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…
Real-IKEA: Physical Fidelity is the Prerequisite for Robust Manipulation
Kunqi Xu, Zhenhao Huang, Siyuan Luo +2
Robotic manipulation robustness often founders on the physics gap between simplified simulations and the resistance-laden real world. In this work, we emphasize that physical reali…
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…
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…