5 papers
Agile Fall Recovery for Quadrotors with Bidirectional Thrust via Reinforcement Learning
Anke Zhao, Yuhang Zhong, Kenghou Hoi +5
Autonomous fall recovery is a critical capability for quadrotors operating in real-world environments, where collisions or failures may leave the vehicle resting on the ground in a…
A Precise Real-Time Force-Aware Grasping System for Robust Aerial Manipulation
Kenghou Hoi, Yuze Wu, Annan Ding +4
Aerial manipulation requires force-aware capabilities to enable safe and effective grasping and physical interaction. Previous works often rely on heavy, expensive force sensors un…
Number Adaptive Formation Flight Planning via Affine Deformable Guidance in Narrow Environments
Yuan Zhou, Jialiang Hou, Guangtong Xu +1
Formation maintenance with varying number of drones in narrow environments hinders the convergence of planning to the desired configurations. To address this challenge, this paper…
Reactive Aerobatic Flight via Reinforcement Learning
Zhichao Han, Xijie Huang, Zhuxiu Xu +5
Quadrotors have demonstrated remarkable versatility, yet their full aerobatic potential remains largely untapped due to inherent underactuation and the complexity of aggressive man…
Shape-Adaptive Planning and Control for a Deformable Quadrotor
Yuze Wu, Zhichao Han, Xuankang Wu +4
Drones have become essential in various applications, but conventional quadrotors face limitations in confined spaces and complex tasks. Deformable drones, which can adapt their sh…