3 papers
cs.RO2025
A Simulation Evaluation Suite for Robust Adaptive Quadcopter Control
Dingqi Zhang, Ran Tao, Sheng Cheng +2
Robust adaptive control methods are essential for maintaining quadcopter performance under external disturbances and model uncertainties. However, fragmented evaluations across tas…
cs.RO2025
A Learning-based Quadcopter Controller with Extreme Adaptation
Dingqi Zhang, Antonio Loquercio, Jerry Tang +3
This paper introduces a learning-based low-level controller for quadcopters, which adaptively controls quadcopters with significant variations in mass, size, and actuator capabilit…
cs.RO2025
ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning
Ruiqi Zhang, Dingqi Zhang, Mark W. Mueller
This paper proposes the ProxFly, a residual deep Reinforcement Learning (RL)-based controller for close proximity quadcopter flight. Specifically, we design a residual module on to…