Chao‐Lin Kuo
Papers
6
Total Citations
28
H-Index
3
About
Chao-Lin Kuo is a robotics researcher whose work bridges the gap between intelligent control systems and autonomous mobile platforms, with a particular focus on underwater and ground-based robots. His primary research areas include underwater robot station-keeping, fuzzy logic control, and embedded system applications for mobile robotics. Kuo’s most significant contributions lie in developing robust control strategies for challenging environments: he has designed PID controllers for underwater vehicle depth and position control, created CMAC-based fall detection algorithms for omni-directional mobile robots assisting the elderly, and implemented fuzzy controllers for car-like mobile robots using embedded systems. His work on visual servo control for underwater station-keeping addresses the critical challenge of maintaining position in deep-water environments disturbed by currents. With over 28 citations across his most-cited papers, Kuo’s research demonstrates practical applications in ocean exploration, rehabilitation robotics, and autonomous navigation. His notable achievements include developing floating-drowning PI control for ROV position tracking and implementing sensor-based following methods for mobile robots, showcasing his commitment to creating reliable, real-world robotic solutions that operate effectively in unpredictable conditions.
Research Focus
Key Achievements
Top Papers
- 1A PID controller for the underwater robot station-keeping8 citations · 2016
- 2
- 3
- 4Following method for a car-like mobile robot using two IR sensors3 citations · 2014
- 5Application of an Embedded System for the Car-Like Mobile Robot2 citations · 2009
- 6Visual servo control for the underwater robot station-keeping2 citations · 2017