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{
"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"
}
] |