Guan-Ming Chen

National Chung Hsing University, National Yang Ming Chiao Tung University

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About

Guan-Ming Chen is a rising researcher in intelligent robotics and adaptive control systems, with a focus on multi-robot coordination, reinforcement learning, and neural-network-based control. His work addresses critical challenges in autonomous navigation and formation control for mobile robots operating in uncertain environments. In his 2023 paper on adaptive reinforcement learning formation control using ORFBLS for omnidirectional mobile multi-robots, Chen introduced a novel framework that integrates online recurrent fuzzy neural networks with reinforcement learning to achieve robust, collision-free coordination—garnering 9 citations. He extended this line of inquiry in 2024 with an intelligent actor-critic learning control approach for Mecanum-wheeled mobile robots, achieving precise trajectory tracking while avoiding obstacles (7 citations). Earlier, Chen demonstrated his foundational expertise in adaptive control with a 2006 paper on an online genetic fuzzy-neural sliding mode controller, which employed B-spline membership functions and an adaptive genetic algorithm to ensure robust stability for robot manipulators under uncertainty (3 citations). His work bridges classical sliding mode control with modern learning-based methods, offering practical solutions for real-world robotic systems. Chen’s research continues to influence the development of intelligent, adaptive, and safe autonomous systems.