1 citations · 1 across the 11 of their papers we have counts for
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What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study
Jiayu Chen, Chao Yu, Yuqing Xie +9
Executing precise and agile flight maneuvers is critical for quadrotors in various applications. Traditional quadrotor control approaches are limited by their reliance on flat traj…
Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback
Feng Gao, Chao Yu, Yu Wang +1
Accurate motion control in the face of disturbances within complex environments remains a major challenge in robotics. Classical model-based approaches often struggle with nonlinea…
Human-Robot Cooperative Distribution Coupling for Hamiltonian-Constrained Social Navigation
Weizheng Wang, Chao Yu, Yu Wang +1
Navigating in human-filled public spaces is a critical challenge for deploying autonomous robots in real-world environments. This paper introduces NaviDIFF, a novel Hamiltonian-con…
FlightBench: Benchmarking Learning-based Methods for Ego-vision-based Quadrotors Navigation
Shu-Ang Yu, Chao Yu, Feng Gao +2
Ego-vision-based navigation in cluttered environments is crucial for mobile systems, particularly agile quadrotors. While learning-based methods have shown promise recently, head-t…
Localization matters too: How localization error affects UAV flight
Suquan Zhang, Yuanfan Xu, Shu'ang Yu +3
The maximum safe flight speed of a Unmanned Aerial Vehicle (UAV) is an important indicator for measuring its efficiency in completing various tasks. This indicator is influenced by…