Xubo Wang
Papers
1
Total Citations
2
H-Index
1
About
Xubo Wang is a researcher whose work centers on the motion control and safety of mobile robots, with a particular emphasis on braking dynamics and slip prevention. His most notable contribution, detailed in the 2025 paper "Braking Control of Mobile Robots Using Integral Sliding-Mode Algorithm with Composite Convergence Regulation," addresses a critical challenge in robotics: achieving rapid, stable deceleration without wheel slippage in complex environments. By integrating an integral sliding-mode algorithm with composite convergence regulation, Wang’s approach enhances braking precision and robustness, directly improving the reliability of autonomous systems in real-world applications—from warehouse logistics to field exploration. Though his work is emerging, with 2 citations to date, it tackles a fundamental gap in motion control theory, offering a novel framework that balances speed and stability. Wang’s research is particularly relevant for students and engineers seeking to advance robot safety and performance in dynamic settings, positioning him as a promising voice in the field of mobile robotics and control systems.
Research Focus
Key Achievements
Top Papers
- 1