Papers
47
Total Citations
1,126
H-Index
19
About
Xingwei Zhao is a leading researcher in mobile robotic machining, a field critical for manufacturing large-scale, complex components. His work addresses the fundamental challenge of achieving high precision with mobile, non-fixed robots. Zhao’s major contributions include pioneering the concept of a multimobile robot cluster system, where multiple robots coordinate as a single, distributed unit to machine oversized workpieces—a novel work pattern detailed in his highly cited 2021 paper (64 citations). He has also developed advanced control strategies, such as MPC velocity control for trajectory tracking (62 citations) and asymmetrical nonlinear impedance control for dual-robot systems (55 citations), significantly improving machining accuracy. His impact is underscored by his most cited work, a 2019 review study on mobile-robotic machining (157 citations), which has become a foundational reference. Beyond machining, Zhao explores human-robot collaboration, proposing impedance control frameworks for assembly tasks (38 citations). His research on vision-based mobile grinding (60 citations) and online process monitoring (43 citations) further demonstrates his commitment to integrating perception and control for robust, real-world manufacturing solutions.
Research Focus
Key Achievements
Top Papers
- 1Mobile-robotic machining for large complex components: A review study157 citations · 2019
- 2Accuracy analysis in mobile robot machining of large-scale workpiece65 citations · 2021
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10