Biomechanically-Inspired Bipedal Robot Locomotion via Hybrid Gait Representation and Model-Guided Reinforcement Learning
Achieving stable and natural locomotion in bipedal robots, comparable to that of humans and animals, remains a long-standing challenge in robotics. In this work, we propose a bio-inspired low-level control framework that streamlines the generation of naturalistic gait patterns while ensuring adaptab