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About

Zhiwei He is a robotics and automation researcher whose work spans industrial robot systems, machine vision, trajectory planning, and human-robot interaction. Over more than a decade of research, He has made meaningful contributions to the practical deployment of intelligent robotic systems across manufacturing and service environments. His early work focused on trajectory planning algorithms for 6-DOF industrial manipulators, developing fixed-distance Cartesian path planning and adaptive velocity planning methods that enable smoother, collision-free motion — foundational contributions that each attracted around 10 citations. He subsequently applied machine vision techniques to automate precision manufacturing tasks, including sealing ring assembly and battery lid sealing, demonstrating how computer vision can drive reliable industrial automation. These applied systems papers collectively reflect his strength in bridging algorithmic research with real-world engineering. More recently, He expanded into service robotics, contributing an intelligent master–slave collaborative robot system for cafeteria environments (12 citations) and obstacle detection solutions using laser radar for mobile platforms. His earlier exploration of multi-layer laser scans for real-time human body motion estimation also signals a sustained interest in human-robot interaction. With a body of work accumulating over 60 citations, He represents a versatile researcher whose contributions meaningfully advance both industrial automation and intelligent robotic systems.