Hsu-Yung Cheng
National Central University, South China University of Technology
Papers
2
Total Citations
17
H-Index
2
About
Hsu-Yung Cheng is a researcher whose work bridges computer vision, robotics, and intelligent systems, with a particular focus on enabling autonomous agents to perceive and interact with their environments. A key contribution is in real-time object detection and tracking for unmanned aerial vehicles (UAVs), as demonstrated in their highly cited 2023 paper. This work tackles the critical challenge of efficient, on-board vision processing by integrating a pruned YOLOv4 architecture within a Robot Operating System (ROS) framework, achieving fast and accurate target tracking—a vital capability for autonomous drone navigation. Earlier, Cheng explored human-robot collaboration with a 2015 paper on teaching robot manipulators through gesture recognition and hand motion tracking using a Kinect sensor. This research into intuitive, vision-based teaching methods for industrial robots highlights a sustained interest in making robotic systems more accessible and responsive to human input. With over 17 citations across their most prominent works, Cheng’s research is laying important groundwork for the next generation of autonomous systems, from aerial surveillance to collaborative manufacturing.
Research Focus
Key Achievements
Top Papers
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- 2