Qingfei Zeng
Papers
7
Total Citations
93
H-Index
4
About
Qingfei Zeng is a leading researcher in advanced manufacturing robotics, specializing in the kinematics, trajectory planning, and dynamic analysis of multi-manipulator collaborative systems for high-precision industrial applications. His major contributions center on solving complex coordination challenges in dual-beam laser welding and automated spraying, particularly for the aerospace and shipbuilding industries. Zeng’s most influential work, "Kinematics Analysis and Trajectory Planning of collaborative welding robot with multiple manipulators" (2019, 35 citations), established foundational methods using Denavit-Hartenberg (D-H) modeling for aircraft double curved panel welding. He further advanced the field with "Time-energy Optimal Trajectory Planning for Collaborative Welding Robot with Multiple Manipulators" (2020, 32 citations), introducing cubic B-spline interpolation to minimize energy consumption and runtime while ensuring motion smoothness. His research also addresses self-collision detection in truss-type platforms and multi-objective optimization for large ship block spraying. With over 90 total citations, Zeng’s work directly supports China’s aerospace and shipbuilding automation goals, bridging theoretical robotics with practical industrial deployment. His achievements include developing novel kinematic solutions for dual-arm coordination and workspace analysis for painting robots, making him a key figure in collaborative manufacturing robotics.
Research Focus
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