3 accepted papers
Bipedal robots are inherently prone to falling due to their higher center of mass and narrower support polygon, making automatic fall recovery a long-standing challenge. Existing approaches often rely on posture-specific strategies or exhibit limited robustness and generalization, restricting their …
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
Aerial manipulation provides an effective alternative to human labor in high-risk outdoor situations. Complex and variable environments demand the system to respond quickly with minimal latency to external disturbances. To address this challenge, we propose a learning-based variable whole-body model