#Perception-Based Locomotion (1)

RPL: Learning Robust Humanoid Perceptive Locomotion on Challenging Terrains

RPL uses a two-stage framework that distills terrain-specific height-map experts into a unified depth-based transformer policy, enabling robust bidirectional humanoid locomotion with payloads on slopes, stairs, and stepping stones.