Papers
1
Total Citations
14
H-Index
1
About
Yuzhe Xu is a rising researcher in the field of robotics and control systems, with a primary focus on the trajectory tracking and high-precision control of wheeled mobile manipulators (WMMs). His work addresses the complex challenges posed by joint flexibility and system uncertainties in these hybrid robotic platforms, which combine a mobile base with a serial manipulator for expansive, dynamic workspaces. Xu’s most notable contribution is his development of a virtual decomposition approach for trajectory tracking control, a method that systematically handles the nonlinear dynamics and flexibility inherent in WMMs. This innovative framework, detailed in his 2025 paper, has already garnered 14 citations, signaling its early impact on advancing autonomous robotic operations in industries such as logistics, manufacturing, and field service. By tackling the critical issue of achieving high-precision motion despite mechanical uncertainties, Xu’s research bridges the gap between theoretical control design and practical robotic deployment. His work is particularly valuable for students and engineers seeking robust, real-time solutions for mobile manipulation, positioning him as a promising contributor to the next generation of intelligent, flexible robotic systems.
Research Focus
Key Achievements
Top Papers
- 1