Quadruped Navigation

Quadruped navigation research focuses on enabling robots to autonomously traverse diverse terrains, achieving robust and safe locomotion. Current efforts concentrate on integrating multiple sensor modalities (vision, proprioception) using advanced algorithms like vision-language models and reinforcement learning to create adaptable and reliable navigation systems. This work leverages techniques such as cost map generation, motion anisotropy awareness for trajectory planning, and force-responsive control for human-robot interaction, improving both efficiency and safety. The resulting advancements have significant implications for applications ranging from search and rescue to assistive robotics.