Robot Locomotion

Robot locomotion research focuses on enabling robots to move effectively and efficiently across diverse terrains, mimicking the adaptability of animals. Current efforts concentrate on developing robust control algorithms, including reinforcement learning and model predictive control, often incorporating bio-inspired designs like central pattern generators and leveraging multi-modal sensing (vision, proprioception) for terrain awareness. These advancements are crucial for expanding the capabilities of robots in challenging environments, impacting fields like planetary exploration, search and rescue, and assistive technologies.