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Add Phoenix-MWA 20k evaluation logs and metric revision

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Add Phoenix-MWA (w. Pretrain) evaluation logs

Policy ID: `phoenix-mwa`.
GitHub leaderboard PR: Pending; the GitHub leaderboard PR will be linked here once opened.

This package includes 26 tasks × 4 channels × 50 episodes, matching README/results JSON, sanitized original native logs under `per_task_eval/`, and the Task09 revision under `revisions/task09_axis_y/`. Source paths in the results JSON explicitly identify the selected score inputs. Additional revision copies are not counted as additional episodes.

Reported scores: SR 45.5961538%, LSCR 65.6080128%, efficiency 0.9025351 (25 tasks with success). Checkpoint mapping, episode seeds, execution budgets, historical Task27/42 differences and Task09 revision details are recorded in the evaluation metadata. Numerical Task09 replay inputs and a portable verification script are included.

Target branch: `main`. The accepted HF commit can be pinned in `evaluation.logs.revision` after review.

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  1. phoenix-mwa/README.md +35 -0
  2. phoenix-mwa/leaderboard_phoenix-mwa.json +0 -0
  3. phoenix-mwa/metadata/protocol.json +0 -0
  4. phoenix-mwa/metadata/protocol_comparison.json +455 -0
  5. phoenix-mwa/metadata/provenance.json +1314 -0
  6. phoenix-mwa/metadata/recorded_scene_metrics.json +0 -0
  7. phoenix-mwa/metadata/training.json +593 -0
  8. phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Equi/per_episode.jsonl +0 -0
  9. phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Equi/summary.json +217 -0
  10. phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Full/per_episode.jsonl +0 -0
  11. phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Full/summary.json +209 -0
  12. phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Inv/per_episode.jsonl +0 -0
  13. phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Inv/summary.json +204 -0
  14. phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/None/per_episode.jsonl +0 -0
  15. phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/None/summary.json +213 -0
  16. phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Equi/per_episode.jsonl +0 -0
  17. phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Equi/summary.json +274 -0
  18. phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Full/per_episode.jsonl +0 -0
  19. phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Full/summary.json +279 -0
  20. phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Inv/per_episode.jsonl +0 -0
  21. phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Inv/summary.json +277 -0
  22. phoenix-mwa/per_task_eval/06_fruit_bowl_loading/None/per_episode.jsonl +0 -0
  23. phoenix-mwa/per_task_eval/06_fruit_bowl_loading/None/summary.json +273 -0
  24. phoenix-mwa/per_task_eval/07_citrus_plate_loading/Equi/per_episode.jsonl +0 -0
  25. phoenix-mwa/per_task_eval/07_citrus_plate_loading/Equi/summary.json +285 -0
  26. phoenix-mwa/per_task_eval/07_citrus_plate_loading/Full/per_episode.jsonl +0 -0
  27. phoenix-mwa/per_task_eval/07_citrus_plate_loading/Full/summary.json +280 -0
  28. phoenix-mwa/per_task_eval/07_citrus_plate_loading/Inv/per_episode.jsonl +0 -0
  29. phoenix-mwa/per_task_eval/07_citrus_plate_loading/Inv/summary.json +291 -0
  30. phoenix-mwa/per_task_eval/07_citrus_plate_loading/None/per_episode.jsonl +0 -0
  31. phoenix-mwa/per_task_eval/07_citrus_plate_loading/None/summary.json +275 -0
  32. phoenix-mwa/per_task_eval/08_frypan_stand_pour/Equi/per_episode.jsonl +0 -0
  33. phoenix-mwa/per_task_eval/08_frypan_stand_pour/Equi/summary.json +243 -0
  34. phoenix-mwa/per_task_eval/08_frypan_stand_pour/Full/per_episode.jsonl +0 -0
  35. phoenix-mwa/per_task_eval/08_frypan_stand_pour/Full/summary.json +235 -0
  36. phoenix-mwa/per_task_eval/08_frypan_stand_pour/Inv/per_episode.jsonl +0 -0
  37. phoenix-mwa/per_task_eval/08_frypan_stand_pour/Inv/summary.json +235 -0
  38. phoenix-mwa/per_task_eval/08_frypan_stand_pour/None/per_episode.jsonl +0 -0
  39. phoenix-mwa/per_task_eval/08_frypan_stand_pour/None/summary.json +243 -0
  40. phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/Equi/per_episode.jsonl +0 -0
  41. phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/Equi/summary.json +239 -0
  42. phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/Full/per_episode.jsonl +0 -0
  43. phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/Full/summary.json +232 -0
  44. phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/Inv/per_episode.jsonl +0 -0
  45. phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/Inv/summary.json +228 -0
  46. phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/None/per_episode.jsonl +0 -0
  47. phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/None/summary.json +243 -0
  48. phoenix-mwa/per_task_eval/12_screwdriver_box_and_hammer/Equi/per_episode.jsonl +0 -0
  49. phoenix-mwa/per_task_eval/12_screwdriver_box_and_hammer/Equi/summary.json +275 -0
  50. phoenix-mwa/per_task_eval/12_screwdriver_box_and_hammer/Full/per_episode.jsonl +0 -0
phoenix-mwa/README.md ADDED
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+ # Phoenix-MWA (w. Pretrain)
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+
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+ **Anyverse & OpenPhoenix**
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+
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+ Phoenix-MWA jointly predicts future visual states and robot actions from RGB observations, robot state, language and embodiment identity. It combines Wan appearance latents with Phoenix Encoder–CS-VAE geometric and semantic latents, using interacting video and action experts. This entry reports the pretrained model after task-group post-training on Bench2Dex demonstrations.
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+
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+ [Project](https://openphoenix-team.github.io/Phoenix-pages/) · [Code](https://github.com/Anyverse-Dynamics/Phoenix-MWA) · [Models](https://huggingface.co/AnyverseDynamics) · [Contributions](https://openphoenix-team.github.io/Phoenix-pages/#contributions-heading)
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+
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+ ## Evaluation
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+
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+ 26 tasks, 12 arm–hand combinations, four channels, 50 episodes per task/channel (5,200 episodes). The evaluated policies use RGB, proprioception and language. Thirteen task-group checkpoints are evaluated at post-training step 20,000; the task-to-checkpoint mapping and individual training configurations are recorded in the linked evaluation metadata.
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+
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+ | Metric | Result |
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+ | --- | ---: |
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+ | None SR | 54.2% |
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+ | Equi. SR | 38.5% |
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+ | Inv. SR | 44.1% |
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+ | Full SR | 45.6% |
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+ | Four-channel mean SR | 45.6% |
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+ | Four-channel mean LSCR | 65.6% |
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+ | Efficiency (25 tasks with success) | 0.9025 |
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+
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+ The results JSON contains full-precision scores, protocol settings, source-log references and metric-revision metadata. [Evaluation logs and metadata](https://huggingface.co/datasets/Bench2Dex/Leaderboard/tree/main/phoenix-mwa).
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+
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+ ## Attribution
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+
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+ Advisers: Qichao Zhang, Haoran Li, Dongbin Zhao.
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+
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+ Project leads: Yupeng Zheng, Zhongpu Xia.
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+
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+ Core contributors: Yupeng Zheng, Chaoyue Li, Linbo Wang, Xiang Li, Secant, Zebin Xing.
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+
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+ The complete contribution roles and ordering are listed on the [project page](https://openphoenix-team.github.io/Phoenix-pages/#contributions-heading).
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+
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+ Correspondence: zhengyupeng18@mails.ucas.ac.cn.
phoenix-mwa/leaderboard_phoenix-mwa.json ADDED
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phoenix-mwa/metadata/recorded_scene_metrics.json ADDED
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+ "checkpoint_sha256": "d1155c7c59cea8e8bee7a124c0bedb0768f64364226b86d0069f3e248434c4cf",
449
+ "checkpoint_step": 20000
450
+ },
451
+ "22": {
452
+ "task": "22_tool_box_loading",
453
+ "robot_key": "multi_panda_with_orca",
454
+ "checkpoint_group": "panda_orca",
455
+ "checkpoint_sha256": "f17dd6be661b42ccb1983b4be03775106693509d1af67b01542a484c8608acd7",
456
+ "checkpoint_step": 20000
457
+ },
458
+ "24": {
459
+ "task": "24_stationery_category_sorting",
460
+ "robot_key": "multi_rm_65_with_revo2",
461
+ "checkpoint_group": "rm65_revo2",
462
+ "checkpoint_sha256": "66cc0a6c5d9f4d356a7b7332d7fe3e7f839c434742307920fc4d8104c49d6b5f",
463
+ "checkpoint_step": 20000
464
+ },
465
+ "26": {
466
+ "task": "26_canned_food_tray_line_arrangement",
467
+ "robot_key": "multi_iiwa7_with_sharpa",
468
+ "checkpoint_group": "iiwa7_sharpa",
469
+ "checkpoint_sha256": "e744851b52f78fa0b193e0609bc0a9704f45ff7cfb680b63283f84fad463b0a0",
470
+ "checkpoint_step": 20000
471
+ },
472
+ "27": {
473
+ "task": "27_ball_box_loading",
474
+ "robot_key": "multi_ur5_wuji_with_flange",
475
+ "checkpoint_group": "ur5_wuji",
476
+ "checkpoint_sha256": "d1155c7c59cea8e8bee7a124c0bedb0768f64364226b86d0069f3e248434c4cf",
477
+ "checkpoint_step": 20000
478
+ },
479
+ "32": {
480
+ "task": "32_baking_tray_prep_with_tools",
481
+ "robot_key": "multi_iiwa7_with_sharpa",
482
+ "checkpoint_group": "iiwa7_sharpa",
483
+ "checkpoint_sha256": "e744851b52f78fa0b193e0609bc0a9704f45ff7cfb680b63283f84fad463b0a0",
484
+ "checkpoint_step": 20000
485
+ },
486
+ "34": {
487
+ "task": "34_fridge_wine_interhand_pour",
488
+ "robot_key": "multi_ur5_rh5dg2_with_flange",
489
+ "checkpoint_group": "ur5_rh5dg2",
490
+ "checkpoint_sha256": "e055746439652678f0a59fefb677270cdc812c2fdda0c5c7961de89972a13850",
491
+ "checkpoint_step": 20000
492
+ },
493
+ "42": {
494
+ "task": "42_trash_disposal",
495
+ "robot_key": "multi_ur5_rh56dfx_with_flange",
496
+ "checkpoint_group": "ur5_rh56dfx",
497
+ "checkpoint_sha256": "357404b91fe9674f7a240bf45614b30fe14a47cc840c68e46663eaf92aa2fc31",
498
+ "checkpoint_step": 20000
499
+ },
500
+ "43": {
501
+ "task": "43_fridge_fruit_shelf_sorting",
502
+ "robot_key": "multi_ur5_shadow_hand_with_flange",
503
+ "checkpoint_group": "ur5_shadow",
504
+ "checkpoint_sha256": "9f8f6d46aa13e836f71b68a0a09b732a63c52178c412cf8551deff139e16f87a",
505
+ "checkpoint_step": 20000
506
+ },
507
+ "44": {
508
+ "task": "44_microwave_bowl_loading",
509
+ "robot_key": "multi_ur5_schunk_hand_with_flange",
510
+ "checkpoint_group": "ur5_schunk",
511
+ "checkpoint_sha256": "c50bee5a2280a6c48b078793786c45da79f71909c09d6bde5bc34f4dddf09fa2",
512
+ "checkpoint_step": 20000
513
+ },
514
+ "51": {
515
+ "task": "51_toilet_lid_cleaner_pour",
516
+ "robot_key": "multi_xarm7_with_leap",
517
+ "checkpoint_group": "xarm_leap",
518
+ "checkpoint_sha256": "9795dc6229f2a1afa2407753c40a1b1d63b5f845c21e1f3f5ab1aa55783f36ce",
519
+ "checkpoint_step": 20000
520
+ },
521
+ "60": {
522
+ "task": "60_breadbasket_fast_food_loading",
523
+ "robot_key": "multi_ur5_rh5dg2_with_flange",
524
+ "checkpoint_group": "ur5_rh5dg2",
525
+ "checkpoint_sha256": "e055746439652678f0a59fefb677270cdc812c2fdda0c5c7961de89972a13850",
526
+ "checkpoint_step": 20000
527
+ },
528
+ "61": {
529
+ "task": "61_medicine_shoebox_pack",
530
+ "robot_key": "multi_panda_with_orca",
531
+ "checkpoint_group": "panda_orca",
532
+ "checkpoint_sha256": "f17dd6be661b42ccb1983b4be03775106693509d1af67b01542a484c8608acd7",
533
+ "checkpoint_step": 20000
534
+ },
535
+ "62": {
536
+ "task": "62_shoebox_accessory_pack",
537
+ "robot_key": "multi_xarm7_with_leap",
538
+ "checkpoint_group": "xarm_leap",
539
+ "checkpoint_sha256": "9795dc6229f2a1afa2407753c40a1b1d63b5f845c21e1f3f5ab1aa55783f36ce",
540
+ "checkpoint_step": 20000
541
+ },
542
+ "64": {
543
+ "task": "64_sports_ball_cup_sort",
544
+ "robot_key": "multi_panda_with_allegro",
545
+ "checkpoint_group": "panda_allegro",
546
+ "checkpoint_sha256": "d7850e6c68d45e4c55ae30538d8df6ec37fe9c245f2b46d809d83a93fe7909f5",
547
+ "checkpoint_step": 20000
548
+ },
549
+ "67": {
550
+ "task": "67_faucet_cup_water_fill",
551
+ "robot_key": "multi_rm_65_with_revo2",
552
+ "checkpoint_group": "rm65_revo2",
553
+ "checkpoint_sha256": "66cc0a6c5d9f4d356a7b7332d7fe3e7f839c434742307920fc4d8104c49d6b5f",
554
+ "checkpoint_step": 20000
555
+ },
556
+ "73": {
557
+ "task": "73_jigsaw_puzzle_assembly",
558
+ "robot_key": "multi_iiwa7_with_sharpa",
559
+ "checkpoint_group": "iiwa7_sharpa",
560
+ "checkpoint_sha256": "e744851b52f78fa0b193e0609bc0a9704f45ff7cfb680b63283f84fad463b0a0",
561
+ "checkpoint_step": 20000
562
+ },
563
+ "76": {
564
+ "task": "76_soup_serving",
565
+ "robot_key": "multi_ur5_shadow_hand_with_flange",
566
+ "checkpoint_group": "ur5_shadow",
567
+ "checkpoint_sha256": "9f8f6d46aa13e836f71b68a0a09b732a63c52178c412cf8551deff139e16f87a",
568
+ "checkpoint_step": 20000
569
+ },
570
+ "79": {
571
+ "task": "79_bimanual_piano_melody",
572
+ "robot_key": "multi_xarm7_with_ability",
573
+ "checkpoint_group": "xarm_ability",
574
+ "checkpoint_sha256": "80697ff7d79dec66d27cbfe3d4e95ce49a30de822866d9e826559a3f0d8a3e54",
575
+ "checkpoint_step": 20000
576
+ },
577
+ "80": {
578
+ "task": "80_gaming_desk_setup",
579
+ "robot_key": "multi_jaka_zu7_dexhand021_with_flange",
580
+ "checkpoint_group": "jaka_dexhand021",
581
+ "checkpoint_sha256": "881b450e3b8274dca3c252b4829cf2c4cdf3ea668a502758751d0252783e28f7",
582
+ "checkpoint_step": 20000
583
+ }
584
+ },
585
+ "inference": {
586
+ "physics_hz": 60,
587
+ "control_hz": 20,
588
+ "execute_steps_per_chunk": 8,
589
+ "denoising_steps": 10
590
+ },
591
+ "code": "https://github.com/Anyverse-Dynamics/Phoenix-MWA",
592
+ "project": "https://openphoenix-team.github.io/Phoenix-pages/"
593
+ }
phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Equi/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Equi/summary.json ADDED
@@ -0,0 +1,217 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 100300000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 21,
10
+ "error_count": 0,
11
+ "evaluation_protocol": "reach_and_stop",
12
+ "early_stop": true,
13
+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 3246,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
48
+ "completion": {
49
+ "success_rate": 0.42,
50
+ "success_rate_ci": {
51
+ "mean": 0.42,
52
+ "ci_low": 0.28,
53
+ "ci_high": 0.56
54
+ }
55
+ },
56
+ "progress": {
57
+ "latched_stage_completion_rate": 0.7999999999999999
58
+ },
59
+ "efficiency": {
60
+ "avg_time_to_success_s": 38.68968253968163
61
+ },
62
+ "safety": {
63
+ "safe_success_rate": 0.32,
64
+ "hard_violation_rate": 0.6,
65
+ "drop_rate": 0.6,
66
+ "high_speed_violation_rate": 0.0,
67
+ "safety_violation_step_rate": 0.00032194172854713295
68
+ },
69
+ "robustness": {}
70
+ },
71
+ "diagnostic_metrics": {
72
+ "completion": {
73
+ "ever_instant_success_rate": 0.44,
74
+ "at_end_success_rate": 0.42,
75
+ "task_family_success_rate": {
76
+ "table_setting": 0.42
77
+ }
78
+ },
79
+ "progress": {
80
+ "current_stage_completion_rate": 0.7266666666666667,
81
+ "current_chain_depth_progress_score": 0.7266666666666667,
82
+ "latched_chain_depth_progress_score": 0.7999999999999999,
83
+ "avg_current_chain_depth": 2.18,
84
+ "avg_latched_chain_depth": 2.4
85
+ },
86
+ "efficiency": {
87
+ "task_efficiency": 0.9475126809157436,
88
+ "expert_time_s": 36.06666666666666,
89
+ "expert_time_step": 2164,
90
+ "avg_steps_to_success": 2321.3809523809523,
91
+ "avg_policy_steps_to_success": 774.0952380952381,
92
+ "avg_policy_queries_to_success": 97.0952380952381
93
+ },
94
+ "safety": {
95
+ "safety_violation_events_per_step": 0.00032194172854713295,
96
+ "violation_counts": {
97
+ "drop_to_table_obj_194_wineglass_1": 14,
98
+ "drop_to_table_obj_194_wineglass_2": 18,
99
+ "drop_to_table_obj_194_wineglass_3": 14
100
+ },
101
+ "robot_constraint_violation_rate": 0.14,
102
+ "finger_joint_limit_saturation_rate": 0.02,
103
+ "joint_limit_active_step_rate": 0.000587893591259982,
104
+ "finger_joint_limit_saturation_step_rate": 2.7994932917141996e-05,
105
+ "max_joint_limit_excess_rad": 0.1330091953277588,
106
+ "robot_constraint_diagnostics": {
107
+ "joint_limit_soft_counts": {
108
+ "index_q1": 7,
109
+ "middle_q2": 1,
110
+ "multi_pinky_q1": 3,
111
+ "multi_ring_q1": 25,
112
+ "multi_ring_q2": 29,
113
+ "ring_q1": 19
114
+ },
115
+ "joint_limit_hard_counts": {
116
+ "index_q1": 10,
117
+ "middle_q1": 5,
118
+ "middle_q2": 8,
119
+ "multi_pinky_q1": 30,
120
+ "multi_pinky_q2": 1,
121
+ "multi_ring_q1": 4,
122
+ "multi_ring_q2": 2,
123
+ "pinky_q1": 4,
124
+ "pinky_q2": 6,
125
+ "ring_q1": 4,
126
+ "ring_q2": 10
127
+ },
128
+ "joint_limit_hard_episode_events": 60,
129
+ "finger_joint_limit_saturation_counts": {
130
+ "multi_ring_q2": 4
131
+ },
132
+ "joint_limit_max_excess_by_joint": {
133
+ "index_q1": 0.014194332994520664,
134
+ "index_q2": 1.0837928776652461e-08,
135
+ "middle_q1": 0.0069047375582158566,
136
+ "middle_q2": 0.010361372493207455,
137
+ "multi_index_q1": 0.001831734087318182,
138
+ "multi_index_q2": 6.380975747788398e-09,
139
+ "multi_middle_q1": 0.0027556479908525944,
140
+ "multi_middle_q2": 0.00021021846623625606,
141
+ "multi_pinky_q1": 0.014804677106440067,
142
+ "multi_pinky_q2": 0.005829924251884222,
143
+ "multi_ring_q1": 0.047604918479919434,
144
+ "multi_ring_q2": 0.1330091953277588,
145
+ "pinky_q1": 0.008469262160360813,
146
+ "pinky_q2": 0.007756456732749939,
147
+ "ring_q1": 0.10595820844173431,
148
+ "ring_q2": 0.008440306410193443,
149
+ "thumb_q2": 0.0022937641479074955
150
+ },
151
+ "coverage": {
152
+ "hard_limit_source": {
153
+ "available": 50,
154
+ "unavailable": 0,
155
+ "unknown": 0
156
+ },
157
+ "joint_role_manifest": {
158
+ "available": 50,
159
+ "unavailable": 0,
160
+ "unknown": 0
161
+ }
162
+ },
163
+ "hard_limit_sources": {
164
+ "runtime.joint_pos_limits": 50
165
+ },
166
+ "soft_limit_sources": {
167
+ "runtime.soft_joint_pos_limits": 50
168
+ },
169
+ "unknown_runtime_joint_names": [],
170
+ "baseline_checks": {
171
+ "post_home": {
172
+ "checked": 50,
173
+ "hard_violation_episodes": 0
174
+ },
175
+ "post_reset": {
176
+ "checked": 50,
177
+ "hard_violation_episodes": 0
178
+ }
179
+ }
180
+ }
181
+ },
182
+ "robot_motion": {
183
+ "joint_acceleration_rms": 10.898824524587344,
184
+ "joint_effort_rms": 99.25163295297398,
185
+ "joint_jerk_rms": 1082.7729124035027,
186
+ "joint_velocity_rms": 0.8175478942672126
187
+ },
188
+ "grasp": {
189
+ "kinematic_grasp_stability_index": 0.8990404433813901,
190
+ "mean_kinematic_grasp_stability": 0.5475813579927613,
191
+ "per_object_best_kinematic_grasp_stability": {
192
+ "obj_194_wineglass_1": 0.7523286207871921,
193
+ "obj_194_wineglass_2": 0.7917638823608858,
194
+ "obj_194_wineglass_3": 0.7180963386856588
195
+ },
196
+ "grasp_gsi_diagnostics": {
197
+ "mean_anti_slip_score": 0.8642628080689531,
198
+ "mean_duration_score": 0.5260066414835616,
199
+ "mean_hold_score": 0.20045048832072054,
200
+ "mean_kinematic_stability_score": 0.11291487764442736,
201
+ "mean_legacy_gsi": 0.3936666859265249,
202
+ "mean_lift_score": 0.23500656830273367,
203
+ "mean_motion_stability_score": 0.17899972372223344
204
+ }
205
+ },
206
+ "tool": {
207
+ "tool_selection_accuracy": null,
208
+ "tool_switch_success_rate": null,
209
+ "tool_switch_total": 0,
210
+ "tool_switch_successful": 0
211
+ },
212
+ "runtime": {
213
+ "avg_steps": 2857.66,
214
+ "error_count": 0
215
+ }
216
+ }
217
+ }
phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Full/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Full/summary.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 200300000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 25,
10
+ "error_count": 0,
11
+ "evaluation_protocol": "reach_and_stop",
12
+ "early_stop": true,
13
+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 3246,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
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phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Inv/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/Inv/summary.json ADDED
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The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/03_wine_glass_plate_balance/None/summary.json ADDED
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+ {
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+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
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phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Equi/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Equi/summary.json ADDED
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+ {
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+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
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+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
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+ "right_middle_1_joint": 2598,
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+ "right_middle_2_joint": 207,
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+ "right_ring_1_joint": 2418,
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+ "right_ring_2_joint": 285,
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+ "right_thumb_1_joint": 19,
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+ "right_thumb_2_joint": 3622,
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+ "right_thumb_3_joint": 222,
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+ "right_thumb_4_joint": 794
182
+ },
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+ "joint_limit_max_excess_by_joint": {
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+ "left_index_1_joint": 0.8752114176750183,
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+ "left_index_2_joint": 0.03676307201385498,
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+ "left_little_1_joint": 0.751541256904602,
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+ "left_little_2_joint": 0.21070699393749237,
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+ "left_middle_1_joint": 0.9057557582855225,
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+ "left_middle_2_joint": 0.07114344090223312,
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+ "left_ring_1_joint": 1.2723243236541748,
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+ "left_ring_2_joint": 0.1675352305173874,
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+ "left_thumb_2_joint": 0.16841433942317963,
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+ "left_thumb_3_joint": 0.2649204134941101,
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+ "left_thumb_4_joint": 0.3890720307826996,
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+ "right_index_1_joint": 1.3841030597686768,
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+ "right_index_2_joint": 0.22251828014850616,
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+ "right_little_2_joint": 1.6543946266174316,
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+ "right_middle_1_joint": 1.726485013961792,
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+ "right_middle_2_joint": 0.48631811141967773,
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+ "right_ring_1_joint": 1.6592764854431152,
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+ "right_ring_2_joint": 0.5074188709259033,
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+ "right_thumb_1_joint": 0.39208003878593445,
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+ "right_thumb_2_joint": 0.5023699998855591,
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+ "right_thumb_3_joint": 0.7703933119773865,
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+ "right_thumb_4_joint": 1.5994541645050049
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+ "available": 50,
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+ "unavailable": 0,
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+ "unknown": 0
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+ },
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+ "joint_role_manifest": {
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+ "available": 50,
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+ "unavailable": 0,
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+ "unknown": 0
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+ }
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+ },
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+ "hard_limit_sources": {
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+ "runtime.joint_pos_limits": 50
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+ },
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+ "soft_limit_sources": {
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+ "runtime.soft_joint_pos_limits": 50
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+ },
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+ "unknown_runtime_joint_names": [],
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+ "baseline_checks": {
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+ "post_home": {
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+ "checked": 50,
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+ "hard_violation_episodes": 0
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+ },
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+ "post_reset": {
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+ "checked": 50,
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+ "hard_violation_episodes": 0
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+ }
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+ }
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+ }
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+ },
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+ "robot_motion": {
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+ "joint_acceleration_rms": 56.31817602892391,
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+ "joint_effort_rms": 40.731647265568824,
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+ "joint_jerk_rms": 5748.682742798095,
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+ "joint_velocity_rms": 1.1011323392446744
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+ },
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+ "grasp": {
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+ "kinematic_grasp_stability_index": 0.879213665215155,
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+ "mean_kinematic_grasp_stability": 0.3790486090713221,
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+ "per_object_best_kinematic_grasp_stability": {
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+ "obj_011_banana_2": 0.5959890698007086,
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+ "obj_013_apple_3": 0.8057258421990461,
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+ "obj_013_apple_4": 0.22526109168319083
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+ },
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+ "grasp_gsi_diagnostics": {
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+ "mean_duration_score": 0.14746360556750746,
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+ "mean_hold_score": 0.13602703941110414,
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+ "mean_kinematic_stability_score": 0.0841006474941012,
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+ "mean_legacy_gsi": 0.29992392371725046,
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+ "mean_lift_score": 0.21383882953069072,
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+ "mean_motion_stability_score": 0.1274400467283903
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+ }
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+ },
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+ "tool": {
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+ "tool_selection_accuracy": null,
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+ "tool_switch_total": 0,
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+ "tool_switch_successful": 0
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+ },
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+ "runtime": {
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+ "avg_steps": 1665.44,
271
+ "error_count": 0
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+ }
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+ }
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+ }
phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Full/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Full/summary.json ADDED
@@ -0,0 +1,279 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 200600000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 24,
10
+ "error_count": 0,
11
+ "evaluation_protocol": "reach_and_stop",
12
+ "early_stop": true,
13
+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 1920,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
48
+ "completion": {
49
+ "success_rate": 0.48,
50
+ "success_rate_ci": {
51
+ "mean": 0.48,
52
+ "ci_low": 0.34,
53
+ "ci_high": 0.62
54
+ }
55
+ },
56
+ "progress": {
57
+ "latched_stage_completion_rate": 0.74
58
+ },
59
+ "efficiency": {
60
+ "avg_time_to_success_s": 22.654861111111106
61
+ },
62
+ "safety": {
63
+ "safe_success_rate": 0.34,
64
+ "hard_violation_rate": 0.64,
65
+ "drop_rate": 0.48,
66
+ "high_speed_violation_rate": 0.52,
67
+ "safety_violation_step_rate": 0.0010176514059338768
68
+ },
69
+ "robustness": {}
70
+ },
71
+ "diagnostic_metrics": {
72
+ "completion": {
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+ "ever_instant_success_rate": 0.52,
74
+ "at_end_success_rate": 0.48,
75
+ "task_family_success_rate": {
76
+ "rigid_pick_place": 0.48
77
+ }
78
+ },
79
+ "progress": {
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+ "current_stage_completion_rate": 0.69,
81
+ "current_chain_depth_progress_score": 0.7466666666666667,
82
+ "latched_chain_depth_progress_score": 0.7933333333333333,
83
+ "avg_current_chain_depth": 2.24,
84
+ "avg_latched_chain_depth": 2.38
85
+ },
86
+ "efficiency": {
87
+ "task_efficiency": 0.9450724497506614,
88
+ "expert_time_s": 21.333333333333332,
89
+ "expert_time_step": 1280,
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+ "avg_steps_to_success": 1359.2916666666667,
91
+ "avg_policy_steps_to_success": 453.4583333333333,
92
+ "avg_policy_queries_to_success": 57.166666666666664
93
+ },
94
+ "safety": {
95
+ "safety_violation_events_per_step": 0.0008116981452091637,
96
+ "violation_counts": {
97
+ "drop_to_table_obj_011_banana_2": 7,
98
+ "drop_to_table_obj_013_apple_3": 14,
99
+ "drop_to_table_obj_013_apple_4": 16,
100
+ "high_speed_obj_011_banana_2": 1,
101
+ "high_speed_obj_013_apple_3": 17,
102
+ "high_speed_obj_013_apple_4": 12
103
+ },
104
+ "robot_constraint_violation_rate": 1.0,
105
+ "finger_joint_limit_saturation_rate": 1.0,
106
+ "joint_limit_active_step_rate": 0.16179445864579672,
107
+ "finger_joint_limit_saturation_step_rate": 0.09832450964951601,
108
+ "max_joint_limit_excess_rad": 1.5319896936416626,
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+ "robot_constraint_diagnostics": {
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+ "joint_limit_soft_counts": {
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+ "left_index_1_joint": 2211,
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+ "left_index_2_joint": 46,
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+ "left_little_1_joint": 2957,
114
+ "left_little_2_joint": 902,
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+ "left_middle_1_joint": 3020,
116
+ "left_middle_2_joint": 370,
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+ "left_ring_1_joint": 3159,
118
+ "left_ring_2_joint": 727,
119
+ "left_thumb_1_joint": 701,
120
+ "left_thumb_2_joint": 82,
121
+ "left_thumb_3_joint": 624,
122
+ "left_thumb_4_joint": 239,
123
+ "right_index_1_joint": 1668,
124
+ "right_index_2_joint": 158,
125
+ "right_little_1_joint": 1974,
126
+ "right_little_2_joint": 218,
127
+ "right_middle_1_joint": 2109,
128
+ "right_middle_2_joint": 397,
129
+ "right_ring_1_joint": 1754,
130
+ "right_ring_2_joint": 642,
131
+ "right_thumb_1_joint": 187,
132
+ "right_thumb_2_joint": 7669,
133
+ "right_thumb_3_joint": 70,
134
+ "right_thumb_4_joint": 663
135
+ },
136
+ "joint_limit_hard_counts": {
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+ "left_index_1_joint": 75,
138
+ "left_index_2_joint": 87,
139
+ "left_little_1_joint": 57,
140
+ "left_little_2_joint": 248,
141
+ "left_middle_1_joint": 57,
142
+ "left_middle_2_joint": 353,
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+ "left_ring_1_joint": 52,
144
+ "left_ring_2_joint": 296,
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+ "left_thumb_1_joint": 1,
146
+ "left_thumb_2_joint": 4,
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+ "left_thumb_4_joint": 16,
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+ "right_index_1_joint": 81,
150
+ "right_index_2_joint": 78,
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+ "right_little_1_joint": 39,
152
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153
+ "right_middle_1_joint": 65,
154
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155
+ "right_ring_1_joint": 56,
156
+ "right_ring_2_joint": 95,
157
+ "right_thumb_1_joint": 17,
158
+ "right_thumb_2_joint": 120,
159
+ "right_thumb_3_joint": 12,
160
+ "right_thumb_4_joint": 56
161
+ },
162
+ "joint_limit_hard_episode_events": 227,
163
+ "finger_joint_limit_saturation_counts": {
164
+ "left_index_1_joint": 1266,
165
+ "left_little_1_joint": 2214,
166
+ "left_little_2_joint": 345,
167
+ "left_middle_1_joint": 2061,
168
+ "left_ring_1_joint": 2283,
169
+ "left_ring_2_joint": 20,
170
+ "left_thumb_1_joint": 654,
171
+ "left_thumb_2_joint": 9,
172
+ "left_thumb_3_joint": 540,
173
+ "left_thumb_4_joint": 161,
174
+ "right_index_1_joint": 839,
175
+ "right_index_2_joint": 5,
176
+ "right_little_1_joint": 1706,
177
+ "right_little_2_joint": 15,
178
+ "right_middle_1_joint": 1416,
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+ "right_middle_2_joint": 39,
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+ "right_ring_1_joint": 1297,
181
+ "right_ring_2_joint": 300,
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+ "right_thumb_1_joint": 24,
183
+ "right_thumb_2_joint": 3744,
184
+ "right_thumb_3_joint": 5,
185
+ "right_thumb_4_joint": 413
186
+ },
187
+ "joint_limit_max_excess_by_joint": {
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+ "left_index_1_joint": 0.8203338384628296,
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+ "left_index_2_joint": 0.04655429720878601,
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+ "left_little_1_joint": 1.1897494792938232,
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+ "left_little_2_joint": 0.2966943383216858,
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+ "left_middle_1_joint": 0.9982564449310303,
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+ "left_middle_2_joint": 0.0658297911286354,
194
+ "left_ring_1_joint": 1.089830994606018,
195
+ "left_ring_2_joint": 0.154735267162323,
196
+ "left_thumb_1_joint": 0.41374003887176514,
197
+ "left_thumb_2_joint": 0.1942363828420639,
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+ "left_thumb_4_joint": 0.9072517156600952,
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+ "right_index_1_joint": 0.9876055717468262,
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+ "right_little_1_joint": 1.5319896936416626,
203
+ "right_little_2_joint": 0.36329615116119385,
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+ "right_middle_1_joint": 1.3770991563796997,
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+ "right_middle_2_joint": 0.3287695050239563,
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+ "right_ring_1_joint": 1.12842857837677,
207
+ "right_ring_2_joint": 0.7712134718894958,
208
+ "right_thumb_1_joint": 0.5219295620918274,
209
+ "right_thumb_2_joint": 0.5373188853263855,
210
+ "right_thumb_3_joint": 0.434775173664093,
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+ "right_thumb_4_joint": 1.0378228425979614
212
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213
+ "coverage": {
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+ "hard_limit_source": {
215
+ "available": 50,
216
+ "unavailable": 0,
217
+ "unknown": 0
218
+ },
219
+ "joint_role_manifest": {
220
+ "available": 50,
221
+ "unavailable": 0,
222
+ "unknown": 0
223
+ }
224
+ },
225
+ "hard_limit_sources": {
226
+ "runtime.joint_pos_limits": 50
227
+ },
228
+ "soft_limit_sources": {
229
+ "runtime.soft_joint_pos_limits": 50
230
+ },
231
+ "unknown_runtime_joint_names": [],
232
+ "baseline_checks": {
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+ "post_home": {
234
+ "checked": 50,
235
+ "hard_violation_episodes": 0
236
+ },
237
+ "post_reset": {
238
+ "checked": 50,
239
+ "hard_violation_episodes": 0
240
+ }
241
+ }
242
+ }
243
+ },
244
+ "robot_motion": {
245
+ "joint_acceleration_rms": 57.2050984456453,
246
+ "joint_effort_rms": 40.20184772665213,
247
+ "joint_jerk_rms": 5854.560240911381,
248
+ "joint_velocity_rms": 1.112720446343472
249
+ },
250
+ "grasp": {
251
+ "kinematic_grasp_stability_index": 0.8572059380119315,
252
+ "mean_kinematic_grasp_stability": 0.38311189152523606,
253
+ "per_object_best_kinematic_grasp_stability": {
254
+ "obj_011_banana_2": 0.671647618254743,
255
+ "obj_013_apple_3": 0.7477404151893703,
256
+ "obj_013_apple_4": 0.22693822333722286
257
+ },
258
+ "grasp_gsi_diagnostics": {
259
+ "mean_anti_slip_score": 0.9184465489795873,
260
+ "mean_duration_score": 0.15716635228042464,
261
+ "mean_hold_score": 0.1474223992951597,
262
+ "mean_kinematic_stability_score": 0.09768601965486201,
263
+ "mean_legacy_gsi": 0.3061351204132316,
264
+ "mean_lift_score": 0.2254888941768768,
265
+ "mean_motion_stability_score": 0.13703480682475022
266
+ }
267
+ },
268
+ "tool": {
269
+ "tool_selection_accuracy": null,
270
+ "tool_switch_success_rate": null,
271
+ "tool_switch_total": 0,
272
+ "tool_switch_successful": 0
273
+ },
274
+ "runtime": {
275
+ "avg_steps": 1650.86,
276
+ "error_count": 0
277
+ }
278
+ }
279
+ }
phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Inv/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/06_fruit_bowl_loading/Inv/summary.json ADDED
@@ -0,0 +1,277 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 100600000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 26,
10
+ "error_count": 0,
11
+ "evaluation_protocol": "reach_and_stop",
12
+ "early_stop": true,
13
+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 1920,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
48
+ "completion": {
49
+ "success_rate": 0.52,
50
+ "success_rate_ci": {
51
+ "mean": 0.52,
52
+ "ci_low": 0.38,
53
+ "ci_high": 0.66
54
+ }
55
+ },
56
+ "progress": {
57
+ "latched_stage_completion_rate": 0.815
58
+ },
59
+ "efficiency": {
60
+ "avg_time_to_success_s": 22.34871794871796
61
+ },
62
+ "safety": {
63
+ "safe_success_rate": 0.46,
64
+ "hard_violation_rate": 0.52,
65
+ "drop_rate": 0.38,
66
+ "high_speed_violation_rate": 0.42,
67
+ "safety_violation_step_rate": 0.0008277327535085986
68
+ },
69
+ "robustness": {}
70
+ },
71
+ "diagnostic_metrics": {
72
+ "completion": {
73
+ "ever_instant_success_rate": 0.54,
74
+ "at_end_success_rate": 0.52,
75
+ "task_family_success_rate": {
76
+ "rigid_pick_place": 0.52
77
+ }
78
+ },
79
+ "progress": {
80
+ "current_stage_completion_rate": 0.765,
81
+ "current_chain_depth_progress_score": 0.8466666666666667,
82
+ "latched_chain_depth_progress_score": 0.8533333333333333,
83
+ "avg_current_chain_depth": 2.54,
84
+ "avg_latched_chain_depth": 2.56
85
+ },
86
+ "efficiency": {
87
+ "task_efficiency": 0.9558606346720725,
88
+ "expert_time_s": 21.333333333333332,
89
+ "expert_time_step": 1280,
90
+ "avg_steps_to_success": 1340.923076923077,
91
+ "avg_policy_steps_to_success": 447.34615384615387,
92
+ "avg_policy_queries_to_success": 56.38461538461539
93
+ },
94
+ "safety": {
95
+ "safety_violation_events_per_step": 0.0006671278908875272,
96
+ "violation_counts": {
97
+ "drop_to_table_obj_011_banana_2": 3,
98
+ "drop_to_table_obj_013_apple_3": 11,
99
+ "drop_to_table_obj_013_apple_4": 12,
100
+ "high_speed_obj_011_banana_2": 1,
101
+ "high_speed_obj_013_apple_3": 17,
102
+ "high_speed_obj_013_apple_4": 10
103
+ },
104
+ "robot_constraint_violation_rate": 1.0,
105
+ "finger_joint_limit_saturation_rate": 1.0,
106
+ "joint_limit_active_step_rate": 0.15059794425775844,
107
+ "finger_joint_limit_saturation_step_rate": 0.09292844435659221,
108
+ "max_joint_limit_excess_rad": 1.4334502220153809,
109
+ "robot_constraint_diagnostics": {
110
+ "joint_limit_soft_counts": {
111
+ "left_index_1_joint": 1619,
112
+ "left_index_2_joint": 79,
113
+ "left_little_1_joint": 2639,
114
+ "left_little_2_joint": 379,
115
+ "left_middle_1_joint": 2570,
116
+ "left_middle_2_joint": 248,
117
+ "left_ring_1_joint": 2740,
118
+ "left_ring_2_joint": 356,
119
+ "left_thumb_1_joint": 86,
120
+ "left_thumb_2_joint": 115,
121
+ "left_thumb_3_joint": 163,
122
+ "left_thumb_4_joint": 232,
123
+ "right_index_1_joint": 1285,
124
+ "right_index_2_joint": 196,
125
+ "right_little_1_joint": 1679,
126
+ "right_little_2_joint": 406,
127
+ "right_middle_1_joint": 1722,
128
+ "right_middle_2_joint": 371,
129
+ "right_ring_1_joint": 1597,
130
+ "right_ring_2_joint": 459,
131
+ "right_thumb_1_joint": 79,
132
+ "right_thumb_2_joint": 7223,
133
+ "right_thumb_3_joint": 96,
134
+ "right_thumb_4_joint": 883
135
+ },
136
+ "joint_limit_hard_counts": {
137
+ "left_index_1_joint": 76,
138
+ "left_index_2_joint": 110,
139
+ "left_little_1_joint": 61,
140
+ "left_little_2_joint": 190,
141
+ "left_middle_1_joint": 66,
142
+ "left_middle_2_joint": 225,
143
+ "left_ring_1_joint": 66,
144
+ "left_ring_2_joint": 255,
145
+ "left_thumb_1_joint": 1,
146
+ "left_thumb_2_joint": 4,
147
+ "left_thumb_3_joint": 10,
148
+ "left_thumb_4_joint": 13,
149
+ "right_index_1_joint": 51,
150
+ "right_index_2_joint": 93,
151
+ "right_little_1_joint": 36,
152
+ "right_little_2_joint": 43,
153
+ "right_middle_1_joint": 63,
154
+ "right_middle_2_joint": 114,
155
+ "right_ring_1_joint": 40,
156
+ "right_ring_2_joint": 94,
157
+ "right_thumb_1_joint": 8,
158
+ "right_thumb_2_joint": 112,
159
+ "right_thumb_3_joint": 12,
160
+ "right_thumb_4_joint": 59
161
+ },
162
+ "joint_limit_hard_episode_events": 230,
163
+ "finger_joint_limit_saturation_counts": {
164
+ "left_index_1_joint": 596,
165
+ "left_little_1_joint": 1844,
166
+ "left_little_2_joint": 12,
167
+ "left_middle_1_joint": 1556,
168
+ "left_ring_1_joint": 1806,
169
+ "left_thumb_1_joint": 40,
170
+ "left_thumb_2_joint": 61,
171
+ "left_thumb_3_joint": 111,
172
+ "left_thumb_4_joint": 90,
173
+ "right_index_1_joint": 658,
174
+ "right_index_2_joint": 5,
175
+ "right_little_1_joint": 1385,
176
+ "right_little_2_joint": 115,
177
+ "right_middle_1_joint": 1128,
178
+ "right_middle_2_joint": 29,
179
+ "right_ring_1_joint": 1213,
180
+ "right_ring_2_joint": 28,
181
+ "right_thumb_2_joint": 3810,
182
+ "right_thumb_3_joint": 43,
183
+ "right_thumb_4_joint": 529
184
+ },
185
+ "joint_limit_max_excess_by_joint": {
186
+ "left_index_1_joint": 0.9077624082565308,
187
+ "left_index_2_joint": 0.06104794517159462,
188
+ "left_little_1_joint": 1.264432430267334,
189
+ "left_little_2_joint": 0.34197115898132324,
190
+ "left_middle_1_joint": 1.1176635026931763,
191
+ "left_middle_2_joint": 0.09196021407842636,
192
+ "left_ring_1_joint": 1.0791287422180176,
193
+ "left_ring_2_joint": 0.0882897600531578,
194
+ "left_thumb_1_joint": 0.30763834714889526,
195
+ "left_thumb_2_joint": 0.3377212584018707,
196
+ "left_thumb_3_joint": 0.6781724095344543,
197
+ "left_thumb_4_joint": 0.5228350162506104,
198
+ "right_index_1_joint": 0.9405854344367981,
199
+ "right_index_2_joint": 0.21603210270404816,
200
+ "right_little_1_joint": 1.4334502220153809,
201
+ "right_little_2_joint": 0.5400116443634033,
202
+ "right_middle_1_joint": 1.1614736318588257,
203
+ "right_middle_2_joint": 0.21471861004829407,
204
+ "right_ring_1_joint": 1.1389814615249634,
205
+ "right_ring_2_joint": 0.2415095716714859,
206
+ "right_thumb_1_joint": 0.21850751340389252,
207
+ "right_thumb_2_joint": 0.43933552503585815,
208
+ "right_thumb_3_joint": 0.8681949973106384,
209
+ "right_thumb_4_joint": 1.1454395055770874
210
+ },
211
+ "coverage": {
212
+ "hard_limit_source": {
213
+ "available": 50,
214
+ "unavailable": 0,
215
+ "unknown": 0
216
+ },
217
+ "joint_role_manifest": {
218
+ "available": 50,
219
+ "unavailable": 0,
220
+ "unknown": 0
221
+ }
222
+ },
223
+ "hard_limit_sources": {
224
+ "runtime.joint_pos_limits": 50
225
+ },
226
+ "soft_limit_sources": {
227
+ "runtime.soft_joint_pos_limits": 50
228
+ },
229
+ "unknown_runtime_joint_names": [],
230
+ "baseline_checks": {
231
+ "post_home": {
232
+ "checked": 50,
233
+ "hard_violation_episodes": 0
234
+ },
235
+ "post_reset": {
236
+ "checked": 50,
237
+ "hard_violation_episodes": 0
238
+ }
239
+ }
240
+ }
241
+ },
242
+ "robot_motion": {
243
+ "joint_acceleration_rms": 59.85129306034158,
244
+ "joint_effort_rms": 40.902674030827534,
245
+ "joint_jerk_rms": 6147.373287894109,
246
+ "joint_velocity_rms": 1.1578168737183283
247
+ },
248
+ "grasp": {
249
+ "kinematic_grasp_stability_index": 0.8685723267763585,
250
+ "mean_kinematic_grasp_stability": 0.3682621724933999,
251
+ "per_object_best_kinematic_grasp_stability": {
252
+ "obj_011_banana_2": 0.6623123579194179,
253
+ "obj_013_apple_3": 0.7193472166407828,
254
+ "obj_013_apple_4": 0.22882014225259614
255
+ },
256
+ "grasp_gsi_diagnostics": {
257
+ "mean_anti_slip_score": 0.9194266446749804,
258
+ "mean_duration_score": 0.15015268707052798,
259
+ "mean_hold_score": 0.14215194532917816,
260
+ "mean_kinematic_stability_score": 0.09384051294331859,
261
+ "mean_legacy_gsi": 0.30211586872088514,
262
+ "mean_lift_score": 0.22061964017833788,
263
+ "mean_motion_stability_score": 0.13204866034760446
264
+ }
265
+ },
266
+ "tool": {
267
+ "tool_selection_accuracy": null,
268
+ "tool_switch_success_rate": null,
269
+ "tool_switch_total": 0,
270
+ "tool_switch_successful": 0
271
+ },
272
+ "runtime": {
273
+ "avg_steps": 1618.88,
274
+ "error_count": 0
275
+ }
276
+ }
277
+ }
phoenix-mwa/per_task_eval/06_fruit_bowl_loading/None/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/06_fruit_bowl_loading/None/summary.json ADDED
@@ -0,0 +1,273 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 100600000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 44,
10
+ "error_count": 0,
11
+ "evaluation_protocol": "reach_and_stop",
12
+ "early_stop": true,
13
+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 1920,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
48
+ "completion": {
49
+ "success_rate": 0.88,
50
+ "success_rate_ci": {
51
+ "mean": 0.88,
52
+ "ci_low": 0.78,
53
+ "ci_high": 0.96
54
+ }
55
+ },
56
+ "progress": {
57
+ "latched_stage_completion_rate": 0.99
58
+ },
59
+ "efficiency": {
60
+ "avg_time_to_success_s": 22.92348484848483
61
+ },
62
+ "safety": {
63
+ "safe_success_rate": 0.64,
64
+ "hard_violation_rate": 0.36,
65
+ "drop_rate": 0.08,
66
+ "high_speed_violation_rate": 0.34,
67
+ "safety_violation_step_rate": 0.0004442100002776313
68
+ },
69
+ "robustness": {}
70
+ },
71
+ "diagnostic_metrics": {
72
+ "completion": {
73
+ "ever_instant_success_rate": 0.96,
74
+ "at_end_success_rate": 0.88,
75
+ "task_family_success_rate": {
76
+ "rigid_pick_place": 0.88
77
+ }
78
+ },
79
+ "progress": {
80
+ "current_stage_completion_rate": 0.965,
81
+ "current_chain_depth_progress_score": 0.96,
82
+ "latched_chain_depth_progress_score": 0.9866666666666667,
83
+ "avg_current_chain_depth": 2.88,
84
+ "avg_latched_chain_depth": 2.96
85
+ },
86
+ "efficiency": {
87
+ "task_efficiency": 0.9339482641707566,
88
+ "expert_time_s": 21.333333333333332,
89
+ "expert_time_step": 1280,
90
+ "avg_steps_to_success": 1375.409090909091,
91
+ "avg_policy_steps_to_success": 458.75,
92
+ "avg_policy_queries_to_success": 57.68181818181818
93
+ },
94
+ "safety": {
95
+ "safety_violation_events_per_step": 0.00034703906271689943,
96
+ "violation_counts": {
97
+ "drop_to_table_obj_011_banana_2": 2,
98
+ "drop_to_table_obj_013_apple_4": 2,
99
+ "high_speed_obj_011_banana_2": 1,
100
+ "high_speed_obj_013_apple_3": 8,
101
+ "high_speed_obj_013_apple_4": 12
102
+ },
103
+ "robot_constraint_violation_rate": 1.0,
104
+ "finger_joint_limit_saturation_rate": 0.96,
105
+ "joint_limit_active_step_rate": 0.1290846497681779,
106
+ "finger_joint_limit_saturation_step_rate": 0.05855243066159527,
107
+ "max_joint_limit_excess_rad": 1.633890151977539,
108
+ "robot_constraint_diagnostics": {
109
+ "joint_limit_soft_counts": {
110
+ "left_index_1_joint": 1300,
111
+ "left_index_2_joint": 28,
112
+ "left_little_1_joint": 1598,
113
+ "left_little_2_joint": 233,
114
+ "left_middle_1_joint": 1626,
115
+ "left_middle_2_joint": 287,
116
+ "left_ring_1_joint": 1739,
117
+ "left_ring_2_joint": 300,
118
+ "left_thumb_2_joint": 90,
119
+ "left_thumb_3_joint": 89,
120
+ "left_thumb_4_joint": 117,
121
+ "right_index_1_joint": 581,
122
+ "right_index_2_joint": 31,
123
+ "right_little_1_joint": 717,
124
+ "right_little_2_joint": 134,
125
+ "right_middle_1_joint": 898,
126
+ "right_middle_2_joint": 80,
127
+ "right_ring_1_joint": 718,
128
+ "right_ring_2_joint": 239,
129
+ "right_thumb_1_joint": 62,
130
+ "right_thumb_2_joint": 5964,
131
+ "right_thumb_3_joint": 22,
132
+ "right_thumb_4_joint": 485
133
+ },
134
+ "joint_limit_hard_counts": {
135
+ "left_index_1_joint": 65,
136
+ "left_index_2_joint": 53,
137
+ "left_little_1_joint": 49,
138
+ "left_little_2_joint": 116,
139
+ "left_middle_1_joint": 54,
140
+ "left_middle_2_joint": 151,
141
+ "left_ring_1_joint": 51,
142
+ "left_ring_2_joint": 158,
143
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+ }
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+ }
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+ }
phoenix-mwa/per_task_eval/07_citrus_plate_loading/Equi/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/07_citrus_plate_loading/Equi/summary.json ADDED
@@ -0,0 +1,285 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 100700000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 43,
10
+ "error_count": 0,
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+ "evaluation_protocol": "reach_and_stop",
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+ "early_stop": true,
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+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 1806,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
48
+ "completion": {
49
+ "success_rate": 0.86,
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+ "success_rate_ci": {
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+ "mean": 0.86,
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+ "ci_low": 0.76,
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+ "ci_high": 0.94
54
+ }
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+ },
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+ "progress": {
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+ },
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+ "efficiency": {
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+ },
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+ "safety": {
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+ "safe_success_rate": 0.78,
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+ "hard_violation_rate": 0.14,
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+ "drop_rate": 0.08,
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+ "high_speed_violation_rate": 0.06,
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+ "safety_violation_step_rate": 9.320036747573462e-05
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+ },
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+ "robustness": {}
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+ "diagnostic_metrics": {
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+ "at_end_success_rate": 0.88,
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+ "task_family_success_rate": {
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+ "rigid_pick_place": 0.86
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+ }
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+ },
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+ "current_chain_depth_progress_score": 0.94,
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+ "latched_chain_depth_progress_score": 0.94,
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+ "avg_current_chain_depth": 1.88,
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+ "avg_latched_chain_depth": 1.88
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+ },
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+ "expert_time_step": 1203,
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+ "violation_counts": {
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+ "drop_to_table_obj_014_lemon_2": 1,
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+ "drop_to_table_obj_014_lemon_3": 2,
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+ "drop_to_table_obj_017_orange_5": 1,
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+ "high_speed_obj_014_lemon_2": 2,
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+ "high_speed_obj_014_lemon_3": 1
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+ },
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+ "robot_constraint_violation_rate": 1.0,
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+ "finger_joint_limit_saturation_rate": 0.96,
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+ "joint_limit_active_step_rate": 0.12355705859640247,
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+ "finger_joint_limit_saturation_step_rate": 0.042233080804718603,
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+ "max_joint_limit_excess_rad": 0.841049313545227,
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+ "robot_constraint_diagnostics": {
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+ "joint_limit_soft_counts": {
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+ "soft_limit_sources": {
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+ "unknown_runtime_joint_names": [],
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+ "baseline_checks": {
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+ "mean_kinematic_grasp_stability": 0.4520797130143796,
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+ "per_object_best_kinematic_grasp_stability": {
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+ "obj_014_lemon_2": 0.6003191643629674,
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+ "obj_014_lemon_3": 0.606146829892045,
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+ "obj_017_orange_4": 0.34347504522914285,
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phoenix-mwa/per_task_eval/07_citrus_plate_loading/Full/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/07_citrus_plate_loading/Full/summary.json ADDED
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1
+ {
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+ "metric_schema_version": "core-v1.8-policy-step-query-split",
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+ "metadata": {
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+ "policy_name": "Phoenix-dex-step20000",
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+ "base_seed": 200700000,
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+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
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+ "randomization_recorded": true,
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+ "n_episodes": 50,
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+ "early_stop": true,
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+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
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+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
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+ "max_episode_steps": 1806,
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+ "dwell_time_s": 0.5,
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+ "field_semantics": {
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+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
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+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
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+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
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+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
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+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
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+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
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+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
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+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
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+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
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+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
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+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
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+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
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+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
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+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
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+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
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+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
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+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
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+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
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+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
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+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
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+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
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+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
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+ }
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+ },
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+ "core_metrics": {
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+ "completion": {
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+ "drop_to_table_obj_017_orange_5": 1
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+ },
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+ "joint_limit_hard_episode_events": 424,
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+ "finger_joint_limit_saturation_counts": {
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+ "left_middle_pip_joint": 273,
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+ "left_pinky_dip_joint": 26,
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+ "left_pinky_mcp_joint": 454,
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+ "left_ring_dip_joint": 15,
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+ "left_ring_pip_joint": 473,
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+ "right_index_pitch_joint": 23,
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+ "right_ring_pip_joint": 1778,
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+ "right_thumb_dip_joint": 318,
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+ "right_thumb_mcp_joint": 297
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+ },
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+ "joint_limit_max_excess_by_joint": {
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+ "left_index_dip_joint": 0.05708613991737366,
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+ "left_index_pip_joint": 0.16758915781974792,
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+ "left_index_pitch_joint": 0.035308629274368286,
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+ "left_middle_pip_joint": 0.6380794048309326,
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+ "left_ring_pip_joint": 0.4983071982860565,
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+ "left_thumb_dip_joint": 0.07677567005157471,
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+ "left_thumb_yaw_joint": 6.377031240845099e-05,
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+ "right_index_dip_joint": 2.959262019430753e-05,
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+ "right_index_pip_joint": 0.01012355275452137,
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+ "right_index_pitch_joint": 0.32629871368408203,
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+ "right_pinky_dip_joint": 4.177135451755021e-06,
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+ "coverage": {
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+ "available": 50,
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+ "unknown": 0
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+ },
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+ "joint_role_manifest": {
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+ "available": 50,
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+ }
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+ },
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+ "hard_limit_sources": {
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+ "runtime.joint_pos_limits": 50
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+ "soft_limit_sources": {
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+ "runtime.soft_joint_pos_limits": 50
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+ },
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+ "unknown_runtime_joint_names": [],
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+ "baseline_checks": {
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+ "post_home": {
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+ "checked": 50,
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+ },
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+ "post_reset": {
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+ "hard_violation_episodes": 0
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+ }
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+ }
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+ }
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+ },
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+ "robot_motion": {
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+ "joint_jerk_rms": 8741.967379906813,
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+ "grasp": {
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+ "mean_kinematic_grasp_stability": 0.42242698020458536,
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+ "per_object_best_kinematic_grasp_stability": {
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+ "obj_014_lemon_2": 0.5565586551327147,
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+ "obj_014_lemon_3": 0.5536859224461629,
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+ "obj_017_orange_4": 0.3315138958648452,
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+ "obj_017_orange_5": 0.5114312069106826
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+ "grasp_gsi_diagnostics": {
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+ "mean_anti_slip_score": 0.6541895960683699,
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+ "mean_duration_score": 0.435474569604468,
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+ "mean_hold_score": 0.38504938699057906,
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+ "mean_kinematic_stability_score": 0.10237015531873837,
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+ "mean_legacy_gsi": 0.44725969186809295,
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+ "mean_lift_score": 0.4591288698037216,
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+ "mean_motion_stability_score": 0.37162490896165645
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+ }
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+ },
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+ "tool": {
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+ "tool_selection_accuracy": null,
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+ "tool_switch_success_rate": null,
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+ "tool_switch_total": 0,
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+ "tool_switch_successful": 0
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+ },
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+ "runtime": {
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+ "avg_steps": 1433.5,
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+ "error_count": 0
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+ }
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+ }
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+ }
phoenix-mwa/per_task_eval/07_citrus_plate_loading/Inv/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/07_citrus_plate_loading/Inv/summary.json ADDED
@@ -0,0 +1,291 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "metric_schema_version": "core-v1.8-policy-step-query-split",
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+ "metadata": {
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+ "policy_name": "Phoenix-dex-step20000",
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+ "base_seed": 100700000,
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+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
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+ "randomization_recorded": true,
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+ "n_episodes": 50,
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+ "successes": 45,
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+ "evaluation_protocol": "reach_and_stop",
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+ "early_stop": true,
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+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
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+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
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+ "max_episode_steps": 1806,
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+ "dwell_time_s": 0.5,
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+ "field_semantics": {
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+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
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+ },
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+ "core_metrics": {
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+ "completion": {
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+ "success_rate": 0.9,
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+ },
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+ },
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+ "safety": {
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+ "hard_violation_rate": 0.02,
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+ "drop_rate": 0.02,
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+ "high_speed_violation_rate": 0.0,
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+ "safety_violation_step_rate": 1.3518628670307684e-05
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+ },
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+ "robustness": {}
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+ },
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+ "diagnostic_metrics": {
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+ "completion": {
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+ },
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+ "current_chain_depth_progress_score": 0.98,
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+ "latched_chain_depth_progress_score": 0.98,
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+ "avg_current_chain_depth": 1.96,
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+ "avg_latched_chain_depth": 1.96
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+ },
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+ "finger_joint_limit_saturation_step_rate": 0.05019466825285243,
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+ "left_middle_dip_joint": 602,
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114
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115
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122
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+ "right_thumb_yaw_joint": 300
135
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+ "joint_limit_hard_counts": {
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139
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140
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141
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142
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143
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153
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154
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
+ "right_thumb_pip_joint": 1,
165
+ "right_thumb_yaw_joint": 2
166
+ },
167
+ "joint_limit_hard_episode_events": 413,
168
+ "finger_joint_limit_saturation_counts": {
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+ "left_middle_dip_joint": 9,
170
+ "left_middle_pip_joint": 373,
171
+ "left_pinky_dip_joint": 29,
172
+ "left_pinky_mcp_joint": 585,
173
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174
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+ "left_ring_pip_joint": 562,
177
+ "left_thumb_dip_joint": 2,
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181
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183
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+ "right_pinky_pip_joint": 927,
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186
+ "right_ring_mcp_joint": 414,
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+ "right_ring_pip_joint": 2055,
188
+ "right_thumb_dip_joint": 241,
189
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+ "right_thumb_yaw_joint": 253
191
+ },
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+ "joint_limit_max_excess_by_joint": {
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+ "left_index_dip_joint": 0.05987772345542908,
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+ "left_pinky_pip_joint": 0.45967113971710205,
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+ "right_thumb_pip_joint": 0.03830765560269356,
222
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+ },
224
+ "coverage": {
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226
+ "available": 50,
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+ "unavailable": 0,
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+ "unknown": 0
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+ },
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+ "joint_role_manifest": {
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+ "available": 50,
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+ "unavailable": 0,
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+ "unknown": 0
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+ }
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+ },
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+ "hard_limit_sources": {
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+ "runtime.joint_pos_limits": 50
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+ },
239
+ "soft_limit_sources": {
240
+ "runtime.soft_joint_pos_limits": 50
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+ },
242
+ "unknown_runtime_joint_names": [],
243
+ "baseline_checks": {
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+ "post_home": {
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+ "checked": 50,
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+ "hard_violation_episodes": 0
247
+ },
248
+ "post_reset": {
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+ "checked": 50,
250
+ "hard_violation_episodes": 0
251
+ }
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+ }
253
+ }
254
+ },
255
+ "robot_motion": {
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+ "joint_acceleration_rms": 86.99253561899694,
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+ "joint_effort_rms": 25.297346372018975,
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+ "joint_jerk_rms": 8864.687968044791,
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+ "joint_velocity_rms": 1.1832755405045539
260
+ },
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+ "grasp": {
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+ "kinematic_grasp_stability_index": 0.8312196097370061,
263
+ "mean_kinematic_grasp_stability": 0.45467701276891226,
264
+ "per_object_best_kinematic_grasp_stability": {
265
+ "obj_014_lemon_2": 0.6208099621240277,
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+ "obj_014_lemon_3": 0.5478930117752113,
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+ "obj_017_orange_4": 0.36596388736138874,
268
+ "obj_017_orange_5": 0.50410557923105
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+ },
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+ "grasp_gsi_diagnostics": {
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+ "mean_anti_slip_score": 0.6627190260965891,
272
+ "mean_duration_score": 0.44378458503152324,
273
+ "mean_hold_score": 0.3922304695192492,
274
+ "mean_kinematic_stability_score": 0.1149156385466708,
275
+ "mean_legacy_gsi": 0.4557066379694166,
276
+ "mean_lift_score": 0.465525824478412,
277
+ "mean_motion_stability_score": 0.38064523772811276
278
+ }
279
+ },
280
+ "tool": {
281
+ "tool_selection_accuracy": null,
282
+ "tool_switch_success_rate": null,
283
+ "tool_switch_total": 0,
284
+ "tool_switch_successful": 0
285
+ },
286
+ "runtime": {
287
+ "avg_steps": 1479.44,
288
+ "error_count": 0
289
+ }
290
+ }
291
+ }
phoenix-mwa/per_task_eval/07_citrus_plate_loading/None/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/07_citrus_plate_loading/None/summary.json ADDED
@@ -0,0 +1,275 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 100700000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 48,
10
+ "error_count": 0,
11
+ "evaluation_protocol": "reach_and_stop",
12
+ "early_stop": true,
13
+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 1806,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
48
+ "completion": {
49
+ "success_rate": 0.96,
50
+ "success_rate_ci": {
51
+ "mean": 0.96,
52
+ "ci_low": 0.9,
53
+ "ci_high": 1.0
54
+ }
55
+ },
56
+ "progress": {
57
+ "latched_stage_completion_rate": 0.97
58
+ },
59
+ "efficiency": {
60
+ "avg_time_to_success_s": 23.747569444444377
61
+ },
62
+ "safety": {
63
+ "safe_success_rate": 0.96,
64
+ "hard_violation_rate": 0.04,
65
+ "drop_rate": 0.04,
66
+ "high_speed_violation_rate": 0.0,
67
+ "safety_violation_step_rate": 2.7775848899381986e-05
68
+ },
69
+ "robustness": {}
70
+ },
71
+ "diagnostic_metrics": {
72
+ "completion": {
73
+ "ever_instant_success_rate": 0.96,
74
+ "at_end_success_rate": 0.96,
75
+ "task_family_success_rate": {
76
+ "rigid_pick_place": 0.96
77
+ }
78
+ },
79
+ "progress": {
80
+ "current_stage_completion_rate": 0.97,
81
+ "current_chain_depth_progress_score": 0.98,
82
+ "latched_chain_depth_progress_score": 0.98,
83
+ "avg_current_chain_depth": 1.96,
84
+ "avg_latched_chain_depth": 1.96
85
+ },
86
+ "efficiency": {
87
+ "task_efficiency": 0.846707422214669,
88
+ "expert_time_s": 20.05,
89
+ "expert_time_step": 1203,
90
+ "avg_steps_to_success": 1424.8541666666667,
91
+ "avg_policy_steps_to_success": 475.3125,
92
+ "avg_policy_queries_to_success": 59.8125
93
+ },
94
+ "safety": {
95
+ "safety_violation_events_per_step": 2.7775848899381986e-05,
96
+ "violation_counts": {
97
+ "drop_to_table_obj_014_lemon_2": 1,
98
+ "drop_to_table_obj_014_lemon_3": 1
99
+ },
100
+ "robot_constraint_violation_rate": 1.0,
101
+ "finger_joint_limit_saturation_rate": 0.96,
102
+ "joint_limit_active_step_rate": 0.12350531213110201,
103
+ "finger_joint_limit_saturation_step_rate": 0.03413651829734046,
104
+ "max_joint_limit_excess_rad": 0.8237759470939636,
105
+ "robot_constraint_diagnostics": {
106
+ "joint_limit_soft_counts": {
107
+ "left_index_dip_joint": 35,
108
+ "left_index_pip_joint": 77,
109
+ "left_index_pitch_joint": 59,
110
+ "left_middle_dip_joint": 408,
111
+ "left_middle_pip_joint": 999,
112
+ "left_pinky_dip_joint": 49,
113
+ "left_pinky_mcp_joint": 1597,
114
+ "left_pinky_pip_joint": 116,
115
+ "left_ring_dip_joint": 687,
116
+ "left_ring_mcp_joint": 24,
117
+ "left_ring_pip_joint": 1593,
118
+ "left_thumb_dip_joint": 158,
119
+ "right_index_dip_joint": 13,
120
+ "right_index_pip_joint": 12,
121
+ "right_index_pitch_joint": 4,
122
+ "right_middle_dip_joint": 336,
123
+ "right_middle_pip_joint": 591,
124
+ "right_pinky_mcp_joint": 642,
125
+ "right_pinky_pip_joint": 888,
126
+ "right_ring_dip_joint": 1004,
127
+ "right_ring_pip_joint": 2610,
128
+ "right_thumb_dip_joint": 7,
129
+ "right_thumb_mcp_joint": 3528
130
+ },
131
+ "joint_limit_hard_counts": {
132
+ "left_index_dip_joint": 11,
133
+ "left_index_pip_joint": 6,
134
+ "left_index_pitch_joint": 1,
135
+ "left_middle_dip_joint": 184,
136
+ "left_middle_pip_joint": 111,
137
+ "left_middle_pitch_joint": 2,
138
+ "left_pinky_dip_joint": 2,
139
+ "left_pinky_mcp_joint": 149,
140
+ "left_pinky_pip_joint": 10,
141
+ "left_ring_dip_joint": 229,
142
+ "left_ring_mcp_joint": 1,
143
+ "left_ring_pip_joint": 141,
144
+ "left_thumb_dip_joint": 12,
145
+ "right_index_dip_joint": 5,
146
+ "right_index_pip_joint": 5,
147
+ "right_index_pitch_joint": 4,
148
+ "right_middle_dip_joint": 149,
149
+ "right_middle_pip_joint": 102,
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+ "right_middle_pitch_joint": 6,
151
+ "right_pinky_mcp_joint": 48,
152
+ "right_pinky_pip_joint": 47,
153
+ "right_ring_dip_joint": 105,
154
+ "right_ring_pip_joint": 101,
155
+ "right_thumb_dip_joint": 2,
156
+ "right_thumb_mcp_joint": 87
157
+ },
158
+ "joint_limit_hard_episode_events": 382,
159
+ "finger_joint_limit_saturation_counts": {
160
+ "left_index_pip_joint": 18,
161
+ "left_index_pitch_joint": 40,
162
+ "left_middle_pip_joint": 233,
163
+ "left_pinky_dip_joint": 24,
164
+ "left_pinky_mcp_joint": 412,
165
+ "left_pinky_pip_joint": 22,
166
+ "left_ring_dip_joint": 11,
167
+ "left_ring_mcp_joint": 13,
168
+ "left_ring_pip_joint": 553,
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+ "left_thumb_dip_joint": 45,
170
+ "right_middle_pip_joint": 115,
171
+ "right_pinky_mcp_joint": 110,
172
+ "right_pinky_pip_joint": 453,
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+ "right_ring_dip_joint": 117,
174
+ "right_ring_pip_joint": 1565,
175
+ "right_thumb_mcp_joint": 5
176
+ },
177
+ "joint_limit_max_excess_by_joint": {
178
+ "left_index_dip_joint": 0.08898286521434784,
179
+ "left_index_pip_joint": 0.3472951650619507,
180
+ "left_index_pitch_joint": 0.6247618198394775,
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+ "left_middle_dip_joint": 0.08558506518602371,
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+ "left_middle_pip_joint": 0.4867784082889557,
183
+ "left_middle_pitch_joint": 0.007068582344800234,
184
+ "left_pinky_dip_joint": 0.6052839756011963,
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+ "left_pinky_mcp_joint": 0.6312720775604248,
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+ "left_pinky_pip_joint": 0.39636966586112976,
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+ "left_ring_dip_joint": 0.19481775164604187,
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+ "left_ring_mcp_joint": 0.27375462651252747,
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+ "left_ring_pip_joint": 0.6383783221244812,
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+ "left_thumb_dip_joint": 0.5717188715934753,
191
+ "left_thumb_yaw_joint": 7.408622332150117e-05,
192
+ "right_index_dip_joint": 0.09079345315694809,
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+ "right_index_pip_joint": 0.04663251340389252,
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+ "right_index_pitch_joint": 0.03007940761744976,
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+ "right_middle_dip_joint": 0.19056908786296844,
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+ "right_middle_pip_joint": 0.39156603813171387,
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+ "right_middle_pitch_joint": 0.007142376154661179,
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+ "right_pinky_dip_joint": 1.7385926867063972e-06,
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+ "right_pinky_mcp_joint": 0.42411431670188904,
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+ "right_ring_dip_joint": 0.2860642075538635,
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+ "right_ring_mcp_joint": 0.0002504523145034909,
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+ "right_ring_pip_joint": 0.752504825592041,
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+ "right_thumb_dip_joint": 0.055666062980890274,
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+ "right_thumb_mcp_joint": 0.10663709789514542,
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+ "right_thumb_yaw_joint": 0.00021041417494416237
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+ },
208
+ "coverage": {
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+ "hard_limit_source": {
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+ "available": 50,
211
+ "unavailable": 0,
212
+ "unknown": 0
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phoenix-mwa/per_task_eval/08_frypan_stand_pour/Equi/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/08_frypan_stand_pour/Equi/summary.json ADDED
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+ {
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+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
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+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
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+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
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+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
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+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
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+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
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+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
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+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
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+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
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+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
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+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
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+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
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+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
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+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
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+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
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+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
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+ }
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+ "right_hand_Middle_Finger_Proximal": 0.4077962338924408,
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+ "unknown_runtime_joint_names": [],
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+ "baseline_checks": {
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+ "per_object_best_kinematic_grasp_stability": {
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+ "obj_146_olive_oil_1": 0.7883508037957823,
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+ "tool": {
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phoenix-mwa/per_task_eval/08_frypan_stand_pour/Full/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/08_frypan_stand_pour/Full/summary.json ADDED
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1
+ {
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+ "metric_schema_version": "core-v1.8-policy-step-query-split",
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+ "metadata": {
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+ "policy_name": "Phoenix-dex-step20000",
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+ "base_seed": 200800000,
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+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
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+ "randomization_recorded": true,
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+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
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+ "max_episode_steps": 3432,
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+ "dwell_time_s": 0.5,
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+ "field_semantics": {
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+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
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+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
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+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
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+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
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+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
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+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
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+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
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+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
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+ "core_metrics": {
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+ "completion": {
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+ "mean": 0.62,
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+ },
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+ "progress": {
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+ },
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+ "safety": {
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+ "hard_violation_rate": 0.58,
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+ "drop_rate": 0.58,
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+ "high_speed_violation_rate": 0.0,
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+ "safety_violation_step_rate": 0.00021846397227767524
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+ },
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+ "robustness": {}
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+ },
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+ "diagnostic_metrics": {
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+ "completion": {
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+ "at_end_success_rate": 0.62,
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+ "task_family_success_rate": {
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+ "pour_tilt": 0.62
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+ }
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+ },
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+ "progress": {
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+ "current_stage_completion_rate": 0.04,
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+ "current_chain_depth_progress_score": 0.08,
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+ "latched_chain_depth_progress_score": 0.98,
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+ "avg_current_chain_depth": 0.08,
84
+ "avg_latched_chain_depth": 0.98
85
+ },
86
+ "efficiency": {
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88
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89
+ "expert_time_step": 2288,
90
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91
+ "avg_policy_steps_to_success": 726.5483870967741,
92
+ "avg_policy_queries_to_success": 91.25806451612904
93
+ },
94
+ "safety": {
95
+ "safety_violation_events_per_step": 0.00021846397227767524,
96
+ "violation_counts": {
97
+ "drop_to_table_obj_172_soy_sauce_1": 29
98
+ },
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+ "robot_constraint_violation_rate": 1.0,
100
+ "finger_joint_limit_saturation_rate": 0.4,
101
+ "joint_limit_active_step_rate": 0.09030848619533692,
102
+ "finger_joint_limit_saturation_step_rate": 0.02018908433462654,
103
+ "max_joint_limit_excess_rad": 0.3242875635623932,
104
+ "robot_constraint_diagnostics": {
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+ "joint_limit_soft_counts": {
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+ "left_hand_Thumb_Flexion": 270,
107
+ "left_hand_Thumb_Opposition": 2,
108
+ "left_hand_j3": 331,
109
+ "right_hand_Index_Finger_Distal": 474,
110
+ "right_hand_Index_Finger_Proximal": 23,
111
+ "right_hand_Middle_Finger_Distal": 516,
112
+ "right_hand_Middle_Finger_Proximal": 537,
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+ "right_hand_Pinky": 4,
114
+ "right_hand_Ring_Finger": 291,
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+ "right_hand_Thumb_Flexion": 10401,
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+ "right_hand_j13": 10,
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+ "right_hand_j3": 177
118
+ },
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+ "joint_limit_hard_counts": {
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+ "left_hand_Thumb_Flexion": 21,
121
+ "left_hand_Thumb_Opposition": 16,
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+ "left_hand_j3": 10,
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+ "right_hand_Index_Finger_Distal": 111,
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+ "right_hand_Index_Finger_Proximal": 45,
125
+ "right_hand_Middle_Finger_Distal": 162,
126
+ "right_hand_Middle_Finger_Proximal": 539,
127
+ "right_hand_Pinky": 29,
128
+ "right_hand_Ring_Finger": 180,
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+ "right_hand_Thumb_Flexion": 242,
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+ "right_hand_j12": 60,
131
+ "right_hand_j13": 29,
132
+ "right_hand_j3": 34
133
+ },
134
+ "joint_limit_hard_episode_events": 891,
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+ "finger_joint_limit_saturation_counts": {
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+ "left_hand_j3": 104,
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+ "right_hand_Thumb_Flexion": 2576
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+ },
139
+ "joint_limit_max_excess_by_joint": {
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+ "left_hand_Finger_Spread": 0.0006860349094495177,
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+ "left_hand_Index_Finger_Distal": 0.0002585264155641198,
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+ "left_hand_Index_Finger_Proximal": 0.0008345842361450195,
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+ "left_hand_Middle_Finger_Proximal": 0.000732123851776123,
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+ "left_hand_Thumb_Flexion": 0.07301987707614899,
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+ "left_hand_Thumb_Opposition": 0.014795824885368347,
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+ "left_hand_index_spread": 0.004948205780237913,
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+ "left_hand_j14": 1.803840495995246e-05,
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+ "left_hand_j3": 0.3242875635623932,
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+ "left_hand_j4": 1.1812577582759332e-08,
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+ "left_hand_j5": 0.002773865358904004,
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+ "left_hand_ring_spread": 0.0014707929221913218,
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+ "right_hand_Finger_Spread": 0.003998135216534138,
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+ "right_hand_Index_Finger_Distal": 0.1600446105003357,
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+ "right_hand_Index_Finger_Proximal": 0.048595130443573,
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+ "right_hand_Middle_Finger_Distal": 0.17284245789051056,
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+ "right_hand_Middle_Finger_Proximal": 0.1643942892551422,
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+ "right_hand_Pinky": 0.015088435262441635,
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+ "right_hand_Ring_Finger": 0.1175995022058487,
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+ "right_hand_Thumb_Flexion": 0.317638635635376,
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+ "right_hand_index_spread": 0.001613490516319871,
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+ "right_hand_j12": 0.007944717071950436,
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+ "right_hand_j13": 0.016012907028198242,
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+ "right_hand_j14": 0.0005289782420732081,
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+ "right_hand_j15": 0.00026564180734567344,
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+ "right_hand_j16": 0.00017787597607821226,
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+ "right_hand_j17": 6.235872569959611e-05,
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+ "right_hand_j3": 0.09571722894906998,
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+ "right_hand_ring_spread": 0.0033417970407754183
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+ },
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+ "coverage": {
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+ "available": 50,
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+ "unavailable": 0,
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+ "unknown": 0
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+ },
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+ "joint_role_manifest": {
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+ "available": 50,
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+ "unavailable": 0,
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+ "unknown": 0
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+ }
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+ },
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+ "hard_limit_sources": {
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+ "runtime.joint_pos_limits": 50
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+ },
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+ "soft_limit_sources": {
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+ "runtime.soft_joint_pos_limits": 50
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+ },
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+ "unknown_runtime_joint_names": [],
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+ "baseline_checks": {
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+ "post_home": {
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+ "checked": 50,
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+ "hard_violation_episodes": 0
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+ },
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+ "post_reset": {
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+ "checked": 50,
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+ "hard_violation_episodes": 0
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+ }
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+ }
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+ }
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+ },
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+ "robot_motion": {
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+ "joint_acceleration_rms": 13.427451092805804,
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+ "joint_effort_rms": 25.115869666330635,
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+ "joint_jerk_rms": 1307.345822135929,
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+ "joint_velocity_rms": 0.4044540799472592
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+ },
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+ "grasp": {
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+ "kinematic_grasp_stability_index": 0.9294390815256836,
209
+ "mean_kinematic_grasp_stability": 0.46287905386880623,
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+ "per_object_best_kinematic_grasp_stability": {
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+ "obj_146_olive_oil_1": 0.8857512946346672,
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+ "obj_172_soy_sauce_1": 0.846179148591999
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+ },
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+ "grasp_gsi_diagnostics": {
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+ "mean_anti_slip_score": 0.9668368893812228,
216
+ "mean_duration_score": 0.4670636579387583,
217
+ "mean_hold_score": 0.1859283884066753,
218
+ "mean_kinematic_stability_score": 0.12664031650818364,
219
+ "mean_legacy_gsi": 0.39310564414558086,
220
+ "mean_lift_score": 0.2505382090160482,
221
+ "mean_motion_stability_score": 0.16447750157322522
222
+ }
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+ },
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+ "tool": {
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+ "tool_selection_accuracy": 1.0,
226
+ "tool_switch_success_rate": 0.0,
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+ "tool_switch_total": 457,
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+ "tool_switch_successful": 0
229
+ },
230
+ "runtime": {
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+ "avg_steps": 2654.9,
232
+ "error_count": 0
233
+ }
234
+ }
235
+ }
phoenix-mwa/per_task_eval/08_frypan_stand_pour/Inv/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/08_frypan_stand_pour/Inv/summary.json ADDED
@@ -0,0 +1,235 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 100800000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 32,
10
+ "error_count": 0,
11
+ "evaluation_protocol": "reach_and_stop",
12
+ "early_stop": true,
13
+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 3432,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
48
+ "completion": {
49
+ "success_rate": 0.64,
50
+ "success_rate_ci": {
51
+ "mean": 0.64,
52
+ "ci_low": 0.5,
53
+ "ci_high": 0.78
54
+ }
55
+ },
56
+ "progress": {
57
+ "latched_stage_completion_rate": 0.92
58
+ },
59
+ "efficiency": {
60
+ "avg_time_to_success_s": 34.902083333332634
61
+ },
62
+ "safety": {
63
+ "safe_success_rate": 0.26,
64
+ "hard_violation_rate": 0.62,
65
+ "drop_rate": 0.62,
66
+ "high_speed_violation_rate": 0.0,
67
+ "safety_violation_step_rate": 0.0002407056558064416
68
+ },
69
+ "robustness": {}
70
+ },
71
+ "diagnostic_metrics": {
72
+ "completion": {
73
+ "ever_instant_success_rate": 0.64,
74
+ "at_end_success_rate": 0.64,
75
+ "task_family_success_rate": {
76
+ "pour_tilt": 0.64
77
+ }
78
+ },
79
+ "progress": {
80
+ "current_stage_completion_rate": 0.08,
81
+ "current_chain_depth_progress_score": 0.16,
82
+ "latched_chain_depth_progress_score": 0.96,
83
+ "avg_current_chain_depth": 0.16,
84
+ "avg_latched_chain_depth": 0.96
85
+ },
86
+ "efficiency": {
87
+ "task_efficiency": 1.10724674093225,
88
+ "expert_time_s": 38.13333333333333,
89
+ "expert_time_step": 2288,
90
+ "avg_steps_to_success": 2094.125,
91
+ "avg_policy_steps_to_success": 698.40625,
92
+ "avg_policy_queries_to_success": 87.78125
93
+ },
94
+ "safety": {
95
+ "safety_violation_events_per_step": 0.0002407056558064416,
96
+ "violation_counts": {
97
+ "drop_to_table_obj_172_soy_sauce_1": 31
98
+ },
99
+ "robot_constraint_violation_rate": 1.0,
100
+ "finger_joint_limit_saturation_rate": 0.3,
101
+ "joint_limit_active_step_rate": 0.07966580737335777,
102
+ "finger_joint_limit_saturation_step_rate": 0.020157157499145883,
103
+ "max_joint_limit_excess_rad": 0.38074448704719543,
104
+ "robot_constraint_diagnostics": {
105
+ "joint_limit_soft_counts": {
106
+ "left_hand_Thumb_Flexion": 234,
107
+ "left_hand_j3": 456,
108
+ "right_hand_Index_Finger_Distal": 491,
109
+ "right_hand_Index_Finger_Proximal": 13,
110
+ "right_hand_Middle_Finger_Distal": 542,
111
+ "right_hand_Middle_Finger_Proximal": 536,
112
+ "right_hand_Pinky": 20,
113
+ "right_hand_Ring_Finger": 210,
114
+ "right_hand_Thumb_Flexion": 8378,
115
+ "right_hand_j13": 18,
116
+ "right_hand_j3": 396
117
+ },
118
+ "joint_limit_hard_counts": {
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+ "left_hand_Thumb_Flexion": 14,
120
+ "left_hand_Thumb_Opposition": 23,
121
+ "left_hand_index_spread": 1,
122
+ "left_hand_j3": 12,
123
+ "right_hand_Index_Finger_Distal": 89,
124
+ "right_hand_Index_Finger_Proximal": 17,
125
+ "right_hand_Middle_Finger_Distal": 125,
126
+ "right_hand_Middle_Finger_Proximal": 388,
127
+ "right_hand_Pinky": 12,
128
+ "right_hand_Ring_Finger": 84,
129
+ "right_hand_Thumb_Flexion": 262,
130
+ "right_hand_j12": 27,
131
+ "right_hand_j13": 14,
132
+ "right_hand_j3": 47
133
+ },
134
+ "joint_limit_hard_episode_events": 760,
135
+ "finger_joint_limit_saturation_counts": {
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+ "left_hand_j3": 169,
137
+ "right_hand_Thumb_Flexion": 2427
138
+ },
139
+ "joint_limit_max_excess_by_joint": {
140
+ "left_hand_Finger_Spread": 0.0008867722935974598,
141
+ "left_hand_Index_Finger_Distal": 0.00029507672297768295,
142
+ "left_hand_Index_Finger_Proximal": 0.0006029605865478516,
143
+ "left_hand_Middle_Finger_Proximal": 0.0011691451072692871,
144
+ "left_hand_Thumb_Flexion": 0.08209940791130066,
145
+ "left_hand_Thumb_Opposition": 0.009339392185211182,
146
+ "left_hand_index_spread": 0.005834423005580902,
147
+ "left_hand_j14": 2.3605303795193322e-05,
148
+ "left_hand_j3": 0.38074448704719543,
149
+ "left_hand_j4": 9.49942347006072e-09,
150
+ "left_hand_j5": 0.004541185684502125,
151
+ "left_hand_ring_spread": 0.0035463564563542604,
152
+ "right_hand_Finger_Spread": 0.004286438692361116,
153
+ "right_hand_Index_Finger_Distal": 0.1772814244031906,
154
+ "right_hand_Index_Finger_Proximal": 0.028584957122802734,
155
+ "right_hand_Middle_Finger_Distal": 0.19855011999607086,
156
+ "right_hand_Middle_Finger_Proximal": 0.18649956583976746,
157
+ "right_hand_Pinky": 0.19183896481990814,
158
+ "right_hand_Ring_Finger": 0.1476345658302307,
159
+ "right_hand_Thumb_Flexion": 0.26999157667160034,
160
+ "right_hand_index_spread": 0.0015980895841494203,
161
+ "right_hand_j12": 0.008359847590327263,
162
+ "right_hand_j13": 0.1796262413263321,
163
+ "right_hand_j14": 0.0001595777430338785,
164
+ "right_hand_j15": 0.0004319215368013829,
165
+ "right_hand_j16": 0.00011984166485490277,
166
+ "right_hand_j17": 3.8185562516446225e-06,
167
+ "right_hand_j3": 0.10070168226957321,
168
+ "right_hand_ring_spread": 0.00444922037422657
169
+ },
170
+ "coverage": {
171
+ "hard_limit_source": {
172
+ "available": 50,
173
+ "unavailable": 0,
174
+ "unknown": 0
175
+ },
176
+ "joint_role_manifest": {
177
+ "available": 50,
178
+ "unavailable": 0,
179
+ "unknown": 0
180
+ }
181
+ },
182
+ "hard_limit_sources": {
183
+ "runtime.joint_pos_limits": 50
184
+ },
185
+ "soft_limit_sources": {
186
+ "runtime.soft_joint_pos_limits": 50
187
+ },
188
+ "unknown_runtime_joint_names": [],
189
+ "baseline_checks": {
190
+ "post_home": {
191
+ "checked": 50,
192
+ "hard_violation_episodes": 0
193
+ },
194
+ "post_reset": {
195
+ "checked": 50,
196
+ "hard_violation_episodes": 0
197
+ }
198
+ }
199
+ }
200
+ },
201
+ "robot_motion": {
202
+ "joint_acceleration_rms": 13.432690858715738,
203
+ "joint_effort_rms": 25.38439388591474,
204
+ "joint_jerk_rms": 1304.0557946919753,
205
+ "joint_velocity_rms": 0.40457990961953566
206
+ },
207
+ "grasp": {
208
+ "kinematic_grasp_stability_index": 0.9286504602534615,
209
+ "mean_kinematic_grasp_stability": 0.47257914297331793,
210
+ "per_object_best_kinematic_grasp_stability": {
211
+ "obj_146_olive_oil_1": 0.9010398943649054,
212
+ "obj_172_soy_sauce_1": 0.8357323869420689
213
+ },
214
+ "grasp_gsi_diagnostics": {
215
+ "mean_anti_slip_score": 0.9606839991329648,
216
+ "mean_duration_score": 0.4680985572565595,
217
+ "mean_hold_score": 0.18937138139993476,
218
+ "mean_kinematic_stability_score": 0.12779402822854294,
219
+ "mean_legacy_gsi": 0.3922197230622207,
220
+ "mean_lift_score": 0.2508215668819465,
221
+ "mean_motion_stability_score": 0.16332674068331066
222
+ }
223
+ },
224
+ "tool": {
225
+ "tool_selection_accuracy": 1.0,
226
+ "tool_switch_success_rate": 0.0,
227
+ "tool_switch_total": 446,
228
+ "tool_switch_successful": 0
229
+ },
230
+ "runtime": {
231
+ "avg_steps": 2575.76,
232
+ "error_count": 0
233
+ }
234
+ }
235
+ }
phoenix-mwa/per_task_eval/08_frypan_stand_pour/None/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/08_frypan_stand_pour/None/summary.json ADDED
@@ -0,0 +1,243 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 100800000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 31,
10
+ "error_count": 0,
11
+ "evaluation_protocol": "reach_and_stop",
12
+ "early_stop": true,
13
+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 3432,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
48
+ "completion": {
49
+ "success_rate": 0.62,
50
+ "success_rate_ci": {
51
+ "mean": 0.62,
52
+ "ci_low": 0.48,
53
+ "ci_high": 0.76
54
+ }
55
+ },
56
+ "progress": {
57
+ "latched_stage_completion_rate": 0.86
58
+ },
59
+ "efficiency": {
60
+ "avg_time_to_success_s": 34.4940860215047
61
+ },
62
+ "safety": {
63
+ "safe_success_rate": 0.36,
64
+ "hard_violation_rate": 0.5,
65
+ "drop_rate": 0.5,
66
+ "high_speed_violation_rate": 0.0,
67
+ "safety_violation_step_rate": 0.00020870855782386544
68
+ },
69
+ "robustness": {}
70
+ },
71
+ "diagnostic_metrics": {
72
+ "completion": {
73
+ "ever_instant_success_rate": 0.64,
74
+ "at_end_success_rate": 0.64,
75
+ "task_family_success_rate": {
76
+ "pour_tilt": 0.62
77
+ }
78
+ },
79
+ "progress": {
80
+ "current_stage_completion_rate": 0.07,
81
+ "current_chain_depth_progress_score": 0.14,
82
+ "latched_chain_depth_progress_score": 0.96,
83
+ "avg_current_chain_depth": 0.14,
84
+ "avg_latched_chain_depth": 0.96
85
+ },
86
+ "efficiency": {
87
+ "task_efficiency": 1.1206074771463956,
88
+ "expert_time_s": 38.13333333333333,
89
+ "expert_time_step": 2288,
90
+ "avg_steps_to_success": 2069.6451612903224,
91
+ "avg_policy_steps_to_success": 690.2258064516129,
92
+ "avg_policy_queries_to_success": 86.64516129032258
93
+ },
94
+ "safety": {
95
+ "safety_violation_events_per_step": 0.00020870855782386544,
96
+ "violation_counts": {
97
+ "drop_to_table_obj_146_olive_oil_1": 2,
98
+ "drop_to_table_obj_172_soy_sauce_1": 25
99
+ },
100
+ "robot_constraint_violation_rate": 1.0,
101
+ "finger_joint_limit_saturation_rate": 0.36,
102
+ "joint_limit_active_step_rate": 0.06434407538243911,
103
+ "finger_joint_limit_saturation_step_rate": 0.01910069801417672,
104
+ "max_joint_limit_excess_rad": 0.4790991544723511,
105
+ "robot_constraint_diagnostics": {
106
+ "joint_limit_soft_counts": {
107
+ "left_hand_Index_Finger_Distal": 2,
108
+ "left_hand_Thumb_Flexion": 44,
109
+ "left_hand_Thumb_Opposition": 24,
110
+ "left_hand_j3": 156,
111
+ "right_hand_Index_Finger_Distal": 327,
112
+ "right_hand_Index_Finger_Proximal": 132,
113
+ "right_hand_Middle_Finger_Distal": 347,
114
+ "right_hand_Middle_Finger_Proximal": 482,
115
+ "right_hand_Pinky": 75,
116
+ "right_hand_Ring_Finger": 435,
117
+ "right_hand_Thumb_Flexion": 7166,
118
+ "right_hand_j12": 47,
119
+ "right_hand_j13": 57,
120
+ "right_hand_j3": 291
121
+ },
122
+ "joint_limit_hard_counts": {
123
+ "left_hand_Index_Finger_Distal": 1,
124
+ "left_hand_Thumb_Flexion": 6,
125
+ "left_hand_Thumb_Opposition": 6,
126
+ "left_hand_index_spread": 7,
127
+ "left_hand_j3": 8,
128
+ "right_hand_Index_Finger_Distal": 92,
129
+ "right_hand_Index_Finger_Proximal": 64,
130
+ "right_hand_Middle_Finger_Distal": 158,
131
+ "right_hand_Middle_Finger_Proximal": 345,
132
+ "right_hand_Pinky": 41,
133
+ "right_hand_Ring_Finger": 180,
134
+ "right_hand_Thumb_Flexion": 201,
135
+ "right_hand_j12": 57,
136
+ "right_hand_j13": 37,
137
+ "right_hand_j3": 62
138
+ },
139
+ "joint_limit_hard_episode_events": 741,
140
+ "finger_joint_limit_saturation_counts": {
141
+ "left_hand_j3": 38,
142
+ "right_hand_Middle_Finger_Proximal": 51,
143
+ "right_hand_Ring_Finger": 115,
144
+ "right_hand_Thumb_Flexion": 2314
145
+ },
146
+ "joint_limit_max_excess_by_joint": {
147
+ "left_hand_Finger_Spread": 0.003423053305596113,
148
+ "left_hand_Index_Finger_Distal": 0.014076667837798595,
149
+ "left_hand_Index_Finger_Proximal": 0.0005434155464172363,
150
+ "left_hand_Middle_Finger_Proximal": 0.0019637346267700195,
151
+ "left_hand_Thumb_Flexion": 0.09469838440418243,
152
+ "left_hand_Thumb_Opposition": 0.046353332698345184,
153
+ "left_hand_index_spread": 0.007469825446605682,
154
+ "left_hand_j14": 2.465892794134561e-05,
155
+ "left_hand_j3": 0.13694551587104797,
156
+ "left_hand_j4": 8.075743629376575e-09,
157
+ "left_hand_j5": 0.004973003175109625,
158
+ "left_hand_ring_spread": 0.0030780541710555553,
159
+ "right_hand_Finger_Spread": 0.0015675361501052976,
160
+ "right_hand_Index_Finger_Distal": 0.1828543245792389,
161
+ "right_hand_Index_Finger_Proximal": 0.21492373943328857,
162
+ "right_hand_Middle_Finger_Distal": 0.21308797597885132,
163
+ "right_hand_Middle_Finger_Proximal": 0.42842212319374084,
164
+ "right_hand_Pinky": 0.16187849640846252,
165
+ "right_hand_Ring_Finger": 0.4790991544723511,
166
+ "right_hand_Thumb_Flexion": 0.309549480676651,
167
+ "right_hand_Thumb_Opposition": 0.00045186281204223633,
168
+ "right_hand_index_spread": 0.0014117686077952385,
169
+ "right_hand_j12": 0.0937599167227745,
170
+ "right_hand_j13": 0.15501736104488373,
171
+ "right_hand_j14": 0.000904338841792196,
172
+ "right_hand_j15": 0.001766820321790874,
173
+ "right_hand_j16": 0.00017747229139786214,
174
+ "right_hand_j17": 0.00010743808525148779,
175
+ "right_hand_j3": 0.14042320847511292,
176
+ "right_hand_ring_spread": 0.004221945535391569
177
+ },
178
+ "coverage": {
179
+ "hard_limit_source": {
180
+ "available": 50,
181
+ "unavailable": 0,
182
+ "unknown": 0
183
+ },
184
+ "joint_role_manifest": {
185
+ "available": 50,
186
+ "unavailable": 0,
187
+ "unknown": 0
188
+ }
189
+ },
190
+ "hard_limit_sources": {
191
+ "runtime.joint_pos_limits": 50
192
+ },
193
+ "soft_limit_sources": {
194
+ "runtime.soft_joint_pos_limits": 50
195
+ },
196
+ "unknown_runtime_joint_names": [],
197
+ "baseline_checks": {
198
+ "post_home": {
199
+ "checked": 50,
200
+ "hard_violation_episodes": 0
201
+ },
202
+ "post_reset": {
203
+ "checked": 50,
204
+ "hard_violation_episodes": 0
205
+ }
206
+ }
207
+ }
208
+ },
209
+ "robot_motion": {
210
+ "joint_acceleration_rms": 12.58065639179031,
211
+ "joint_effort_rms": 24.44144934230791,
212
+ "joint_jerk_rms": 1222.170560579676,
213
+ "joint_velocity_rms": 0.38647694574122643
214
+ },
215
+ "grasp": {
216
+ "kinematic_grasp_stability_index": 0.9159597513029688,
217
+ "mean_kinematic_grasp_stability": 0.4546801161660266,
218
+ "per_object_best_kinematic_grasp_stability": {
219
+ "obj_146_olive_oil_1": 0.8668400918748639,
220
+ "obj_172_soy_sauce_1": 0.8184527901191002
221
+ },
222
+ "grasp_gsi_diagnostics": {
223
+ "mean_anti_slip_score": 0.9541798596329968,
224
+ "mean_duration_score": 0.46374990692717677,
225
+ "mean_hold_score": 0.16260715219143188,
226
+ "mean_kinematic_stability_score": 0.10493192879220996,
227
+ "mean_legacy_gsi": 0.375270634838996,
228
+ "mean_lift_score": 0.2227504202991156,
229
+ "mean_motion_stability_score": 0.1395934758376354
230
+ }
231
+ },
232
+ "tool": {
233
+ "tool_selection_accuracy": 1.0,
234
+ "tool_switch_success_rate": 0.0,
235
+ "tool_switch_total": 394,
236
+ "tool_switch_successful": 0
237
+ },
238
+ "runtime": {
239
+ "avg_steps": 2587.34,
240
+ "error_count": 0
241
+ }
242
+ }
243
+ }
phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/Equi/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/Equi/summary.json ADDED
@@ -0,0 +1,239 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 100900000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 28,
10
+ "error_count": 0,
11
+ "evaluation_protocol": "reach_and_stop",
12
+ "early_stop": true,
13
+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 1926,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
48
+ "completion": {
49
+ "success_rate": 0.56,
50
+ "success_rate_ci": {
51
+ "mean": 0.56,
52
+ "ci_low": 0.42,
53
+ "ci_high": 0.7
54
+ }
55
+ },
56
+ "progress": {
57
+ "latched_stage_completion_rate": 0.02
58
+ },
59
+ "efficiency": {
60
+ "avg_time_to_success_s": 25.344047619047462
61
+ },
62
+ "safety": {
63
+ "safe_success_rate": 0.54,
64
+ "hard_violation_rate": 0.02,
65
+ "drop_rate": 0.02,
66
+ "high_speed_violation_rate": 0.0,
67
+ "safety_violation_step_rate": 1.1771630370806357e-05
68
+ },
69
+ "robustness": {}
70
+ },
71
+ "diagnostic_metrics": {
72
+ "completion": {
73
+ "ever_instant_success_rate": 0.58,
74
+ "at_end_success_rate": 0.56,
75
+ "task_family_success_rate": {
76
+ "rigid_pick_place": 0.56
77
+ }
78
+ },
79
+ "progress": {
80
+ "current_stage_completion_rate": 0.02,
81
+ "current_chain_depth_progress_score": 0.02,
82
+ "latched_chain_depth_progress_score": 0.02,
83
+ "avg_current_chain_depth": 0.04,
84
+ "avg_latched_chain_depth": 0.04
85
+ },
86
+ "efficiency": {
87
+ "task_efficiency": 0.8476150620175567,
88
+ "expert_time_s": 21.383333333333333,
89
+ "expert_time_step": 1283,
90
+ "avg_steps_to_success": 1520.642857142857,
91
+ "avg_policy_steps_to_success": 507.25,
92
+ "avg_policy_queries_to_success": 63.892857142857146
93
+ },
94
+ "safety": {
95
+ "safety_violation_events_per_step": 1.1771630370806357e-05,
96
+ "violation_counts": {
97
+ "drop_to_table_obj_209_soap_3": 1
98
+ },
99
+ "robot_constraint_violation_rate": 1.0,
100
+ "finger_joint_limit_saturation_rate": 0.98,
101
+ "joint_limit_active_step_rate": 0.1559505591524426,
102
+ "finger_joint_limit_saturation_step_rate": 0.09881106533254856,
103
+ "max_joint_limit_excess_rad": 1.8899388313293457,
104
+ "robot_constraint_diagnostics": {
105
+ "joint_limit_soft_counts": {
106
+ "leap_l_10": 3501,
107
+ "leap_l_2": 905,
108
+ "leap_l_6": 139,
109
+ "leap_l_9": 31,
110
+ "multi_leap_r_1": 1385,
111
+ "multi_leap_r_10": 5410,
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+ "multi_leap_r_12": 293,
113
+ "multi_leap_r_13": 207,
114
+ "multi_leap_r_15": 96,
115
+ "multi_leap_r_2": 3123,
116
+ "multi_leap_r_5": 1734,
117
+ "multi_leap_r_6": 1170,
118
+ "multi_leap_r_9": 1892
119
+ },
120
+ "joint_limit_hard_counts": {
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+ "leap_l_10": 127,
122
+ "leap_l_11": 1,
123
+ "leap_l_2": 643,
124
+ "leap_l_6": 24,
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+ "leap_l_9": 1,
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+ "multi_leap_r_1": 28,
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+ "multi_leap_r_10": 321,
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+ "multi_leap_r_11": 1,
129
+ "multi_leap_r_12": 6,
130
+ "multi_leap_r_13": 5,
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+ "multi_leap_r_15": 2,
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+ "multi_leap_r_2": 225,
133
+ "multi_leap_r_5": 36,
134
+ "multi_leap_r_6": 33,
135
+ "multi_leap_r_9": 41
136
+ },
137
+ "joint_limit_hard_episode_events": 1008,
138
+ "finger_joint_limit_saturation_counts": {
139
+ "leap_l_10": 1906,
140
+ "leap_l_2": 61,
141
+ "leap_l_6": 1,
142
+ "leap_l_9": 5,
143
+ "multi_leap_r_1": 614,
144
+ "multi_leap_r_10": 3804,
145
+ "multi_leap_r_12": 234,
146
+ "multi_leap_r_13": 163,
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+ "multi_leap_r_15": 13,
148
+ "multi_leap_r_2": 2072,
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The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/Inv/summary.json ADDED
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+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
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+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
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+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
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+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
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+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
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+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
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+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
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+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
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+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
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+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
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+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
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+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
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+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
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+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
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+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
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phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/None/per_episode.jsonl ADDED
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phoenix-mwa/per_task_eval/09_cleaner_moisturizer_box_loading/None/summary.json ADDED
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1
+ {
2
+ "metric_schema_version": "core-v1.8-policy-step-query-split",
3
+ "metadata": {
4
+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 100900000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 37,
10
+ "error_count": 0,
11
+ "evaluation_protocol": "reach_and_stop",
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+ "early_stop": true,
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+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 1926,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
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+ "completion": {
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+ "success_rate": 0.74,
50
+ "success_rate_ci": {
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+ "mean": 0.74,
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+ "ci_low": 0.62,
53
+ "ci_high": 0.86
54
+ }
55
+ },
56
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66
+ "high_speed_violation_rate": 0.0,
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+ "avg_latched_chain_depth": 0
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+ "per_object_best_kinematic_grasp_stability": {
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+ "mean_motion_stability_score": 0.3684567616515893
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+ }
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+ "tool": {
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+ }
phoenix-mwa/per_task_eval/12_screwdriver_box_and_hammer/Equi/per_episode.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
phoenix-mwa/per_task_eval/12_screwdriver_box_and_hammer/Equi/summary.json ADDED
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1
+ {
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+ "metric_schema_version": "core-v1.8-policy-step-query-split",
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+ "metadata": {
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+ "policy_name": "Phoenix-dex-step20000",
5
+ "base_seed": 101200000,
6
+ "seed_policy": "episode_seed = base_seed + episode_index - 1",
7
+ "randomization_recorded": true,
8
+ "n_episodes": 50,
9
+ "successes": 25,
10
+ "error_count": 0,
11
+ "evaluation_protocol": "reach_and_stop",
12
+ "early_stop": true,
13
+ "success_definition": "terminal.raw_condition holds for dwell_time_s",
14
+ "measurement_window": "episode_start_to_stable_success_or_failure_budget",
15
+ "max_episode_steps": 3447,
16
+ "dwell_time_s": 0.5,
17
+ "field_semantics": {
18
+ "success_rate": "primary protocol success rate: stable_success for reach_and_stop; terminal at_end_success_budget for fixed_horizon",
19
+ "avg_time_to_success_s": "main efficiency metric: mean time_to_stable_success_s over reached-success episodes",
20
+ "task_efficiency": "benchmark-specific expert-normalized speed ratio: expert_time_s / time_to_stable_success_s over reached-success episodes",
21
+ "avg_steps_to_success": "diagnostic mean steps_to_stable_success over reached-success episodes, or None if no episode succeeds",
22
+ "avg_policy_steps_to_success": "diagnostic mean policy-rate control/action steps through stable success over reached-success episodes",
23
+ "avg_policy_queries_to_success": "diagnostic mean actual model inference queries through stable success over reached-success episodes; None when the first-success query count was not observed",
24
+ "safe_success_rate": "episode success rate with no task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
25
+ "hard_violation_rate": "episode rate with any task-level hard safety violation (drop or tracked-object high speed; joint limits are diagnostic by default)",
26
+ "drop_rate": "episode rate with drop_off_table or drop_to_table_after_lift violation",
27
+ "high_speed_violation_rate": "episode rate with any tracked object exceeding the configured speed threshold",
28
+ "excessive_impact_rate": "deprecated contact-force impact metric; no longer populated by core safety",
29
+ "robot_constraint_violation_rate": "diagnostic episode rate with any asset hard-joint-limit observation; excluded from safe_success_rate unless include_in_core_safety is explicitly enabled",
30
+ "finger_joint_limit_saturation_rate": "episode rate with dexterous finger joints saturated beyond finger joint-limit thresholds; diagnostic by default and not included in safe_success_rate",
31
+ "joint_limit_active_step_rate": "diagnostic mean fraction of steps with any joint exceeding the soft diagnostic margin",
32
+ "finger_joint_limit_saturation_step_rate": "diagnostic mean fraction of steps with finger joint-limit saturation",
33
+ "max_joint_limit_excess_rad": "diagnostic maximum operating/soft-limit excess observed in radians; hard-limit source and role validation are in robot_constraint_diagnostics",
34
+ "safety_violation_rate_time": "compatibility diagnostic; with fixed physics_dt this is equivalent to safety_violation_step_rate and is omitted from grouped summary output",
35
+ "safety_violation_step_rate": "core safety metric: fraction of executed steps with task-level safety violations; joint-limit observations are excluded by default",
36
+ "safety_violation_rate_event": "deprecated compatibility alias of safety_violation_events_per_step; omitted from grouped summary output",
37
+ "safety_violation_events_per_step": "diagnostic event density; may exceed 1 when multiple violations happen in one step",
38
+ "episode_violation_rate": "compatibility alias of hard_violation_rate; omitted from grouped core output",
39
+ "latched_stage_completion_rate": "main progress metric; ever-reached stage completion rate at episode end",
40
+ "current_stage_completion_rate": "diagnostic terminal-state stage completion rate at episode end",
41
+ "current_normalized_progress_score": "chain-depth diagnostic; normalized progress score at episode end",
42
+ "current_chain_depth_progress_score": "alias of current_normalized_progress_score for ordered dependency-depth diagnostics",
43
+ "latched_chain_depth_progress_score": "alias of latched_normalized_progress_score for ever-reached dependency-depth diagnostics",
44
+ "robustness": "success rates grouped by benchmark protocol category: cov, inv, and inv+cov"
45
+ }
46
+ },
47
+ "core_metrics": {
48
+ "completion": {
49
+ "success_rate": 0.5,
50
+ "success_rate_ci": {
51
+ "mean": 0.5,
52
+ "ci_low": 0.36,
53
+ "ci_high": 0.64
54
+ }
55
+ },
56
+ "progress": {
57
+ "latched_stage_completion_rate": 0.74
58
+ },
59
+ "efficiency": {
60
+ "avg_time_to_success_s": 41.76666666666558
61
+ },
62
+ "safety": {
63
+ "safe_success_rate": 0.3,
64
+ "hard_violation_rate": 0.42,
65
+ "drop_rate": 0.16,
66
+ "high_speed_violation_rate": 0.26,
67
+ "safety_violation_step_rate": 0.00028892995128506634
68
+ },
69
+ "robustness": {}
70
+ },
71
+ "diagnostic_metrics": {
72
+ "completion": {
73
+ "ever_instant_success_rate": 0.54,
74
+ "at_end_success_rate": 0.5,
75
+ "task_family_success_rate": {
76
+ "tool_precision_place": 0.5
77
+ }
78
+ },
79
+ "progress": {
80
+ "current_stage_completion_rate": 0.715,
81
+ "current_chain_depth_progress_score": 0.73,
82
+ "latched_chain_depth_progress_score": 0.74,
83
+ "avg_current_chain_depth": 2.92,
84
+ "avg_latched_chain_depth": 2.96
85
+ },
86
+ "efficiency": {
87
+ "task_efficiency": 0.9238901889158819,
88
+ "expert_time_s": 38.28333333333333,
89
+ "expert_time_step": 2297,
90
+ "avg_steps_to_success": 2506,
91
+ "avg_policy_steps_to_success": 835.68,
92
+ "avg_policy_queries_to_success": 104.8
93
+ },
94
+ "safety": {
95
+ "safety_violation_events_per_step": 0.00019485973458760288,
96
+ "violation_counts": {
97
+ "drop_to_table_obj_043_phillips_screwdriver_1": 2,
98
+ "drop_to_table_obj_048_hammer_3": 6,
99
+ "high_speed_obj_043_phillips_screwdriver_1": 10,
100
+ "high_speed_obj_044_flat_screwdriver_2": 4,
101
+ "high_speed_obj_048_hammer_3": 7
102
+ },
103
+ "robot_constraint_violation_rate": 1.0,
104
+ "finger_joint_limit_saturation_rate": 1.0,
105
+ "joint_limit_active_step_rate": 0.21237023349571643,
106
+ "finger_joint_limit_saturation_step_rate": 0.1748698135393919,
107
+ "max_joint_limit_excess_rad": 2.4511208534240723,
108
+ "robot_constraint_diagnostics": {
109
+ "joint_limit_soft_counts": {
110
+ "left_index_1_joint": 6827,
111
+ "left_index_2_joint": 42,
112
+ "left_little_1_joint": 7746,
113
+ "left_little_2_joint": 308,
114
+ "left_middle_1_joint": 11116,
115
+ "left_middle_2_joint": 251,
116
+ "left_ring_1_joint": 10260,
117
+ "left_ring_2_joint": 756,
118
+ "left_thumb_1_joint": 26,
119
+ "left_thumb_2_joint": 6144,
120
+ "left_thumb_3_joint": 5749,
121
+ "left_thumb_4_joint": 5434,
122
+ "right_index_1_joint": 10165,
123
+ "right_little_1_joint": 7437,
124
+ "right_little_2_joint": 277,
125
+ "right_middle_1_joint": 8927,
126
+ "right_middle_2_joint": 38,
127
+ "right_ring_1_joint": 6804,
128
+ "right_ring_2_joint": 67,
129
+ "right_thumb_1_joint": 161,
130
+ "right_thumb_2_joint": 1394,
131
+ "right_thumb_3_joint": 4628,
132
+ "right_thumb_4_joint": 3963
133
+ },
134
+ "joint_limit_hard_counts": {
135
+ "left_index_1_joint": 165,
136
+ "left_index_2_joint": 72,
137
+ "left_little_1_joint": 166,
138
+ "left_little_2_joint": 105,
139
+ "left_middle_1_joint": 161,
140
+ "left_middle_2_joint": 130,
141
+ "left_ring_1_joint": 183,
142
+ "left_ring_2_joint": 156,
143
+ "left_thumb_1_joint": 4,
144
+ "left_thumb_2_joint": 146,
145
+ "left_thumb_3_joint": 81,
146
+ "left_thumb_4_joint": 189,
147
+ "right_index_1_joint": 301,
148
+ "right_little_1_joint": 65,
149
+ "right_little_2_joint": 13,
150
+ "right_middle_1_joint": 88,
151
+ "right_middle_2_joint": 26,
152
+ "right_ring_1_joint": 71,
153
+ "right_ring_2_joint": 25,
154
+ "right_thumb_1_joint": 2,
155
+ "right_thumb_2_joint": 52,
156
+ "right_thumb_3_joint": 38,
157
+ "right_thumb_4_joint": 82
158
+ },
159
+ "joint_limit_hard_episode_events": 549,
160
+ "finger_joint_limit_saturation_counts": {
161
+ "left_index_1_joint": 4161,
162
+ "left_index_2_joint": 2,
163
+ "left_little_1_joint": 5725,
164
+ "left_little_2_joint": 25,
165
+ "left_middle_1_joint": 8601,
166
+ "left_middle_2_joint": 6,
167
+ "left_ring_1_joint": 7752,
168
+ "left_ring_2_joint": 299,
169
+ "left_thumb_2_joint": 3551,
170
+ "left_thumb_3_joint": 4725,
171
+ "left_thumb_4_joint": 3879,
172
+ "right_index_1_joint": 7993,
173
+ "right_little_1_joint": 6360,
174
+ "right_little_2_joint": 203,
175
+ "right_middle_1_joint": 7594,
176
+ "right_ring_1_joint": 5398,
177
+ "right_ring_2_joint": 34,
178
+ "right_thumb_1_joint": 116,
179
+ "right_thumb_2_joint": 355,
180
+ "right_thumb_3_joint": 4107,
181
+ "right_thumb_4_joint": 3336
182
+ },
183
+ "joint_limit_max_excess_by_joint": {
184
+ "left_index_1_joint": 0.8860166072845459,
185
+ "left_index_2_joint": 0.1327744722366333,
186
+ "left_little_1_joint": 1.3321096897125244,
187
+ "left_little_2_joint": 0.16713684797286987,
188
+ "left_middle_1_joint": 1.021526575088501,
189
+ "left_middle_2_joint": 0.16748547554016113,
190
+ "left_ring_1_joint": 1.0708839893341064,
191
+ "left_ring_2_joint": 0.8130919337272644,
192
+ "left_thumb_1_joint": 0.04084054008126259,
193
+ "left_thumb_2_joint": 0.5276160836219788,
194
+ "left_thumb_3_joint": 2.4511208534240723,
195
+ "left_thumb_4_joint": 2.04093599319458,
196
+ "right_index_1_joint": 1.4397464990615845,
197
+ "right_index_2_joint": 8.359927960555069e-06,
198
+ "right_little_1_joint": 0.7231441140174866,
199
+ "right_little_2_joint": 0.39722275733947754,
200
+ "right_middle_1_joint": 1.045583963394165,
201
+ "right_middle_2_joint": 0.054251447319984436,
202
+ "right_ring_1_joint": 0.7618807554244995,
203
+ "right_ring_2_joint": 0.20820415019989014,
204
+ "right_thumb_1_joint": 0.3300688564777374,
205
+ "right_thumb_2_joint": 0.31597214937210083,
206
+ "right_thumb_3_joint": 2.0031440258026123,
207
+ "right_thumb_4_joint": 1.7353127002716064
208
+ },
209
+ "coverage": {
210
+ "hard_limit_source": {
211
+ "available": 50,
212
+ "unavailable": 0,
213
+ "unknown": 0
214
+ },
215
+ "joint_role_manifest": {
216
+ "available": 50,
217
+ "unavailable": 0,
218
+ "unknown": 0
219
+ }
220
+ },
221
+ "hard_limit_sources": {
222
+ "runtime.joint_pos_limits": 50
223
+ },
224
+ "soft_limit_sources": {
225
+ "runtime.soft_joint_pos_limits": 50
226
+ },
227
+ "unknown_runtime_joint_names": [],
228
+ "baseline_checks": {
229
+ "post_home": {
230
+ "checked": 50,
231
+ "hard_violation_episodes": 0
232
+ },
233
+ "post_reset": {
234
+ "checked": 50,
235
+ "hard_violation_episodes": 0
236
+ }
237
+ }
238
+ }
239
+ },
240
+ "robot_motion": {
241
+ "joint_acceleration_rms": 61.98077688937915,
242
+ "joint_effort_rms": 53.2024909768772,
243
+ "joint_jerk_rms": 6359.384574997134,
244
+ "joint_velocity_rms": 1.2855119297202857
245
+ },
246
+ "grasp": {
247
+ "kinematic_grasp_stability_index": 0.9804019085200046,
248
+ "mean_kinematic_grasp_stability": 0.4696866536079558,
249
+ "per_object_best_kinematic_grasp_stability": {
250
+ "obj_043_phillips_screwdriver_1": 0.8006673857373618,
251
+ "obj_044_flat_screwdriver_2": 0.8302998130722569,
252
+ "obj_048_hammer_3": 0.6166130464017946
253
+ },
254
+ "grasp_gsi_diagnostics": {
255
+ "mean_anti_slip_score": 0.7032406001489937,
256
+ "mean_duration_score": 0.481609804917618,
257
+ "mean_hold_score": 0.4177338606317101,
258
+ "mean_kinematic_stability_score": 0.15332900057221174,
259
+ "mean_legacy_gsi": 0.49030296146831476,
260
+ "mean_lift_score": 0.5486329427846335,
261
+ "mean_motion_stability_score": 0.40477927866503005
262
+ }
263
+ },
264
+ "tool": {
265
+ "tool_selection_accuracy": 0.02,
266
+ "tool_switch_success_rate": 0.006802721088435374,
267
+ "tool_switch_total": 136,
268
+ "tool_switch_successful": 1
269
+ },
270
+ "runtime": {
271
+ "avg_steps": 2976.5,
272
+ "error_count": 0
273
+ }
274
+ }
275
+ }
phoenix-mwa/per_task_eval/12_screwdriver_box_and_hammer/Full/per_episode.jsonl ADDED
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