Min Zeng

Papers

Total Citations

262

H-Index

About

Min Zeng is a leading figure in industrial robotics, whose work has significantly advanced the precision and efficiency of automated manufacturing systems. His primary research focuses on trajectory planning and control for robotic manipulators, with a particular emphasis on optimizing motion to balance speed, accuracy, and mechanical stress. Zeng’s most influential contribution is his 2017 paper on "Optimal time-jerk trajectory planning for industrial robots," which has garnered 259 citations and become a foundational reference in the field. This work introduced a novel approach to minimizing jerk—the rate of change of acceleration—during robot motion, enabling smoother, faster, and more reliable operations in tasks like welding and assembly. Beyond trajectory optimization, Zeng has also explored specialized applications, such as his 2007 study on a waveform control high-speed welding system for arc welding robots, demonstrating his commitment to solving real-world industrial challenges. His research has been instrumental in enhancing the performance and longevity of robotic systems, making him a respected authority among engineers and researchers seeking to push the boundaries of automation technology.