5 papers
E2DRL: End-to-End Differentiable Reinforcement Learning for 3D Obstacle Avoidance in Quadruped Robots
Cheng Fan, Bingyang Zhou, Gang Yang +7
Differentiable reinforcement learning shows strong promise for robot policy learning, but its application to legged locomotion has remained limited to blind walking or simulated 2D…
Soft Responsive Materials Enhance Humanoid Safety
Chunzheng Wang, Yiyuan Zhang, Annan Tang +12
Humanoid robots are envisioned as general-purpose platforms in human-centered environments, yet their deployment is limited by vulnerability to falls and the risks posed by rigid m…
APREBot: Active Perception System for Reflexive Evasion Robot
Zihao Xu, Kuankuan Sima, Junhao Deng +4
Reliable onboard perception is critical for quadruped robots navigating dynamic environments, where obstacles can emerge from any direction under strict reaction-time constraints.…
SAC-Loco: Safe and Adjustable Compliant Quadrupedal Locomotion
Aoqian Zhang, Zixuan Zhuang, Chunzheng Wang +3
Quadruped robots are designed to achieve agile and robust locomotion by drawing inspiration from legged animals. However, most existing control methods for quadruped robots lack a…
REBot: Reflexive Evasion Robot for Instantaneous Dynamic Obstacle Avoidance
Zihao Xu, Ce Hao, Chunzheng Wang +3
Dynamic obstacle avoidance (DOA) is critical for quadrupedal robots operating in environments with moving obstacles or humans. Existing approaches typically rely on navigation-base…