Robotics

Reinforcement Learning for Robust Legged Locomotion

Training and robustness evaluation for locomotion policies under terrain, sensing, and dynamics shift, using identified failure modes to define targeted evaluation and curriculum scenarios.

Physical deployment, robustness evaluation and failure analysis, and large-scale GPU simulation.