Xinsheng Wu
Papers
2
Total Citations
102
H-Index
2
About
Xinsheng Wu is a leading researcher in advanced robotics and control systems, with a primary focus on the modeling and vibration suppression of flexible robotic manipulators. His most impactful work, "Boundary Control of a Rotating and Length-Varying Flexible Robotic Manipulator System" (2020), has garnered 100 citations, establishing him as a key contributor to the field. In this seminal paper, Wu addresses the complex challenges of vibration suppression and angular position tracking in robotic systems composed of a rotating hub and a length-varying manipulator. By modeling the manipulator as an infinite-dimensional system using partial differential equations, he achieves precise dynamic response analysis—a significant advancement over traditional lumped-parameter models. This work is critical for improving the precision and safety of flexible robots in applications like aerospace and manufacturing. Wu also explores visual place recognition (VPR) in his 2020 review, highlighting the gap between machine vision and human capability in generating robust image descriptors. His research continues to push boundaries in control theory and robotics, offering foundational insights for students and engineers working on next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Research Status of Visual Place Recognition2 citations · 2020