Mingyong Zhao

Chinese Academy of Sciences, Tsinghua University

Papers

Total Citations

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About

Mingyong Zhao is a leading researcher in robotic and CNC machining optimization, specializing in time-optimal path and trajectory planning for manufacturing tasks. His work addresses critical challenges in industrial automation, particularly for drilling, spot welding, and machining operations where efficiency and safety must be balanced. Zhao’s most influential contribution is his 2015 paper on minimum time path planning for robotic manipulators in multi-point manufacturing, which has garnered 44 citations and introduced a novel strategy that optimizes both the traveling schedule and transfer path between points to minimize task duration. He further advanced the field with a 2017 study on robust time-optimal trajectory planning under probabilistic actuation constraints, earning 11 citations for its practical approach to handling limited actuation with guaranteed reliability. Most recently, his 2023 work on time-bound optimal planning for CNC machines integrates machining safety through flexible kinematic constraints modeled as fuzzy sets, offering a novel solution to the efficiency-security dilemma. Zhao’s research has significant implications for high-speed, precise manufacturing, and his methods are widely applicable in robotics and computer numerical control (CNC) systems.