Papers
2
Total Citations
41
H-Index
2
About
Xianwei Li is a leading researcher in multi-robot coordination and distributed control systems, with a focus on formation control and temporal logic-based task planning. His work addresses critical challenges in networked mobile robotics, particularly in scenarios where robots must operate with limited or unknown reference information. In his highly cited 2023 paper on formation control of networked mobile robots with unknown reference orientation (27 citations), Li introduced novel distributed strategies that enable leader-following formations without requiring global orientation knowledge, a breakthrough for real-world deployment. His 2022 work on distributed model predictive control for multi-robot systems with conflicting signal temporal logic tasks (14 citations) tackles the complex problem of ensuring robots satisfy time-sensitive goals while avoiding collisions, blending formal methods with real-time control. Li's contributions are pivotal for advancing autonomous multi-robot systems in applications such as search-and-rescue, warehouse automation, and environmental monitoring. With a growing citation impact, his research continues to shape the intersection of distributed optimization, control theory, and robotic task execution, offering practical solutions for scalable and resilient multi-agent systems.
Research Focus
Key Achievements
Top Papers
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