Papers
10
Total Citations
71
H-Index
5
About
Hung-Chyun Chou is a robotics researcher whose work spans intelligent robotic systems, autonomous navigation, and brain-computer interfaces. With contributions dating back to at least 2011, Chou has built a diverse research portfolio centered on advancing the capabilities of service and humanoid robots in real-world environments. Among his most recognized contributions is his work on robotic cleaner navigation, where he developed a pneumatic sensor-based approach to improve complete coverage performance — a paper that has garnered 26 citations and remains his most impactful work. His research into humanoid robotics has produced notable achievements in eye-hand-leg coordination, vision-based obstacle avoidance, and competition-ready platforms such as the HuroEvolution robot, designed for RoboCup and FIRA international competitions. Chou has also made meaningful strides in brain-computer interface technology, developing a brain-robot control interface for semiautonomous humanoid assistants and proposing a time-shift correlation algorithm to improve P300-based BCI classification accuracy. His investigations into wall-climbing robots and redundant manipulator trajectory planning further demonstrate the breadth of his engineering expertise. More recently, his work on graph-based path planning for autonomous mobile robots signals a continued evolution toward intelligent environmental exploration and perception.
Research Focus
Key Achievements
Top Papers
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- 2Brain-robot control interface: Development and application9 citations · 2014
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- 7DYNAMICS AND CONTROL OF A SUCTION-TYPE WALL-CLIMBING ROBOT3 citations · 2015
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