Meng-Chu Ko

Papers

Total Citations

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About

Meng-Chu Ko is a leading researcher in robotics, specializing in redundant manipulator control and collision avoidance systems. His most cited work, "Repulsive reaction vector generator for whole-arm collision avoidance of 7-DoF redundant robot manipulator" (2014, 23 citations), introduces an innovative repulsive reaction vector generator (RVG) that enables whole-arm obstacle avoidance for 7-degree-of-freedom redundant robot manipulators, with particular focus on spherical-revolute-spherical (S-R-S) type systems. Ko's major contribution lies in developing a robust framework that allows robotic arms to dynamically generate repulsive vectors, effectively avoiding collisions while maintaining task performance—a critical advancement for safe human-robot interaction and industrial automation. His research has been instrumental in enhancing the autonomy and safety of complex manipulators, with applications in manufacturing, healthcare, and service robotics. Through his work on the obstacle-avoiding function of RVG, Ko has provided foundational insights that continue to influence modern robotic motion planning and control strategies.