Using AI Agents to Teach Robots Like Microduck to Walk in Simulation
Using AI Agents to Teach Robots Like Microduck to Walk in Simulation
NVIDIA is developing an AI agent to teach Microduck to walk in a simulated environment. The model navigates obstacle courses by perceiving the environment, maintaining balance, and adjusting actions. This technology combines stages of asset creation, physics simulation, and training evaluation.
Teaching a robot to navigate an obstacle course requires more than a walking policy. It must perceive its surroundings, maintain balance, and adjust its actions...
Teaching a robot to navigate an obstacle course requires more than a walking policy. It must perceive its surroundings, maintain balance, and adjust its actions when obstacles block the path ahead. Developing these capabilities connects several stages: creating assets and an environment, using physics simulation to model how the robot interacts with its environment, and training and evaluating…
Source: NVIDIA Technical Blog · developer.nvidia.com