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cs.RO2026
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…
cs.RO2026
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…
cs.RO2026★ 2 cited
High-Speed Vision-Based Flight in Clutter with Safety-Shielded Reinforcement Learning
Jiarui Zhang, Chengyong Lei, Chengjiang Dai +4
Quadrotor unmanned aerial vehicles (UAVs) are increasingly deployed in complex missions that demand reliable autonomous navigation and robust obstacle avoidance. However, tradition…