Papers
7
Total Citations
59
H-Index
5
About
Chun-Chieh Chan is a robotics researcher whose work centers on human-robot coexistence, collision-free navigation, and intelligent control for mobile and industrial manipulators. His most significant contribution is a real-time collision-free speed alteration strategy that uses a danger index and an elite real-coded genetic algorithm (ERGA) to guarantee operator safety in shared workspaces—a paper that has garnered 22 citations and directly addresses the critical challenge of human safety in collaborative robotics. Chan has also advanced the field of omnidirectional mobile robots, developing global path planning and navigation systems for Mecanum-wheeled platforms, including a nonsingular terminal sliding-mode (NTSM) dynamic motion controller. His research extends to decentralized localization using extended information filters (EIF) that fuse data from KINECT sensors and laser scanners, as well as EtherCAT-based impedance control for industrial manipulators. More recently, he has explored intelligent actor-critic learning control for collision-free trajectory tracking. With a portfolio of highly cited works spanning safety, navigation, and control, Chan is a notable figure in the development of safer, more autonomous robotic systems for human-centered environments.
Research Focus
Key Achievements
Top Papers
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