EO Match: table tennis masters G1 CPU tier (GPT-6 Astra standard) + Franka i04 (GPT-6 Astra privileged), media v2

masters/roboolympics-match/tabletennis_match_i04/meta.json

@@ -2,48 +2,84 @@
  "suite": "roboolympics-match",
  "task": "tabletennis_match_i04",
  "title": "Table tennis match, Franka arm (instance 4)",
- "source": "scene-orbit",
- "shows": "oracle-attempt (lost): the task's reference solution: it loses 4:6 to the built-in level-4 opponent",
- "why_no_video": "No evaluated agent has won this task (best: every evaluated agent 0:5 or less), 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 4:6 to the built-in level-4 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-tabletennis-match-i04-privileged",
+ "source": "agent-success:codex-gpt6_astra-high-embodied-olympics-match-tabletennis-match-i04-privileged/embodied-olympics-match-tableten__JXtXocp",
+ "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 (f01540568819a215a614e1e8c973ea0261b13564d0b45397a46eb08ae626569a), 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-tabletennis-match-i04-privileged/embodied-olympics-match-tableten__JXtXocp",
+ "result": "Astra's program wins 5:1 against the built-in level-4 opponent",
+ "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 spectator scene (the sport's presentation scene: MuJoCo Menagerie's full Franka Panda meshes on the same link frames, same kinematics)); daylight: a sun lamp (2 degree disc) and a Nishita sky (no sun disc), a plain ground plane in light grey (the suite's Franka table tennis look); AgX view transform, Medium High Contrast look; fixed 3/4 camera fitted to the robots and the table 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": 397,
- "seconds": 13.23,
+ "frames": 540,
+ "seconds": 18.0,
  "speed": 1.0,
- "clip": "Reference solution (oracle) against the built-in level-4 opponent: a 7 s rally the oracle loses, then a point it wins (the oracle loses the match 4:6); the opponent arm (a Franka Panda like the player's) is drawn for display only, posed to meet each recorded return; the ball is re-placed for each serve",
+ "clip": "GPT-6 Astra's program (Franka Panda on an x-y rail) against the built-in level-4 opponent, from 2:0 to the end: 3:0 (a return too wide for the opponent's reach), 3:1 (Astra's return hits its own half), then two more returns too wide for the opponent, 4:1 and 5:1",
+ "clip_steps": {
+  "k0": 856,
+  "k1": 2453,
+  "sim_s": 15.97,
+  "control_hz": 100.0,
+  "score_before": [
+   2,
+   0
+  ]
+ },
  "camera": {
-  "mode": "fun-track",
-  "az_deg": -150,
+  "mode": "fixed",
+  "frames_on": "robots,table",
+  "az_deg": -150.0,
   "el_deg": 22.0,
-  "fovy_deg": 34,
-  "fill": 1.0,
-  "orbit_deg": 10,
-  "distance_m": [
-   6.319,
-   6.634
-  ]
+  "fovy_deg": 34.0,
+  "fill": 0.8,
+  "target": [
+   -0.443,
+   -0.5615,
+   -0.0941
+  ],
+  "distance_m": 3.6868,
+  "orbit_deg": 10.0
  },
  "revision": "wallclock-15+duel-wallclock-12+low-inloop-1+core-0.2",
+ "replay": {
+  "final_state_sha": "f01540568819a215a614e1e8c973ea0261b13564d0b45397a46eb08ae626569a",
+  "expected_from": "replay_check.json (the verifier's replay)",
+  "expected_state_sha": "f01540568819a215a614e1e8c973ea0261b13564d0b45397a46eb08ae626569a",
+  "scores": {
+   "A": 5,
+   "opponent": 1
+  },
+  "winner": "A",
+  "steps": 2453,
+  "checks": {
+   "state_sha": true,
+   "winner": true,
+   "scores": true,
+   "k": true
+  },
+  "scene": "presentation",
+  "episode_sha256": "550b688af475505e9ed6224b33be1f13db194c057de6ef733c6e2ea974944606",
+  "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)",
-  "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)",
+  "no opponent body is drawn: in the task the scripted opponent has no body (its returns come from its virtual paddle), so the ball comes back over the net on its own"
  ],
- "poster": "plan frame 289: 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": 3.29,
+ "created": "2026-11-03",
  "contributor": "EAO team (Chi Gui), Embodied Agent Olympics"
 }

masters/roboolympics-match/tabletennis_match_i04/video.mp4

@@ -1,3 +1,3 @@
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+size 6911446

masters/roboolympics-match/tabletennisg1_matchcpu_i01/meta.json

@@ -0,0 +1,83 @@
+{
+ "suite": "roboolympics-match",
+ "task": "tabletennisg1_matchcpu_i01",
+ "title": "Table tennis between two Unitree G1 humanoids (CPU tier)",
+ "task_dir": "embodied-olympics-match-tabletennisg1-matchcpu-i01-standard",
+ "source": "agent-success:codex-gpt6_astra-high-embodied-olympics-match-tabletennisg1-matchcpu-i01-standard/embodied-olympics-match-tableten__HA8ZdMB",
+ "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 simulator image with the task's sim overlay; the final state hash (06ece6e00a6ec47cd1b8a72be6511d51d93abfd74fa81745e6039ea3d458fa99), 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-tabletennisg1-matchcpu-i01-standard/embodied-olympics-match-tableten__HA8ZdMB",
+ "result": "Astra wins 5:2 against the platform's G1 at level 4 (the BOSS)",
+ "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 own geometry and colours (Unitree G1 visual meshes of the robot library, MuJoCo Menagerie's model)); 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; fixed 3/4 camera fitted to the robots and the table 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": 479,
+ "seconds": 15.97,
+ "speed": 1.0,
+ "clip": "GPT-6 Astra's G1 (near end, seat A) against the platform's G1 at level 4: from 2:2, the 3:2 point (the opponent lets the ball bounce twice) and the 4:2 rally (the opponent's shot hits its own half); Astra won 5:2",
+ "clip_steps": {
+  "k0": 1881,
+  "k1": 3276,
+  "sim_s": 13.95,
+  "control_hz": 100.0,
+  "score_before": {
+   "A": 2,
+   "B": 2
+  }
+ },
+ "camera": {
+  "mode": "fixed",
+  "frames_on": "robots,table",
+  "az_deg": -35.0,
+  "el_deg": 20.0,
+  "fovy_deg": 34.0,
+  "fill": 0.86,
+  "target": [
+   -0.1027,
+   -0.0922,
+   -0.1866
+  ],
+  "distance_m": 4.5404,
+  "orbit_deg": 10.0
+ },
+ "revision": "g1tt-10+core-0.5",
+ "replay": {
+  "final_state_sha": "06ece6e00a6ec47cd1b8a72be6511d51d93abfd74fa81745e6039ea3d458fa99",
+  "expected_from": "final.json (the live match)",
+  "expected_state_sha": "06ece6e00a6ec47cd1b8a72be6511d51d93abfd74fa81745e6039ea3d458fa99",
+  "scores": {
+   "A": 5,
+   "opponent": 2
+  },
+  "winner": "A",
+  "steps": 3552,
+  "checks": {
+   "state_sha": true,
+   "winner": true,
+   "scores": true,
+   "k": true
+  },
+  "scene": "match",
+  "episode_sha256": "0c19e653e19441d62e17384b6351a44668905102e49277a49d145ef36aaf2890",
+  "mujoco": "3.3.7"
+ },
+ "holds": {
+  "start_s": 0.5,
+  "end_s": 1.5,
+  "note": "first / last frame held, no extra simulation"
+ },
+ "visual_changes": [
+  "daylight sky and a plain ground plane instead of the venue's floor (drawn only)"
+ ],
+ "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",
+ "seconds_per_frame": 3.37,
+ "created": "2026-11-03"
+}

masters/roboolympics-match/tabletennisg1_matchcpu_i01/video.mp4

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