Embodied Olympics - Match: badminton and soccer videos from agents' wins

masters/roboolympics-match/badminton_match_i04/meta.json

@@ -2,50 +2,85 @@
  "suite": "roboolympics-match",
  "task": "badminton_match_i04",
  "title": "Badminton match, Franka arm (instance 4)",
- "source": "scene-orbit",
- "shows": "oracle-attempt (lost): the task's reference solution: it loses 3:11 to the built-in level-5 opponent",
- "why_no_video": "No evaluated agent has won this task (best: GPT-6 Astra 8:11), and the task's reference solution does not win it either. As for the roboolympics-fun suite's unsolved tasks, this video is that reference solution's match replayed exactly (not a solved run), showing its best moment: the reference solution loses 3:11 to the built-in level-5 opponent.",
- "success_check": false,
- "success_check_how": "the match's own result at the end of the replay (a loss), equal to the recording",
- "oracle_recording": "played by the task's reference player with the task's own simulator code and configuration (seed, level, action level); recorded in-process (no network, no wall clock), the same player the task's oracle runs over its HTTP interface",
- "renderer": "Blender 4.2.23 LTS Cycles path tracing (GPU OptiX), adaptive sampling (threshold 0.02, up to 128 spp), OpenImageDenoise; kinematic playback of the recorded simulation poses (no physics in Blender; the match's own geometry and colours, full-detail robot maker meshes on the same link frames); daylight: a sun lamp (2 degree disc) and a Nishita sky (no sun disc), a plain ground plane in the scene's ground colour; AgX view transform, Medium High Contrast look; motion blur 180 degrees; a tracking camera (fixed elevation, per-frame fit of the robot(s) and the ball, smoothed in time) with a slow eased 10-degree orbit, one continuous shot (the roboolympics-fun suite's look)",
+ "task_dir": "embodied-olympics-match-badminton-match-i04-standard",
+ "source": "agent-success:codex-gpt6_astra-high-embodied-olympics-match-badminton-match-i04-standard/embodied-olympics-match-badminto__rw5F3Wv",
+ "success_check": true,
+ "success_check_how": "standard-mode trial, graded by its live match: re-rendered only because the replay is bit-exact. The recorded episode (episode.jsonl) was replayed with the sport's own core replay (core.episode.replay, the replay the spectator video and the privileged verifier run) in the task's own simulator image (its sim sidecar); the final state hash (396b9fc2036a8c28a57a2622fa068629f56210d96af855036115d26008a2bb77), the score, the winner and the step count equal the live match's (final.json), and the verdict is a win (a counted success, reward 1)",
+ "agent": "GPT-6 Astra (Codex, high)",
+ "run": "codex-gpt6_astra-high",
+ "mode": "standard",
+ "trial": "codex-gpt6_astra-high-embodied-olympics-match-badminton-match-i04-standard/embodied-olympics-match-badminto__rw5F3Wv",
+ "result": "Astra wins 11:4 against the built-in level-5 opponent",
+ "trial_choice": "a counted success in the task's standard mode (graded by its live match); re-rendered after the run because the replay is bit-exact (state hash, score and step count equal the live match's)",
+ "renderer": "Blender 4.5.3 LTS Cycles path tracing (GPU OptiX), adaptive sampling (threshold 0.01, 64-128 spp), OpenImageDenoise with albedo + normal passes; kinematic playback of the exact replayed simulation poses (no physics in Blender; the match's spectator scene (the sport's presentation scene: MuJoCo Menagerie's full Franka Panda meshes on the same link frames, same kinematics; the scripted opponent as the replay video's figure and racket)); daylight: a sun lamp (2 degree disc) and a Nishita sky (no sun disc), a plain ground plane; AgX view transform, Medium High Contrast look; fixed 3/4 camera fitted to the arm and the opponent over the clip, with a slow eased 10-degree orbit, one continuous shot; native 2560x1440",
  "rendering": "path-tracing",
+ "media_standard": "v2 (2026-10-16)",
  "width": 2560,
  "height": 1440,
  "fps": 30,
- "frames": 593,
- "seconds": 19.77,
+ "frames": 671,
+ "seconds": 22.37,
  "speed": 1.0,
- "clip": "the task's reference solution wins its longest rally (17.6 s, 2:4) against the built-in level-5 opponent; it loses the match 3:11; the opponent arm is drawn for display only",
- "camera": {
-  "mode": "fun-track",
-  "az_deg": -160,
-  "el_deg": 22.0,
-  "fovy_deg": 34,
-  "fill": 0.85,
-  "orbit_deg": 10,
-  "distance_m": [
-   7.904,
-   9.654
+ "clip": "GPT-6 Astra's Franka Panda (on an x-y gantry, near court) against the built-in level-5 opponent, the end of the match: from 9:4, two winners that land out of the opponent's reach, 10:4 and 11:4",
+ "clip_steps": {
+  "k0": 12743,
+  "k1": 14779,
+  "sim_s": 20.36,
+  "control_hz": 100.0,
+  "score_before": [
+   9,
+   4
   ]
  },
+ "camera": {
+  "mode": "fixed",
+  "frames_on": "robots,table",
+  "az_deg": -150.0,
+  "el_deg": 18.0,
+  "fovy_deg": 34.0,
+  "fill": 0.72,
+  "target": [
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+   -0.7586,
+   1.0694
+  ],
+  "distance_m": 6.3622,
+  "orbit_deg": 10.0
+ },
  "revision": "badminton-wallclock-12+duel-14+core-0.2",
+ "replay": {
+  "final_state_sha": "396b9fc2036a8c28a57a2622fa068629f56210d96af855036115d26008a2bb77",
+  "expected_from": "final.json (the live match)",
+  "expected_state_sha": "396b9fc2036a8c28a57a2622fa068629f56210d96af855036115d26008a2bb77",
+  "scores": {
+   "A": 11,
+   "opponent": 4
+  },
+  "winner": "A",
+  "steps": 14779,
+  "checks": {
+   "state_sha": true,
+   "winner": true,
+   "scores": true,
+   "k": true
+  },
+  "scene": "spectator (donor plugin)",
+  "episode_sha256": "29bb266054d7c7a945d503237a11bcd374caa79b07a68a9c64f9bd1aeb68c9d7",
+  "mujoco": "3.3.7"
+ },
  "holds": {
   "start_s": 0.5,
   "end_s": 1.5,
-  "note": "first/last frame held, no extra simulation"
+  "note": "first / last frame held, no extra simulation"
  },
  "visual_changes": [
-  "daylight sky and a plain ground plane in the scene's ground colour (drawn-only)",
-  "the shuttle drawn as a real feather shuttlecock at the match shuttle's position, cork forward along its recorded velocity (the simulation uses a point-mass shuttle)",
-  "the racket drawn as a real badminton racket on the match racket's frame",
-  "an opponent arm (the same arm and racket as the player's, mirrored on the far side) drawn for display only: posed by kinematics (inverse kinematics to each recorded return of the scripted opponent, swing and ready poses between them); the ball path is the recording's; in the task the scripted opponent has no body"
- ],
- "notes": [
-  "opponent arm drawn for display only; in the task the scripted opponent has no body"
+  "daylight sky and a plain ground plane instead of the venue's floor (drawn only)",
+  "the scripted opponent has no simulated body; it is drawn as the replay video draws it (a figure and a racket that follow the opponent's position and stroke)",
+  "this task's standard variant has no spectator scene of its own; the identical badminton simulator's spectator scene and state (the same core and sim files, from the low-level-control variant) draw it; the replay itself runs this variant's own simulator"
  ],
- "poster": "plan frame 513: the key moment of the clip",
+ "poster": "last frame of the clip (just after the clip's last point)",
  "encode": "libx264 preset slow CRF 16, yuv420p, bt709, 30 fps constant, +faststart, no audio, no text or overlays",
- "created": "2026-10-19",
+ "seconds_per_frame": 2.12,
+ "created": "2026-11-03",
  "contributor": "EAO team (Chi Gui), Embodied Agent Olympics"
 }

masters/roboolympics-match/badminton_match_i04/video.mp4

@@ -1,3 +1,3 @@
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+size 9023873

masters/roboolympics-match/badminton_matchlow_i01/meta.json

@@ -2,50 +2,84 @@
  "suite": "roboolympics-match",
  "task": "badminton_matchlow_i01",
  "title": "Badminton match, low-level control (instance 1)",
- "source": "scene-orbit",
- "shows": "oracle-attempt (lost): the task's reference solution: it (its act skill in the loop) loses 8:11 to the built-in level-2 opponent",
- "why_no_video": "No evaluated agent has won this task (best: GPT-6 Astra 2:11), and the task's reference solution does not win it either. As for the roboolympics-fun suite's unsolved tasks, this video is that reference solution's match replayed exactly (not a solved run), showing its best moment: the reference solution (its act skill in the loop) loses 8:11 to the built-in level-2 opponent.",
- "success_check": false,
- "success_check_how": "the match's own result at the end of the replay (a loss), equal to the recording",
- "oracle_recording": "played by the task's reference player with the task's own simulator code and configuration (seed, level, action level); recorded in-process (no network, no wall clock), the same player the task's oracle runs over its HTTP interface",
- "renderer": "Blender 4.2.23 LTS Cycles path tracing (GPU OptiX), adaptive sampling (threshold 0.02, up to 128 spp), OpenImageDenoise; kinematic playback of the recorded simulation poses (no physics in Blender; the match's own geometry and colours, full-detail robot maker meshes on the same link frames); daylight: a sun lamp (2 degree disc) and a Nishita sky (no sun disc), a plain ground plane in the scene's ground colour; AgX view transform, Medium High Contrast look; motion blur 180 degrees; a tracking camera (fixed elevation, per-frame fit of the robot(s) and the ball, smoothed in time) with a slow eased 10-degree orbit, one continuous shot (the roboolympics-fun suite's look)",
+ "task_dir": "embodied-olympics-match-badminton-matchlow-i01-standard",
+ "source": "agent-success:codex-gpt6_astra-high-embodied-olympics-match-badminton-matchlow-i01-standard/embodied-olympics-match-badminto__FZwzrBH",
+ "success_check": true,
+ "success_check_how": "standard-mode trial, graded by its live match: re-rendered only because the replay is bit-exact. The recorded episode (episode.jsonl) was replayed with the sport's own core replay (core.episode.replay, the replay the spectator video and the privileged verifier run) in the task's own simulator image (its sim sidecar); the final state hash (1cefe03abbb2c3b1e0393ff805aa1b0ce62e1830451e1355f2a98f797dbfe13a), the score, the winner and the step count equal the live match's (final.json), and the verdict is a win (a counted success, reward 1)",
+ "agent": "GPT-6 Astra (Codex, high)",
+ "run": "codex-gpt6_astra-high",
+ "mode": "standard",
+ "trial": "codex-gpt6_astra-high-embodied-olympics-match-badminton-matchlow-i01-standard/embodied-olympics-match-badminto__FZwzrBH",
+ "result": "Astra wins 11:1 against the built-in level-2 opponent",
+ "trial_choice": "a counted success in the task's standard mode (graded by its live match); re-rendered after the run because the replay is bit-exact (state hash, score and step count equal the live match's)",
+ "renderer": "Blender 4.5.3 LTS Cycles path tracing (GPU OptiX), adaptive sampling (threshold 0.01, 64-128 spp), OpenImageDenoise with albedo + normal passes; kinematic playback of the exact replayed simulation poses (no physics in Blender; the match's spectator scene (the sport's presentation scene: MuJoCo Menagerie's full Franka Panda meshes on the same link frames, same kinematics; the scripted opponent as the replay video's figure and racket)); daylight: a sun lamp (2 degree disc) and a Nishita sky (no sun disc), a plain ground plane; AgX view transform, Medium High Contrast look; fixed 3/4 camera fitted to the arm and the opponent over the clip, with a slow eased 10-degree orbit, one continuous shot; native 2560x1440",
  "rendering": "path-tracing",
+ "media_standard": "v2 (2026-10-16)",
  "width": 2560,
  "height": 1440,
  "fps": 30,
- "frames": 584,
- "seconds": 19.47,
+ "frames": 614,
+ "seconds": 20.47,
  "speed": 1.0,
- "clip": "the task's low-level reference solution (its own act skill in the loop) wins a 22 s rally (3:2) against the built-in level-2 opponent; it loses the match 8:11; the opponent arm is drawn for display only",
- "camera": {
-  "mode": "fun-track",
-  "az_deg": -160,
-  "el_deg": 22.0,
-  "fovy_deg": 34,
-  "fill": 0.85,
-  "orbit_deg": 10,
-  "distance_m": [
-   8.492,
-   10.669
+ "clip": "GPT-6 Astra's low-level control of the Franka Panda (on an x-y gantry, near court) against the built-in level-2 opponent, the end of the match: from 8:1, three winners that land out of the opponent's reach, 9:1, 10:1 and 11:1",
+ "clip_steps": {
+  "k0": 5274,
+  "k1": 7119,
+  "sim_s": 18.45,
+  "control_hz": 100.0,
+  "score_before": [
+   8,
+   1
   ]
  },
+ "camera": {
+  "mode": "fixed",
+  "frames_on": "robots,table",
+  "az_deg": -150.0,
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+  ],
+  "distance_m": 6.3527,
+  "orbit_deg": 10.0
+ },
  "revision": "badminton-wallclock-12+duel-14+core-0.2",
+ "replay": {
+  "final_state_sha": "1cefe03abbb2c3b1e0393ff805aa1b0ce62e1830451e1355f2a98f797dbfe13a",
+  "expected_from": "final.json (the live match)",
+  "expected_state_sha": "1cefe03abbb2c3b1e0393ff805aa1b0ce62e1830451e1355f2a98f797dbfe13a",
+  "scores": {
+   "A": 11,
+   "opponent": 1
+  },
+  "winner": "A",
+  "steps": 7119,
+  "checks": {
+   "state_sha": true,
+   "winner": true,
+   "scores": true,
+   "k": true
+  },
+  "scene": "spectator",
+  "episode_sha256": "13b094ab8bd5dc69ebe4296ec34f11d618ccfee27da4b7cbff3e1bd1ee2cfe39",
+  "mujoco": "3.3.7"
+ },
  "holds": {
   "start_s": 0.5,
   "end_s": 1.5,
-  "note": "first/last frame held, no extra simulation"
+  "note": "first / last frame held, no extra simulation"
  },
  "visual_changes": [
-  "daylight sky and a plain ground plane in the scene's ground colour (drawn-only)",
-  "the shuttle drawn as a real feather shuttlecock at the match shuttle's position, cork forward along its recorded velocity (the simulation uses a point-mass shuttle)",
-  "the racket drawn as a real badminton racket on the match racket's frame",
-  "an opponent arm (the same arm and racket as the player's, mirrored on the far side) drawn for display only: posed by kinematics (inverse kinematics to each recorded return of the scripted opponent, swing and ready poses between them); the ball path is the recording's; in the task the scripted opponent has no body"
- ],
- "notes": [
-  "opponent arm drawn for display only; in the task the scripted opponent has no body"
+  "daylight sky and a plain ground plane instead of the venue's floor (drawn only)",
+  "the scripted opponent has no simulated body; it is drawn as the replay video draws it (a figure and a racket that follow the opponent's position and stroke)"
  ],
- "poster": "plan frame 507: the key moment of the clip",
+ "poster": "last frame of the clip (just after the clip's last point)",
  "encode": "libx264 preset slow CRF 16, yuv420p, bt709, 30 fps constant, +faststart, no audio, no text or overlays",
- "created": "2026-10-19",
+ "seconds_per_frame": 2.04,
+ "created": "2026-11-03",
  "contributor": "EAO team (Chi Gui), Embodied Agent Olympics"
 }

masters/roboolympics-match/badminton_matchlow_i01/video.mp4

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masters/roboolympics-match/soccer_jointcpu_i01/meta.json

@@ -2,46 +2,83 @@
  "suite": "roboolympics-match",
  "task": "soccer_jointcpu_i01",
  "title": "Humanoid soccer 2 v 2, joint-level control (CPU tier)",
- "source": "scene-orbit",
- "shows": "oracle-attempt (lost): the task's reference solution: it loses 0:10 to the built-in level-5 team (mercy rule at 366.8 s)",
- "why_no_video": "No evaluated agent has won this task (best: every evaluated agent lost 0:10 or scored none), and the task's reference solution does not win it either. As for the roboolympics-fun suite's unsolved tasks, this video is that reference solution's match replayed exactly (not a solved run), showing its best moment: the reference solution loses 0:10 to the built-in level-5 team (mercy rule at 366.8 s).",
- "success_check": false,
- "success_check_how": "the match's own result at the end of the replay (a loss), equal to the recording",
- "oracle_recording": "played by the task's reference player with the task's own simulator code and configuration (seed, level, action level); an oracle run of the task in its evaluation harness",
- "renderer": "Blender 4.2.23 LTS Cycles path tracing (GPU OptiX), adaptive sampling (threshold 0.02, up to 128 spp), OpenImageDenoise; kinematic playback of the recorded simulation poses (no physics in Blender; the match's own geometry and colours, full-detail robot maker meshes on the same link frames); daylight: a sun lamp (2 degree disc) and a Nishita sky (no sun disc), a plain ground plane in the scene's ground colour; AgX view transform, Medium High Contrast look; motion blur 180 degrees; a tracking camera (fixed elevation, per-frame fit of the robot(s) and the ball, smoothed in time) with a slow eased 10-degree orbit, one continuous shot (the roboolympics-fun suite's look)",
+ "task_dir": "embodied-olympics-match-soccer-jointcpu-i01-privileged",
+ "source": "agent-success:codex-gpt6_astra-high-embodied-olympics-match-soccer-jointcpu-i01-privileged/embodied-olympics-match-soccer-j__DyVHzS8",
+ "success_check": true,
+ "success_check_how": "privileged trial: the verifier played the agent's program in a fresh match and recorded the episode; that episode was replayed with the sport's own core replay (core.episode.replay, the verifier's fresh-process replay check) in the task's verifier simulator; the final state hash (a7dcada2335fae55f53ddb754215c9f811fa91717b196ee54e360054ac2a0f87), the score, the winner and the step count equal the verifier's replay check, and the verdict is a win (a counted success, reward 1)",
+ "agent": "GPT-6 Astra (Codex, high)",
+ "run": "codex-gpt6_astra-high",
+ "mode": "privileged",
+ "trial": "codex-gpt6_astra-high-embodied-olympics-match-soccer-jointcpu-i01-privileged/embodied-olympics-match-soccer-j__DyVHzS8",
+ "result": "Astra's program wins 10:8 against the learned joint-level team (level 5)",
+ "trial_choice": "no agent has won this task in standard or standard-realtime mode; GPT-6 Astra's privileged success (its program, played by the verifier in a fresh match) is shown",
+ "renderer": "Blender 4.5.3 LTS Cycles path tracing (GPU OptiX), adaptive sampling (threshold 0.01, 64-128 spp), OpenImageDenoise with albedo + normal passes; kinematic playback of the exact replayed simulation poses (no physics in Blender; the match's own geometry and colours (Booster T1 humanoids, blue = the agent's team, red = the opponent)); daylight: a sun lamp (2 degree disc) and a Nishita sky (no sun disc), a plain ground plane; AgX view transform, Medium High Contrast look; fixed 3/4 camera on the whole pitch, with a slow eased 10-degree orbit, one continuous shot; native 2560x1440",
  "rendering": "path-tracing",
+ "media_standard": "v2 (2026-10-16)",
  "width": 2560,
  "height": 1440,
  "fps": 30,
- "frames": 379,
- "seconds": 12.63,
+ "frames": 592,
+ "seconds": 19.73,
  "speed": 1.0,
- "clip": "the task's oracle (reference joint-level team, blue) vs the built-in level-5 RL team (red), match time 26.9-37.5 s: the oracle's robots get back up and contest the ball near the centre; the oracle lost 0:10, this is its best stretch (no oracle shot in the match)",
+ "clip": "GPT-6 Astra's joint-level program on the two blue Booster T1 humanoids against the learned joint-level team (red), second half, from 6:3: Astra's A2 scores (7:3), and after the restart Astra's A1 scores again (8:3); Astra won 10:8",
+ "clip_steps": {
+  "k0": 16350,
+  "k1": 17236,
+  "sim_s": 17.72,
+  "control_hz": 50.0,
+  "score_before": {
+   "A": 6,
+   "B": 3
+  }
+ },
  "camera": {
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-  "el_deg": 22.0,
-  "fovy_deg": 34,
-  "fill": 0.8,
-  "orbit_deg": 10,
-  "distance_m": [
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-   13.151
-  ]
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+  "distance_m": 13.8,
+  "orbit_deg": 10.0
+ },
+ "revision": "soccer-2v2-11+core-0.2",
+ "replay": {
+  "final_state_sha": "a7dcada2335fae55f53ddb754215c9f811fa91717b196ee54e360054ac2a0f87",
+  "expected_from": "replay_check.json (the verifier's replay)",
+  "expected_state_sha": "a7dcada2335fae55f53ddb754215c9f811fa91717b196ee54e360054ac2a0f87",
+  "scores": {
+   "A": 10,
+   "opponent": 8
+  },
+  "winner": "A",
+  "steps": 30025,
+  "checks": {
+   "state_sha": true,
+   "winner": true,
+   "scores": true,
+   "k": true
+  },
+  "scene": "match",
+  "episode_sha256": "de224b95b58732bdf1d1ffebbe592011e508b11dffe7bc52a35b7d72db4d141b",
+  "mujoco": "3.3.7"
  },
- "revision": "soccer-2v2-11+core-0.2 (source_sha header 95d52171)",
  "holds": {
   "start_s": 0.5,
   "end_s": 1.5,
-  "note": "first/last frame held, no extra simulation"
+  "note": "first / last frame held, no extra simulation"
  },
  "visual_changes": [
-  "daylight sky and a plain ground plane in the scene's ground colour (drawn-only)",
-  "the ball drawn white (orange in the match)",
-  "display cord nets in place of the match's box goal nets"
+  "daylight sky; the pitch's checker texture drawn as its plain colour (drawn only)"
  ],
- "poster": "plan frame 54: the key moment of the clip",
+ "poster": "last frame of the clip (just after the clip's last point)",
  "encode": "libx264 preset slow CRF 16, yuv420p, bt709, 30 fps constant, +faststart, no audio, no text or overlays",
- "created": "2026-10-19",
+ "seconds_per_frame": 2.35,
+ "created": "2026-11-03",
  "contributor": "EAO team (Chi Gui), Embodied Agent Olympics"
 }

masters/roboolympics-match/soccer_jointcpu_i01/video.mp4

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+size 8642151

masters/roboolympics-match/soccerssl_match_i01/meta.json

@@ -2,44 +2,84 @@
  "suite": "roboolympics-match",
  "task": "soccerssl_match_i01",
  "title": "Wheeled robot soccer 5 v 5 (instance 1)",
- "source": "scene-orbit",
- "shows": "oracle-attempt (lost): the task's reference solution, the reference team loses 2:10 to the built-in level-4 team",
- "why_no_video": "No evaluated agent has won this task (best: every evaluated agent lost), and the task's reference solution does not win it either. As for the roboolympics-fun suite's unsolved tasks, this video is that reference solution's match replayed exactly (not a solved run), showing its best moment: the reference team loses 2:10 to the built-in level-4 team.",
- "success_check": false,
- "success_check_how": "the match's own result at the end of the replay (a loss), equal to the recording",
- "oracle_recording": "played by the task's reference player with the task's own simulator code and configuration (seed, level, action level); recorded in-process (no network, no wall clock), the same player the task's oracle runs over its HTTP interface",
- "renderer": "Blender 4.2.23 LTS Cycles path tracing (GPU OptiX), adaptive sampling (threshold 0.02, up to 128 spp), OpenImageDenoise; kinematic playback of the recorded simulation poses (no physics in Blender; the match's own geometry and colours, full-detail robot maker meshes on the same link frames); daylight: a sun lamp (2 degree disc) and a Nishita sky (no sun disc), a plain ground plane in the scene's ground colour; AgX view transform, Medium High Contrast look; motion blur 180 degrees; a tracking camera (fixed elevation, per-frame fit of the robot(s) and the ball, smoothed in time) with a slow eased 10-degree orbit, one continuous shot (the roboolympics-fun suite's look)",
+ "task_dir": "embodied-olympics-match-soccerssl-match-i01-privileged",
+ "source": "agent-success:claude_code-opus_5_5-high-embodied-olympics-match-soccerssl-match-i01-privileged/embodied-olympics-match-soccerss__VY5EBaV",
+ "success_check": true,
+ "success_check_how": "privileged trial: the verifier played the agent's program in a fresh match and recorded the episode; that episode was replayed with the sport's own core replay (core.episode.replay, the verifier's fresh-process replay check) in the task's verifier simulator; the final state hash (f638222f1a352ba47810632771b142651ab2f0eb85d724f5bd40de1615124488), the score, the winner and the step count equal the verifier's replay check, and the verdict is a win (a counted success, reward 1)",
+ "agent": "Claude Opus 5.5 (Claude Code, high)",
+ "run": "claude_code-opus_5_5-high",
+ "mode": "privileged",
+ "trial": "claude_code-opus_5_5-high-embodied-olympics-match-soccerssl-match-i01-privileged/embodied-olympics-match-soccerss__VY5EBaV",
+ "result": "Opus's program wins on penalties: 0:0 after full time, shootout 3:0, against the level-4 RL-trained team",
+ "trial_choice": "the only success on this task in any mode (Claude Opus 5.5, privileged): the program the agent submitted, played by the verifier in a fresh match and rendered after the run",
+ "renderer": "Blender 4.5.3 LTS Cycles path tracing (GPU OptiX), adaptive sampling (threshold 0.01, 64-128 spp), OpenImageDenoise with albedo + normal passes; kinematic playback of the exact replayed simulation poses (no physics in Blender; the match's own geometry and colours (RoboCup Small Size League robots, blue = the agent's team, yellow = the opponent)); daylight: a sun lamp (2 degree disc) and a Nishita sky (no sun disc), a plain ground plane; AgX view transform, Medium High Contrast look; side camera that pans with the ball (1 s moving average of its position along the pitch), with a slow eased 10-degree orbit, one continuous shot; native 2560x1440",
  "rendering": "path-tracing",
+ "media_standard": "v2 (2026-10-16)",
  "width": 2560,
  "height": 1440,
  "fps": 30,
- "frames": 316,
- "seconds": 10.53,
+ "frames": 324,
+ "seconds": 10.8,
  "speed": 1.0,
- "clip": "The task's reference solution (oracle, blue) against the built-in level-4 team: a corner kick and blue3's goal for 2:1, the oracle's best moment in a match it loses 2:10",
+ "clip": "the shootout after a goalless match: Claude Opus 5.5's blue robot dribbles the ball from the centre and scores its third penalty past the yellow keeper (3:0 in the shootout; the clip ends as the ball crosses the line, the step before the shootout resets the robots); yellow's next kick is saved and the match ends 3:0",
+ "clip_steps": {
+  "k0": 94500,
+  "k1": 95377,
+  "sim_s": 8.77,
+  "control_hz": 100.0,
+  "score_before": null
+ },
  "camera": {
-  "mode": "fun-track",
-  "az_deg": -90,
-  "el_deg": 50.0,
-  "fovy_deg": 34,
-  "fill": 0.85,
-  "orbit_deg": 10,
-  "distance_m": [
-   3.106,
-   4.163
-  ]
+  "mode": "panning",
+  "follows": "the ball's x (1 s moving average, clamped to [-3.3, 1] m)",
+  "az_deg": -90.0,
+  "el_deg": 26.0,
+  "fovy_deg": 34.0,
+  "distance_m": 4.3,
+  "target_start": [
+   0.847,
+   0.0,
+   0.0
+  ],
+  "target_end": [
+   -3.3,
+   0.0,
+   0.0
+  ],
+  "orbit_deg": 10.0
+ },
+ "revision": "soccer_ssl-1",
+ "replay": {
+  "final_state_sha": "f638222f1a352ba47810632771b142651ab2f0eb85d724f5bd40de1615124488",
+  "expected_from": "replay_check.json (the verifier's replay)",
+  "expected_state_sha": "f638222f1a352ba47810632771b142651ab2f0eb85d724f5bd40de1615124488",
+  "scores": {
+   "A": 0,
+   "opponent": 0
+  },
+  "winner": "A",
+  "steps": 96199,
+  "checks": {
+   "state_sha": true,
+   "winner": true,
+   "scores": true,
+   "k": true
+  },
+  "scene": "match",
+  "episode_sha256": "ea8c62b79601e1dfb4b1fc2cad4691f61e716d26a896684ab2930f0a4fcc3b59",
+  "mujoco": "3.3.7"
  },
- "revision": "soccer_ssl-1 (world soccer_ssl-world-1)",
  "holds": {
   "start_s": 0.5,
   "end_s": 1.5,
-  "note": "first/last frame held, no extra simulation"
+  "note": "first / last frame held, no extra simulation"
  },
  "visual_changes": [
-  "daylight sky and a plain ground plane in the scene's ground colour (drawn-only)"
+  "daylight sky; the ground plane in the scene's carpet green (drawn only)"
  ],
- "poster": "plan frame 224: the key moment of the clip",
+ "poster": "last frame of the clip (just after the clip's last point)",
  "encode": "libx264 preset slow CRF 16, yuv420p, bt709, 30 fps constant, +faststart, no audio, no text or overlays",
- "created": "2026-10-19",
+ "seconds_per_frame": 2.48,
+ "created": "2026-11-03",
  "contributor": "EAO team (Chi Gui), Embodied Agent Olympics"
 }

masters/roboolympics-match/soccerssl_match_i01/video.mp4

@@ -1,3 +1,3 @@
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-size 6628352
+oid sha256:9e2a51cb289993d879d757c77cf1767618b649ea953426f318305d1e7ff38236
+size 4737266