The core components of a robotic system are categorized into Perception (V), Cognition & Interaction (L), and Action (A), interconnected through computing power and energy solutions. Our robotics development begins with foundational hardware design.

We create URDF (Unified Robot Description Format) files to digitize robotic structures by defining geometries, kinematic properties, and physical parameters. The higher the fidelity to real-world physics, the more efficient the model training becomes.

To tackle the complexity of dynamic real-world environments, we built a data infrastructure bridging physical and digital realms. Our world models empower robots with transfer learning capabilities, accelerating reinforcement learning and imitation learning efficiency.