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blog: HQ case videos (1)

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blog/robotwin_2_0_put_bottles_dustbin-standard--ydhsp73/meta.json ADDED
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+ {
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+ "slug": "robotwin_2_0_put_bottles_dustbin-standard--ydhsp73",
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+ "status": "rendered",
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+ "task": "robotwin_2_0_put_bottles_dustbin-standard",
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+ "bench": "robotwin_2_0",
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+ "mode": "standard",
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+ "run": "codex-gpt6_astra-high",
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+ "outcome": "success",
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+ "card": "GPT-6 Astra, standard, solved",
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+ "source_trial": "codex/gpt6_astra/high/codex-gpt6_astra-high-robotwin_2_0_put_bottles_dustbin-standard/robotwin_2_0_put_bottles_dustbin__YdHsp73",
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+ "what": "re-rendered natively in the task's own simulator: this trial's recorded physics-step rows replayed from the frozen instance with the task's own rcb_traj.py Session of the trial's commit (physics unchanged), frames ray traced by SAPIEN's rt shader; same camera, lights and settings as the suite's HF master masters/robotwin-2/put_bottles_dustbin (a privileged trial of the same task and instance)",
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+ "renderer": "SAPIEN 3.0.0b1 ray tracing (shader 'rt'), 32 spp, path depth 8, OIDN denoiser; render 2560x1440; RoboTwin's own lights re-balanced (ambient 0.22, key 1.6, fill 0.45); backdrop wall hidden from rendering only; fixed camera = the HF master's (pos 0.5855,1.3114,2.0806, target -0.0819,-0.1197,0.7557, fovy 36 deg); image eai-robotwin:0.1.2",
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+ "rendering": "ray-tracing",
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+ "width": 2560,
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+ "height": 1440,
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+ "fps": 30,
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+ "frames_rendered": 605,
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+ "render_seconds": 210.4,
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+ "seconds_per_frame": 0.317,
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+ "time_range": {
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+ "from_step": 0,
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+ "to_step": 15082,
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+ "physics_hz": 250,
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+ "sim_t_from_s": 0.0,
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+ "sim_t_to_s": 60.33,
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+ "why": "the whole live episode (the graded one): every recorded physics step from the frozen start to the success that ended it"
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+ },
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+ "speed": 3.0,
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+ "speed_note": "uniform 3x: one frame every 25 physics steps (250 Hz) at 30 fps; the master used 1.92x",
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+ "holds": {
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+ "start_s": 0.5,
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+ "end_s": 1.5,
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+ "note": "first/last frame held, no extra simulation"
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+ },
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+ "replay_check": {
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+ "reproduced": true,
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+ "how": "every recorded physics-step row (verifier/trajectory.npz = artifacts/data/trajectory.npz, 15082 rows) replayed in the render pass with the task's own environment/sim/rcb_traj.py Session at exam repo 95ccd77111 (the last change to the task before the trial) on the frozen instance.json; RoboTwin's check_success() and the state hash taken at the end, compared with the live episode's record (final.json)",
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+ "recorded": {
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+ "success": true,
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+ "graded_by": "live",
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+ "live_sha": "f92c423cffc0",
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+ "n_actions": 15082,
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+ "verifier_reward": 1
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+ },
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+ "replayed": {
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+ "success": true,
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+ "state_sha": "f92c423cffc0",
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+ "n_actions": 15082,
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+ "instance_sha": "8766c75a74ac"
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+ },
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+ "matches": {
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+ "success": true,
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+ "state_sha": true,
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+ "n_actions": true
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+ },
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+ "instance": {
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+ "instance_sha": "8766c75a74ac",
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+ "hf_master_instance_sha": "8766c75a74ac"
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+ }
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+ },
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+ "render": {
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+ "task": "put_bottles_dustbin",
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+ "seed": 28831,
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+ "n_actions": 15082,
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+ "success": true,
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+ "state_sha": "f92c423cffc0",
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+ "instance_sha": "8766c75a74ac",
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+ "every": 25,
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+ "path_depth": 8,
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+ "denoiser": "oidn",
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+ "light": "tuned",
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+ "light_params": {
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+ "ambient": 0.22,
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+ "key": 1.6,
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+ "fill": 0.45
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+ },
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+ "wall_hidden": true,
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+ "fit": {},
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+ "cams": {
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+ "main": {
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+ "pos": [
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+ 0.5855,
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+ "wall_s": 286.8,
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+ "sapien": "3.0.0b1"
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+ },
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+ "encode": "master: libx264 preset slow CRF 16, yuv420p, 30 fps, +faststart, no audio (as the HF master)",
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+ "files": {
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+ "video.mp4": {
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+ "codec": "h264",
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+ "profile": "High",
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+ "sha256": "d518b1f2c1e01a5f402dff1bf549893ba490335ff8aa4c780fabdbbee976b7cc",
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+ "note": "stream copy of the master (remuxed with +faststart)"
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+ },
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+ "web.mp4": {
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+ "codec": "h264",
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