Ruoyang Xu
Papers
1
Total Citations
15
H-Index
1
About
Ruoyang Xu has made pioneering contributions at the intersection of safe robot navigation and hierarchical control systems. His most influential work, "Potential Gap: A Gap-Informed Reactive Policy for Safe Hierarchical Navigation" (2021, 15 citations), introduces a novel local planning module that elegantly bridges gap-based navigation methods with artificial potential fields. This innovation enables robots to navigate complex environments with both efficiency and guaranteed safety, addressing a critical challenge in autonomous systems. Xu's research focuses on developing reactive policies that allow robots to make real-time decisions while maintaining formal safety guarantees—a fundamental requirement for deploying autonomous systems in human environments. His work on potential gap navigation has been recognized for its practical impact, offering a computationally efficient solution that avoids the local minima problems common in traditional potential field methods. By integrating geometric reasoning with control theory, Xu has created frameworks that are both theoretically rigorous and practically deployable. His contributions continue to influence the development of safe, hierarchical navigation systems for mobile robots, with applications ranging from warehouse automation to autonomous driving.
Research Focus
Key Achievements
Top Papers
- 1