| [ |
| { |
| "name": "Robotics Compilation Pipeline", |
| "flow": [ |
| "Robot Sensors", |
| "Sync", |
| "Calibration", |
| "State Reconstruction", |
| "Action Alignment", |
| "World Representation" |
| ], |
| "best_for": "Robot learning, imitation learning and world-model training" |
| }, |
| { |
| "name": "Real2Sim Pipeline", |
| "flow": [ |
| "Real Scene", |
| "Capture", |
| "Reconstruction", |
| "Semantics", |
| "Simulation Conversion", |
| "Interactive Scene" |
| ], |
| "best_for": "Simulation, synthetic data and policy testing" |
| }, |
| { |
| "name": "Multimodal World Pipeline", |
| "flow": [ |
| "Vision + Audio + Depth + State", |
| "Synchronization", |
| "Fusion", |
| "World State", |
| "Representation" |
| ], |
| "best_for": "Embodied AI and multimodal foundation models" |
| }, |
| { |
| "name": "Digital Agent Pipeline", |
| "flow": [ |
| "App State + Tools + Events", |
| "State Capture", |
| "Action Alignment", |
| "Structured Environment", |
| "Agent World Model" |
| ], |
| "best_for": "Software agents and interactive digital environments" |
| }, |
| { |
| "name": "World Token Pipeline", |
| "flow": [ |
| "Raw Experience", |
| "Encoder", |
| "World Tokens", |
| "Dynamics Model", |
| "Planning" |
| ], |
| "best_for": "Scalable world-model training" |
| }, |
| { |
| "name": "Closed-Loop Physical AI", |
| "flow": [ |
| "Reality", |
| "World Compiler", |
| "World Model", |
| "Planner", |
| "Robot Action", |
| "Reality" |
| ], |
| "best_for": "Autonomous physical systems" |
| } |
| ] |
