Zhengda Meng
Papers
4
Total Citations
47
H-Index
3
About
Zhengda Meng is a pioneering researcher in industrial robotics, specializing in manufacturing optimization, multi-robot coordination, and intelligent job scheduling. His most cited work, "Off-line programming system of industrial robot for spraying manufacturing optimization" (2014, 30 citations), revolutionized traditional manufacturing by developing offline programming techniques that overcome the limitations of artificial teaching, significantly boosting productivity in paint robot applications. Meng further advanced the field with his study on "Kinematic cooperated welding trajectory planning for master-slave multi-robot systems" (2016, 9 citations), introducing a closed kinematic chain model for seamless multi-robot collaboration without gripper tools. His innovative "Hybrid genetic-ant colony algorithm based job scheduling method research of arc welding robot" (2010, 6 citations) transformed welding job scheduling into a Traveling-Salesman-Problem, optimizing efficiency through hybrid metaheuristic algorithms. Additionally, Meng's early work on "Modeling of reconfigurable material handling system consisting of multiple mobile robots" (2006, 2 citations) laid foundational insights for reconfigurable manufacturing systems, demonstrating how mobile robots adapt to volatile environments. With cumulative citations exceeding 47, Meng's contributions have profoundly impacted industrial automation, offering practical solutions for spraying, welding, and material handling that continue to inspire researchers and engineers in smart manufacturing.
Research Focus
Key Achievements
Top Papers
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