--- license: mit task_categories: - robotics tags: - robotics - mujoco - manipulation - camera-calibration --- # V10.10 table-camera validation set Ten pick-and-place demonstrations from the `pact_place_corridor_v10_10_four_object` environment, re-run with one extra **fixed exterior table camera** (`exo_camera_1`) so the camera schema can be validated end to end before it is used at scale. This is a *schema* validation set, not a training corpus. The 144-row V10.10 training corpus is unchanged and is not part of this repo. ## What each row guarantees Every published row was checked before upload and carries: - `episode_00000000_exo_camera_1.mp4` — decodable exterior RGB, frame count equal to the trajectory's frame count; - `traj_0/obs/sensor_param/exo_camera_1` in `trajectory.h5`, holding `extrinsic_cv` `(T,3,4)`, `cam2world_gl` `(T,4,4)` and `intrinsic_cv` `(T,3,3)`, all finite `float64`; - **a genuinely fixed pose** — the within-episode max delta of all three calibration arrays is exactly `0.0`, so the camera does not drift across the episode. ## Read this before you reuse an extrinsic The camera is fixed *within* an episode but **re-drawn between episodes**. All ten sit at the same height on a near-constant ground radius, at a different azimuth each time, and they share one intrinsic matrix. Concretely: - height: **1.650 m** (identical on all ten) - ground radius: **1.022–1.079 m** (spread 56 mm) - azimuth: **-163.1° to -136.8°** - intrinsics shared across episodes: **yes** So load the extrinsic from the episode you are projecting. Reading one episode's `extrinsic_cv` and reusing it across the set will silently misproject the other nine — the intrinsics match, so nothing will look obviously wrong. `manifest.json` records those checks per row, along with a SHA-256 for every uploaded file. Each row is also a *clean* success under the collection's own predicate: the task succeeded and no contact was made with clutter, the hazard bar, mounted fixtures or the rest of the environment. ## Layout ``` pact_place_corridor_v10_10_tablecam_validation10/ manifest.json per-row metadata, camera validation and file hashes ledger.jsonl the full run ledger, including rejected attempts contract.json the frozen run contract rows/NNN_/ one directory per accepted episode ``` Per-row files: `trajectory.h5`, `result.json`, and MP4s for the exterior camera (RGB + depth), the wrist camera (RGB + depth) and the proximity-sensor heatmap. ## Coverage Ten cells spanning four layout families, both intrusion sides and all three pendant poses. Cells and seeds are listed in `manifest.json`. ## One inconsistency worth naming `result.json` in row `008` (F0_target_side_stagger|left|pos5) is far larger than the others (~73 MB vs ~11 KB): that row was collected before per-frame contact-audit summarisation was enabled. The trajectories, videos and calibration are unaffected.