Chan-Hong Chao
Papers
5
Total Citations
71
H-Index
3
About
Chan-Hong Chao is a robotics researcher whose work centers on intelligent control systems, autonomous navigation, and computer vision for mobile robots. His most influential contributions lie in developing fuzzy-logic-based control schemes for wheeled mobile robots, particularly for challenging tasks like target tracking, obstacle avoidance, and precision parking. His 2009 paper on fuzzy target tracking with stereo vision (31 citations) and his 2005 work on omni-directional vision-based parallel parking (28 citations) are foundational, demonstrating how image processing and fuzzy control can enable real-time, autonomous maneuvering in cluttered indoor environments. Chao has also explored advanced control architectures, such as the interval type-2 fuzzy kinematic and terminal sliding-mode dynamic control for nonholonomic robots, pushing the boundaries of robust trajectory tracking. More recently, he has ventured into novel applications, including a 2023 case study on robot arm billiards, where he designed a 3D-printed gripper and integrated camera-based control for precise cueing. With a career spanning over two decades, Chao’s work bridges theoretical fuzzy control with practical, vision-guided robotics, offering valuable insights for students and researchers interested in autonomous systems, sensor fusion, and intelligent motion planning.
Research Focus
Key Achievements
Top Papers
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- 4Case Study of Robot Arm Billiards3 citations · 2023
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