Chieh‐Li Chen

Papers

Total Citations

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About

Chieh-Li Chen is a pioneering researcher in intelligent control systems and robotics, whose work bridges fuzzy logic, adaptive control, and robotic manipulation. His key contributions span pneumatic control systems, advanced robotic tracking, and redundant manipulator path planning. Chen’s most influential work, "A pneumatic model-following control system using a fuzzy adaptive controller" (1993), has garnered 21 citations, establishing foundational methods for integrating fuzzy logic with adaptive control in pneumatic systems—a critical advancement for industrial automation. He further advanced robotic control through observer-based robust adaptive iterative learning control (AILC) for robotic system tracking (2009), addressing persistent challenges in precision motion control. Notably, his 1999 paper on path planning and dynamic control of redundant robot manipulators for conveyor tracking introduced an optimal approach to minimize movement costs while avoiding obstacles, demonstrating practical applications in manufacturing. This work uniquely combined angular velocity constraints with real-time obstacle avoidance, showcasing Chen’s ability to solve complex, real-world engineering problems. His research continues to influence modern robotics and adaptive control theory, offering students and researchers a model for integrating theoretical rigor with practical implementation in automation and intelligent systems.