Chien Chou Lin

National Yang Ming Chiao Tung University, National Yunlin University of Science and Technology

Papers

Total Citations

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About

Chien Chou Lin is a robotics researcher whose work centers on motion planning and autonomous navigation for robotic manipulators. His primary contributions lie in the development of potential-based path planning algorithms, particularly for high-degree-of-freedom (DOF) robot systems operating in complex three-dimensional environments. Lin's most recognized work, "Potential-based path planning for robot manipulators in 3-D workspace" (2004), introduced a novel collision avoidance framework grounded in generalized potential field theory. Drawing inspiration from electrostatic principles, the algorithm computes repulsive and attractive forces to guide robot manipulators safely through cluttered workspaces — a foundational challenge in robotics. This paper has accumulated 11 citations, reflecting its contribution to the field of robot motion planning. Building on this foundation, Lin extended his methodology in 2011 to address hyper-redundant robots equipped with 2-DOF joints, tackling the inherently more complex optimization challenges that such joint configurations present. This work demonstrates his sustained commitment to advancing scalable, generalizable planning frameworks across diverse robotic architectures. Lin's research offers practical value for engineers and researchers developing autonomous robotic systems, particularly in industrial and surgical robotics where precise, collision-free manipulation in confined spaces remains a critical requirement.