Papers
2
Total Citations
18
H-Index
2
About
Zhenqin Xu is a researcher in robotics and manufacturing automation, with a primary focus on welding robot kinematics and offline programming technologies. His work addresses critical challenges in industrial robotics, particularly the efficient and reliable computation of inverse kinematics for six-degree-of-freedom (6-DOF) welding robots. Xu’s most significant contribution is the development of an inverse kinematics algorithm based on screw theory, which is tailored for robots with the common structural feature of intersecting last three joint axes and parallel joints 2 and 3. This approach offers a more efficient and robust solution compared to traditional methods, enabling precise motion planning for complex welding tasks. In related work, Xu advanced offline programming for spatial intersection curve welding using the Visualization Toolkit (VTK), allowing for simulation and path generation without direct robot downtime. While his citation counts are modest—16 for his 2019 paper and 2 for his 2018 work—these contributions are foundational for researchers and engineers seeking to improve automation in welding, a critical process in manufacturing. Xu’s research bridges theoretical kinematics with practical industrial applications, offering valuable tools for the next generation of robotic systems.
Research Focus
Key Achievements
Top Papers
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