Longkun Xu
Papers
2
Total Citations
44
H-Index
2
About
Dr. Longkun Xu is a leading researcher in robotic machining and precision manufacturing, with a core focus on stiffness modeling, deformation control, and collaborative robotics for thin-walled and freeform surface components. His major contributions lie in developing innovative strategies to enhance machining accuracy through stiffness matching—a paradigm that addresses the critical challenge of deformation errors in dual-robot collaborative systems. His 2024 paper on stiffness matching-based deformation control for thin-walled parts (23 citations) provides a foundational framework for improving process reliability in aerospace and automotive applications. Earlier, his 2022 work on tool orientation and redundancy planning constrained by stiffness (21 citations) introduced a novel method for optimizing robotic paths on freeform surfaces, significantly reducing machining errors. These contributions have been widely recognized, with his work cited by peers for its practical impact on industrial robotics. Dr. Xu’s research bridges theoretical stiffness analysis with real-world machining constraints, offering scalable solutions that advance the precision and efficiency of robotic manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2