Learning Robust Aerial Grasping from Monocular RGB Vision via Reinforcement Learning
IEEE Transactions on Robotics (T-RO), under review
Kenghou Hoi
I am a master's student in Control Science and Engineering at Zhejiang University, advised by Prof. Fei Gao at FAST Lab. My research focuses on aerial manipulation, UAV motion planning and control, and reinforcement learning. I received my B.Eng. in Communication Engineering from Beijing University of Posts and Telecommunications. I am from Macao SAR, China.
Research Interests
My research interests include aerial manipulation, tactile sensing, robot perception and control, motion planning, reinforcement learning, and autonomous aerial systems. I am particularly interested in robust onboard systems that combine visual and force feedback for agile, contact-rich interaction in real-world environments.
Publications & Projects
* Equal contribution.
A Fully Onboard Integrated Aerial Grasping System for Moving Targets in Cluttered Environments
IEEE/ASME Transactions on Mechatronics (T-MECH), under review
Agile Fall Recovery for Quadrotors with Bidirectional Thrust via Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L)
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Learning LiDAR-Based Dynamic Obstacle Avoidance via Time-to-Collision Supervision
IEEE Transactions on Automation Science and Engineering (T-ASE), under review
Video coming soon
DPNet: Efficient Dead-End Prediction and Avoidance for Vision-Based UAV Navigation
IEEE Robotics and Automation Letters (RA-L), under review
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