A multi-layer cognitive framework for the Unitree H1. Combining LLM reasoning with robust RL control.
Powered by the Groq API. IntelliH1 parses natural language commands, understands context, and translates intent into precise coordinate targets.
Official Unitree walking controller. Stable, adaptive, and robust.
Real-time LIDAR simulation processing 360° coverage in under 10ms.
Dynamic occupancy grid mapping with 0.3m resolution. It doesn't just walk; it knows where to walk.
Uses Llama 3.3 (via Groq) to deconstruct complex user requests into actionable goals. Acts as the creative brain of the operation.
Processes raw LIDAR data into a point cloud representation, identifying obstacles and free space in milliseconds.
Generates optimal waypoints on a dynamic grid, ensuring collision-free trajectories towards the target.
Executes the physical movement. Adjusts gait, balance, and velocity in real-time to follow the path.