Long Xu
Papers
1
Total Citations
9
H-Index
1
About
Long Xu is a researcher specializing in robotics, automation, and intelligent manufacturing systems, with a particular focus on multi-robot coordination and welding trajectory optimization. His most recognized contribution lies in the development of cooperative kinematic frameworks for master-slave multi-robot welding systems, addressing one of the field's persistent challenges: achieving precise, tool-free coordinated motion between robotic agents. His 2016 paper on kinematic cooperated welding trajectory planning introduced a closed kinematic chain model to govern dual-robot collaboration, offering a systematic approach to synchronizing complex robotic movements in industrial welding environments. This work, accumulating 9 citations, reflects growing interest in flexible, gripper-free manufacturing solutions that reduce setup complexity while maintaining welding accuracy. Xu's research sits at the intersection of kinematics, motion planning, and human-robot cooperative systems, contributing practical methodologies that advance smart factory capabilities. His work appeals to engineers and academics seeking robust solutions for automated welding in aerospace, automotive, and heavy manufacturing industries, where precision coordination between multiple robotic agents is critical to product quality and production efficiency.
Research Focus
Key Achievements
Top Papers
- 1