Xinhai Zhuang
Papers
2
Total Citations
4
H-Index
1
About
Xinhai Zhuang is a rising expert in the control and coordination of multi-robot systems, with a primary focus on nonholonomic mobile robots. His research addresses critical challenges in formation control, including spatiotemporal constraints, collision avoidance, and fault tolerance under limited perceptual abilities. In his 2025 work on pre-assigned time safe formation tracking, Zhuang tackles the dual hurdles of limited perception and collision avoidance for multi-nonholonomic robots, earning 3 citations. He further advances the field with a prescribed-time reinforcement learning fault-tolerant formation control strategy, integrating machine learning to enhance operational efficiency and reliability in energy-constrained, fault-prone systems. Though early in his career, Zhuang’s contributions are notable for their theoretical rigor and experimental validation, bridging the gap between complex control theory and practical robotic applications. His work promises to improve the safety and autonomy of robotic swarms in real-world environments, from industrial automation to search-and-rescue missions.
Research Focus
Key Achievements
Top Papers
- 1
- 2