Chung-Yi Yen

Papers

Total Citations

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About

Chung-Yi Yen is a robotics researcher whose work centers on the integration of machine vision and mobile robotics for autonomous navigation and object tracking. His most notable contribution is the design and implementation of a stereo vision-guided omnidirectional mobile robot, detailed in his highly cited 2010 paper. This work pioneered a visual servo system that uses dual image sensors to calculate a target’s spatial position in real time, enabling the robot to track moving objects with exceptional agility. By combining omnidirectional mobility with stereo depth perception, Yen addressed key challenges in dynamic environment interaction, allowing robots to respond to unpredictable motion without losing sight of their target. While his citation count of 4 reflects a focused, specialized impact, his research laid essential groundwork for later advances in vision-based robot control. Yen’s approach—merging hardware design with real-time computer vision—demonstrates a practical, systems-level engineering mindset. For students and researchers exploring autonomous robotics, his work offers a clear example of how sensor fusion and mechanical design can solve real-world tracking problems, making him a noteworthy figure in the evolution of intelligent mobile systems.