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482026-09-23T15-52-23
482026-09-23T15-52-23
482026-09-23T15-52-23
492026-09-23T16-04-57
492026-09-23T16-04-57
492026-09-23T16-04-57
502026-09-23T16-12-05
502026-09-23T16-12-05
502026-09-23T16-12-05
42026-09-07T15-16-45
42026-09-07T15-16-45
42026-09-07T15-16-45
52026-09-07T15-17-40
52026-09-07T15-17-40
52026-09-07T15-17-40
62026-09-07T15-18-44
62026-09-07T15-18-44
62026-09-07T15-18-44
72026-09-07T15-19-17
72026-09-07T15-19-17
72026-09-07T15-19-17
32026-09-07T15-14-26
32026-09-07T15-14-26
32026-09-07T15-14-26
82026-09-07T15-20-03
82026-09-07T15-20-03
82026-09-07T15-20-03
92026-09-07T15-21-37
92026-09-07T15-21-37
92026-09-07T15-21-37
102026-09-07T15-23-02
102026-09-07T15-23-02
102026-09-07T15-23-02
112026-09-07T15-27-06
112026-09-07T15-27-06
112026-09-07T15-27-06
122026-09-07T15-29-08
122026-09-07T15-29-08
122026-09-07T15-29-08
152026-09-07T16-46-56
152026-09-07T16-46-56
152026-09-07T16-46-56
162026-09-07T16-47-39
162026-09-07T16-47-39
162026-09-07T16-47-39
172026-09-07T16-48-27
172026-09-07T16-48-27
172026-09-07T16-48-27
242026-09-09T10-07-45
242026-09-09T10-07-45
242026-09-09T10-07-45
252026-09-09T10-08-48
252026-09-09T10-08-48
252026-09-09T10-08-48
262026-09-09T10-09-58
262026-09-09T10-09-58
262026-09-09T10-09-58
272026-09-09T10-11-49
272026-09-09T10-11-49
272026-09-09T10-11-49
282026-09-09T10-13-59
282026-09-09T10-13-59
282026-09-09T10-13-59
292026-09-09T10-15-20
292026-09-09T10-15-20
292026-09-09T10-15-20
302026-09-09T10-17-57
302026-09-09T10-17-57
302026-09-09T10-17-57
312026-09-15T12-36-06
312026-09-15T12-36-06
312026-09-15T12-36-06
322026-09-15T12-38-35
322026-09-15T12-38-35
322026-09-15T12-38-35
332026-09-15T12-40-23
332026-09-15T12-40-23
332026-09-15T12-40-23
342026-09-15T12-42-10
342026-09-15T12-42-10
342026-09-15T12-42-10
352026-09-19T13-26-52
352026-09-19T13-26-52
352026-09-19T13-26-52
362026-09-19T13-30-04
362026-09-19T13-30-04
362026-09-19T13-30-04
512026-09-26T13-14-13
512026-09-26T13-14-13
512026-09-26T13-14-13
522026-09-26T13-16-00
522026-09-26T13-16-00
522026-09-26T13-16-00
532026-09-26T13-17-36
532026-09-26T13-17-36
532026-09-26T13-17-36
542026-09-26T13-25-59
542026-09-26T13-25-59
542026-09-26T13-25-59
552026-09-26T13-29-08
End of preview. Expand in Data Studio

PiPER_policy_evals

Real-robot policy rollouts on the PiPER bimanual cell (plate pick, hand-over, place), run from the operator stack's Policy panel at execution speed multipliers of 1x to 6x. One folder per policy, one sub-folder per run (start time, IST): the three camera clips (top, left-arm, right-arm; re-encoded from the recorded chunks with every frame at its capture time, so they play in real time; clip t = 0 is 1 s before the run start and frame_ts.json lists each frame's capture time per camera), telemetry.jsonl / telemetry.parquet (every BigQuery signal in the window, including the policy's own policy_command_positions / policy_gripper_command) and manifest.json.

manifest.json carries the run parameters (params.speed is the time-scaling multiplier, 1.0 = the checkpoint's training speed), the gripper command events, the hand-over times (right close β†’ left close β†’ right release, seconds after the start), the peak commanded and measured joint speeds per arm and the stop reason. index.json is the same table as below. Telemetry shows commands and joint feedback, not whether the plate physically transferred.

Runs: 105; hand-over sequences completed: 48. Fastest complete hand-over: pi05_R08I6_20k_asia_warm at speed β€” on 2026-09-26T15:36:55.246000+05:30, right release at 13.1 s.

start (IST) policy speed re-plan s length s R close L close R release complete R cmd/meas peak deg/s stop
01:54:55 v8_pi05_R08I6_20k β€” β€” 28.7 26.5 β€” β€” no 42.5 / 40.8 β€”
01:55:56 v8_pi05_R08I6_20k β€” β€” 52.3 21.2 34.9 36.2 yes 40.2 / 39.3 β€”
01:57:22 v8_pi05_R08I6_20k β€” β€” 64.4 22.9 41.7 44.4 yes 47.2 / 40.9 β€”
01:59:01 v8_pi05_R08I6_20k β€” β€” 47.0 β€” β€” β€” no 54.9 / 51.6 β€”
02:00:17 v8_pi05_R08I6_20k β€” β€” 47.8 26.1 β€” β€” no 48.1 / 42.9 β€”
02:01:23 v8_pi05_R08I6_20k β€” β€” 59.8 22.2 39.7 41.0 yes 47.2 / 40.2 β€”
02:02:55 v8_pi05_R08I6_20k β€” β€” 48.2 β€” β€” β€” no 54.3 / 47.0 β€”
02:04:15 v8_pi05_R08I6_20k β€” β€” 37.4 β€” β€” β€” no 56.2 / 50.7 β€”
02:05:28 v8_pi05_R08I6_20k β€” β€” 32.2 β€” β€” β€” no 46.7 / 47.1 β€”
02:06:36 v8_pi05_R08I6_20k β€” β€” 33.2 β€” β€” β€” no 62.4 / 51.5 β€”
02:07:32 v8_pi05_R08I6_20k β€” β€” 44.6 β€” β€” β€” no 72.9 / 47.5 β€”
02:08:38 v8_pi05_R08I6_20k β€” β€” 32.0 β€” β€” β€” no 54.1 / 50.5 β€”
02:09:50 v8_pi05_R08I6_20k β€” β€” 36.9 β€” β€” β€” no 51.9 / 50.9 β€”
02:10:47 v8_pi05_R08I6_20k β€” β€” 41.4 37.7 β€” β€” no 53.7 / 50.0 β€”
02:12:00 v8_pi05_R08I6_20k β€” β€” 86.4 33.4 70.1 74.3 yes 92.1 / 47.5 β€”
02:13:59 v8_pi05_R08I6_20k β€” β€” 37.1 β€” β€” β€” no 52.0 / 43.7 β€”
02:14:54 v8_pi05_R08I6_20k β€” β€” 26.4 17.5 β€” β€” no 49.5 / 41.5 β€”
02:15:42 v8_pi05_R08I6_20k β€” β€” 31.3 19.3 β€” β€” no 57.8 / 47.0 β€”
02:16:36 v8_pi05_R08I6_20k β€” β€” 69.8 17.6 41.5 46.1 yes 50.4 / 45.0 β€”
02:18:27 v8_pi05_R08I6_20k β€” β€” 28.2 β€” β€” β€” no 49.5 / 51.1 β€”
02:21:31 v8_pi05_R08I6_20k β€” β€” 42.7 β€” β€” β€” no 48.7 / 46.5 β€”
02:23:53 v8_pi05_R08I6_20k β€” β€” 25.5 β€” β€” β€” no 45.3 / 42.2 β€”
02:24:57 v8_pi05_R08I6_20k β€” β€” 59.6 17.7 42.5 49.0 yes 53.9 / 41.5 β€”
18:24:18 v8_pi05_R08I6_20k β€” β€” 29.5 15.6 β€” β€” no 53.8 / 43.5 β€”
18:25:23 v8_pi05_R08I6_20k β€” β€” 77.3 21.8 43.3 46.5 yes 81.2 / 43.8 β€”
18:27:56 v8_pi05_R08I6_20k β€” β€” 69.7 19.5 43.0 44.4 yes 66.1 / 46.6 β€”
18:29:39 v8_pi05_R08I6_20k β€” β€” 41.2 37.6 β€” β€” no 61.6 / 48.3 β€”
18:30:45 v8_pi05_R08I6_20k β€” β€” 33.9 30.5 β€” β€” no 74.8 / 42.4 β€”
18:32:03 v8_pi05_R08I6_20k β€” β€” 34.2 26.7 β€” β€” no 69.4 / 44.9 β€”
18:33:09 v8_pi05_R08I6_20k β€” β€” 79.4 19.8 62.9 67.4 yes 60.2 / 43.1 β€”
18:35:11 v8_pi05_R08I6_20k β€” β€” 29.8 17.8 β€” β€” no 63.9 / 51.3 β€”
18:47:17 v8_pi05_R08I6_20k β€” β€” 71.2 25.9 43.9 46.3 yes 54.6 / 46.3 β€”
18:51:37 v8_pi05_R08I6_20k β€” β€” 62.2 22.3 39.9 41.1 yes 56.7 / 58.6 β€”
18:54:11 v8_pi05_R08I6_20k β€” β€” 41.1 β€” β€” β€” no 64.7 / 46.1 β€”
18:55:20 v8_pi05_R08I6_20k β€” β€” 63.0 19.6 49.1 53.7 yes 62.8 / 43.6 β€”
18:56:47 v8_pi05_R08I6_20k β€” β€” 40.4 30.8 β€” β€” no 50.6 / 46.7 β€”
15:50:57 abc_india_original_30k β€” β€” 37.6 22.3 β€” β€” no 49.5 / 30.1 β€”
15:52:23 abc_india_original_30k β€” β€” 88.7 39.0 68.4 71.7 yes 33.0 / 37.0 β€”
15:54:24 abc_india_original_30k β€” β€” 69.0 36.6 63.7 65.1 yes 30.6 / 33.1 β€”
15:56:36 abc_india_original_30k β€” β€” 42.5 29.4 β€” β€” no 51.2 / 28.4 β€”
16:02:06 abc_india_original_30k β€” β€” 35.5 21.1 β€” β€” no 31.9 / 24.5 β€”
16:04:57 abc_india_original_30k β€” β€” 81.6 34.8 66.3 67.5 yes 40.9 / 36.4 β€”
16:07:01 abc_india_original_30k β€” β€” 44.8 26.9 β€” β€” no 32.3 / 30.7 β€”
16:09:10 abc_india_original_30k β€” β€” 31.9 27.8 β€” β€” no 54.7 / 32.0 β€”
16:12:05 abc_india_original_30k β€” β€” 69.3 31.8 53.1 54.4 yes 45.7 / 36.7 β€”
16:13:45 abc_india_original_30k β€” β€” 32.6 29.0 β€” β€” no 29.2 / 21.3 β€”
16:17:07 abc_india_original_30k β€” β€” 30.3 22.4 β€” β€” no 42.1 / 35.5 β€”
16:18:10 abc_india_original_30k β€” β€” 36.4 30.8 β€” β€” no 23.6 / 24.1 β€”
16:19:33 abc_india_original_30k β€” β€” 38.1 30.6 β€” β€” no 57.5 / 27.6 β€”
16:21:23 abc_india_original_30k β€” β€” 34.5 24.3 β€” β€” no 48.5 / 32.3 β€”
13:14:13 pi05_R08I6_20k_asia_warm β€” β€” 51.4 16.0 36.6 38.2 yes 42.0 / 37.5 β€”
13:16:00 pi05_R08I6_20k_asia_warm β€” β€” 48.0 15.8 32.1 33.7 yes 64.8 / 37.9 β€”
13:17:36 pi05_R08I6_20k_asia_warm β€” β€” 47.0 13.8 34.9 36.5 yes 43.4 / 33.0 β€”
13:19:23 pi05_R08I6_20k_asia_warm β€” β€” 73.3 18.5 38.9 40.7 yes 36.7 / 34.3 β€”
13:21:19 pi05_R08I6_20k_asia_warm β€” β€” 30.9 β€” β€” β€” no 36.6 / 37.2 β€”
13:23:41 pi05_R08I6_20k_asia_warm β€” β€” 86.8 19.1 56.5 58.4 yes 33.0 / 31.3 β€”
13:25:59 pi05_R08I6_20k_asia_warm β€” β€” 66.2 14.1 28.4 29.5 yes 67.0 / 32.6 β€”
13:27:27 pi05_R08I6_20k_asia_warm β€” β€” 26.5 18.3 β€” β€” no 139.7 / 60.3 β€”
13:29:08 pi05_R08I6_20k_asia_warm β€” β€” 52.9 24.1 39.7 41.1 yes 51.4 / 42.4 β€”
13:30:31 pi05_R08I6_20k_asia_warm β€” β€” 57.8 14.9 38.7 40.4 yes 34.3 / 29.9 β€”
13:31:56 pi05_R08I6_20k_asia_warm β€” β€” 54.8 16.2 35.6 37.3 yes 43.8 / 32.0 β€”
13:36:22 pi05_R08I6_20k_asia_warm β€” β€” 51.8 12.8 30.5 32.3 yes 38.1 / 35.0 β€”
13:38:01 pi05_R08I6_20k_asia_warm β€” β€” 30.6 β€” β€” β€” no 37.1 / 28.7 β€”
13:39:01 pi05_R08I6_20k_asia_warm β€” β€” 48.6 β€” β€” β€” no 35.1 / 33.7 β€”
13:40:34 pi05_R08I6_20k_asia_warm β€” β€” 52.4 17.2 31.0 32.9 yes 70.9 / 28.8 β€”
15:11:24 pi05_R08I6_20k_asia_warm β€” β€” 48.7 15.2 28.6 30.8 yes 43.2 / 36.7 β€”
15:12:53 pi05_R08I6_20k_asia_warm β€” β€” 27.3 16.5 β€” β€” no 43.3 / 39.2 β€”
15:13:53 pi05_R08I6_20k_asia_warm β€” β€” 35.5 β€” β€” β€” no 58.3 / 48.9 β€”
15:15:03 pi05_R08I6_20k_asia_warm β€” β€” 44.6 15.0 27.2 30.9 yes 58.2 / 43.7 β€”
15:16:24 pi05_R08I6_20k_asia_warm β€” β€” 47.0 17.7 32.7 36.6 yes 41.7 / 45.6 β€”
15:18:03 pi05_R08I6_20k_asia_warm β€” β€” 23.0 β€” β€” β€” no 55.4 / 45.8 β€”
15:19:20 pi05_R08I6_20k_asia_warm β€” β€” 51.3 21.0 34.6 35.9 yes 67.9 / 45.5 β€”
15:21:43 pi05_R08I6_20k_asia_warm β€” β€” 28.7 9.2 17.9 19.1 yes 58.7 / 51.5 β€”
15:24:15 pi05_R08I6_20k_asia_warm β€” β€” 31.1 10.8 20.0 21.1 yes 53.2 / 45.2 β€”
15:27:14 pi05_R08I6_20k_asia_warm β€” β€” 30.4 7.8 20.9 22.0 yes 68.3 / 60.3 β€”
15:31:48 pi05_R08I6_20k_asia_warm β€” β€” 32.7 9.1 21.2 22.3 yes 40.7 / 39.4 β€”
15:32:49 pi05_R08I6_20k_asia_warm β€” β€” 21.5 8.9 16.6 21.0 yes 80.1 / 47.0 β€”
15:33:52 pi05_R08I6_20k_asia_warm β€” β€” 21.8 10.2 β€” β€” no 54.8 / 41.8 β€”
15:35:02 pi05_R08I6_20k_asia_warm β€” β€” 27.4 8.9 16.8 21.1 yes 56.5 / 40.5 β€”
15:36:55 pi05_R08I6_20k_asia_warm β€” β€” 23.3 6.2 12.2 13.1 yes 137.9 / 68.5 β€”
15:38:00 pi05_R08I6_20k_asia_warm β€” β€” 119.5 7.0 β€” β€” no 86.2 / 73.1 β€”
15:40:36 pi05_R08I6_20k_asia_warm β€” β€” 26.7 8.8 14.9 15.6 yes 116.6 / 61.7 β€”
15:42:06 pi05_R08I6_20k_asia_warm β€” β€” 19.9 8.2 β€” β€” no 95.5 / 67.6 β€”
15:43:06 pi05_R08I6_20k_asia_warm β€” β€” 23.0 10.5 18.3 20.5 yes 78.2 / 66.6 β€”
15:43:56 pi05_R08I6_20k_asia_warm β€” β€” 30.3 14.0 21.2 21.9 yes 102.4 / 62.9 β€”
15:45:22 pi05_R08I6_20k_asia_warm β€” β€” 10.9 6.2 β€” β€” no 76.1 / 56.8 β€”
16:51:44 pi05_R08I6_20k_asia_warm β€” β€” 18.9 7.6 β€” β€” no 59.0 / 58.5 β€”
16:53:37 pi05_R08I6_20k_asia_warm β€” β€” 16.2 6.5 13.4 14.7 yes 59.7 / 63.4 β€”
16:54:33 pi05_R08I6_20k_asia_warm β€” β€” 31.0 6.9 β€” β€” no 82.8 / 56.5 β€”
16:55:59 pi05_R08I6_20k_asia_warm β€” β€” 29.3 8.8 16.8 17.5 yes 223.3 / 61.2 β€”
16:57:06 pi05_R08I6_20k_asia_warm β€” β€” 26.6 8.4 15.3 16.0 yes 129.7 / 58.1 β€”
16:58:27 pi05_R08I6_20k_asia_warm β€” β€” 12.6 7.1 β€” β€” no 54.5 / 55.0 β€”
16:59:01 pi05_R08I6_20k_asia_warm β€” β€” 13.1 8.2 β€” β€” no 104.8 / 70.2 β€”
17:00:34 pi05_R08I6_20k_asia_warm β€” β€” 11.3 β€” β€” β€” no 102.4 / 51.8 β€”
17:01:39 pi05_R08I6_20k_asia_warm β€” β€” 21.9 9.7 17.4 21.9 yes 48.9 / 51.3 β€”
17:02:32 pi05_R08I6_20k_asia_warm β€” β€” 21.2 8.3 14.5 15.8 yes 77.2 / 58.1 β€”
17:03:29 pi05_R08I6_20k_asia_warm β€” β€” 10.7 6.9 β€” β€” no 53.9 / 63.9 β€”
17:04:19 pi05_R08I6_20k_asia_warm β€” β€” 15.5 13.1 β€” β€” no 74.2 / 78.3 β€”
17:05:03 pi05_R08I6_20k_asia_warm β€” β€” 19.3 7.4 β€” β€” no 73.7 / 53.8 β€”
17:05:46 pi05_R08I6_20k_asia_warm β€” β€” 14.1 11.6 β€” β€” no 58.2 / 53.3 β€”
17:06:31 pi05_R08I6_20k_asia_warm β€” β€” 20.3 7.8 16.6 17.4 yes 94.9 / 57.2 β€”
17:07:59 pi05_R08I6_20k_asia_warm β€” β€” 20.5 8.0 14.3 14.9 yes 59.3 / 58.2 β€”
17:08:47 pi05_R08I6_20k_asia_warm β€” β€” 10.3 β€” β€” β€” no 108.6 / 58.3 β€”
17:09:20 pi05_R08I6_20k_asia_warm β€” β€” 13.0 8.4 β€” β€” no 64.6 / 56.1 β€”
17:10:43 pi05_R08I6_20k_asia_warm β€” β€” 16.3 7.2 β€” β€” no 66.5 / 57.8 β€”

Built by episode_pipeline/export_policy_runs.py from BigQuery + GCS; repo PranayTest/piper-policy-evals.

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