Kuan-Yo Chen

About

Kuan-Yo Chen is a robotics researcher specializing in intelligent control systems and autonomous navigation for mobile robots. His work focuses on integrating fuzzy logic and model-based approaches to enhance the safety and precision of wheeled mobile robots in dynamic environments. His most-cited paper, "Design and Implementation of the Trajectory Tracking and Dynamic Obstacle Avoidance of Wheeled Mobile Robot Based on T–S Fuzzy Model" (2023), presents a novel framework that combines Takagi-Sugeno fuzzy modeling with real-time trajectory tracking and obstacle avoidance. This contribution addresses critical challenges in autonomous robotics, such as maintaining stability while navigating unpredictable obstacles. With 5 citations in a short time, his research is gaining traction among peers working on intelligent transportation and service robotics. Chen's work is notable for its practical implementation, bridging theoretical control design with real-world robotic systems. His achievements highlight a promising trajectory in advancing autonomous navigation technologies for safer, more efficient mobile robots.

Research Focus

Key Achievements

Top Papers

1. 1
   Design and Implementation of the Trajectory Tracking and Dynamic Obstacle Avoidance of Wheeled Mobile Robot Based on T–S Fuzzy Model

   5 citations · 2023

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