2 citations · 2 across the 3 of their papers we have counts for
5 papers
Benchmarking Interaction-Oriented Aerial Mobility across Heterogeneous Environments
Zhibo Duan, Hanlin Kong, Tianran Ma +8
Aerial mobile manipulation requires unmanned aerial vehicles (UAVs) to traverse heterogeneous environments such as indoor and outdoor domains, and connect navigation with subsequen…
Acting in Meters: Learning Metric Interactions for Precise Robotic Manipulation
Lijie Wang, Zheng Lu, Yiming Wang +12
Vision-Language-Action models and World-Action Models have advanced language-conditioned robotic manipulation, yet often leave metric relations among actions, objects, and scene ge…
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…
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…