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About

Jeng-Dao Lee is a prominent researcher specializing in industrial automation, robotic systems, and intelligent manufacturing technologies. His work centers on advancing the capabilities of robotic arms, automated production lines, and smart factory integration — areas that sit at the forefront of the global Industry 4.0 movement. Lee's most influential contribution, "Multi-robotic arms automated production line" (2018, 29 citations), demonstrated the self-development and integration of parallel, gantry, and six-axis serial robots controlled through kinematics methods, establishing a comprehensive framework for collaborative robotic manufacturing. His subsequent research expanded into intelligent palletizing systems, mobile robots with vision inspection capabilities, and fully automated CNC machining — collectively accumulating over 70 citations across his published work. A distinguishing feature of Lee's research is its strong applied orientation. From implementing automated gluing and assembly workstations to developing AI-powered safety protection systems for human-robot collaboration environments, his contributions directly address real-world industrial challenges. His 2023 work on robotic arm workspace AI protection reflects a growing focus on safe human-machine interaction — a critical concern as automation becomes more pervasive. Lee's body of work makes him a valuable figure for students and engineers seeking to understand the practical design, control, and intelligent deployment of modern robotic systems in manufacturing contexts.