| { |
| "schema_version": 2, |
| "title": "Map-based embodied execution: reception-desk task", |
| "run_id": "sceneweft-walljourney-20260930-214924", |
| "delivery": "20260930-four-robot-demo-final-156s", |
| "recording_date": "2026-09-30", |
| "task_intent": { |
| "zh": "让无人机去前台，并让机器人在那里排好队。", |
| "en": "Send the drone to the reception desk and have the robots line up there.", |
| "language_to_plan_parser_demonstrated": false |
| }, |
| "scene": { |
| "method": "M4", |
| "blend_sha256": "cc6cb605246a255d94e36b9dc3f8b91d5a292b047470bc0ff75b8a5c404b0cfe", |
| "manifest": "evidence/M4/manifest.json" |
| }, |
| "navigation": { |
| "localization": "simulator_pose", |
| "route": "predefined", |
| "route_screening": "reconstructed_and_original_geometry", |
| "environment": "Isaac Sim / PhysX dynamics simulation", |
| "embodiments": ["drone", "humanoid", "quadruped", "wheeled_robot"], |
| "demonstration": "target marked on reconstructed map, routes specified, controller execution" |
| }, |
| "media": { |
| "video": "assets/embodied-demo/four-robots-214924-156s-phone.mp4", |
| "poster": "assets/embodied-demo/navigation-214924-poster.png", |
| "poster_sha256": "fe1dfcc8d014fc47f93a6e4e343598c146373c2d3dc7b41613123bb6caafec8f", |
| "sha256": "b9008c7b754f994d30a740a632b70ea0f693f3917fcf11820e64902ddbd13596", |
| "bytes": 11648571, |
| "duration_s": 156.0, |
| "width": 1280, |
| "height": 720, |
| "playback_rate": "1x", |
| "source_fps": "100/7", |
| "output_fps": 30, |
| "frame_count": 4680, |
| "route_trimmed": true, |
| "trimmed_opening_s": 12.32, |
| "source_frame_ids": [177, 2148], |
| "later_terminal_hold_included": false, |
| "frame_rate_conversion": "Timestamp-preserving frame duplication/drop; no optical-flow interpolation or acceleration", |
| "hd": { |
| "video": "assets/embodied-demo/four-robots-214924-156s-hd.mp4", |
| "sha256": "f83dbb49e3aa97fd3f5f9c54ed79ed8624bac75dbd7e4cdddc4dc414b76ed222", |
| "bytes": 49687378 |
| }, |
| "map": { |
| "image": "assets/embodied-demo/planned-route-156s.png", |
| "sha256": "e3c8e766f40a975a0aceca185fa60867375153fc8ddb6db451788eb935cb9b8b", |
| "bytes": 1125683, |
| "width": 1920, |
| "height": 1080, |
| "role": "static planned-route design, not a measured execution trajectory" |
| }, |
| "segments": [ |
| {"start_s": 0, "end_s": 6, "role": "scene presentation"}, |
| {"start_s": 6, "end_s": 12, "role": "reconstruction presentation"}, |
| {"start_s": 12, "end_s": 18, "role": "static planned-route presentation; not an execution trace"}, |
| {"start_s": 18, "end_s": 156, "role": "recorded native RGB execution from run 20260930-214924"} |
| ] |
| }, |
| "audit": { |
| "status": "FAILED", |
| "acceptance": false, |
| "film_accepted": false, |
| "summary": "evidence/embodied-demo-audit.json", |
| "ground_final_formation_reached": true, |
| "full_flight_mission_completed": true, |
| "required_terminal_hold_s": 8.0, |
| "measured_terminal_hold_s": 7.994999821297824 |
| }, |
| "scope": { |
| "demonstrated": ["map-based route execution in simulation", "shared map used by multiple embodiments"], |
| "not_evaluated": ["online visual localization", "learned instruction parsing", "memory retrieval", "real-robot transfer", "navigation comparison across M1-M4", "policy sim-to-real gap"] |
| } |
| } |
|
|
