Xiaoduo Li
Papers
4
Total Citations
131
H-Index
4
About
Xiaoduo Li is a leading researcher in multi-agent systems, with a primary focus on formation control, event-triggered mechanisms, and safety-critical coordination for unmanned aerial vehicles (UAVs) and multi-robot teams. Their most influential work, "Event-Triggered formation control for time-delayed discrete-Time multi-Agent system applied to multi-UAV formation flying" (2023), has garnered 108 citations, establishing a foundational framework for efficient, communication-aware formation flying under realistic delays. Li’s contributions extend to robust and adaptive control, as demonstrated by their game-based approach for nonautonomous leader tracking (2024, 5 citations), which addresses practical challenges in dynamic environments. Notably, their 2021 paper on "Cooperative Event Triggered Control for Multi-Robot Systems with Collision Avoidance" introduces a novel algorithm that minimizes the difference between actual and desired robot motion while rigorously enforcing safety constraints through event-triggered updates. This work is pivotal for ensuring collision-free operation in dense, real-world deployments. With a growing citation impact and a clear trajectory toward integrating event-triggered control with obstacle and collision avoidance, Li is shaping the next generation of autonomous, safe, and efficient multi-agent systems for both aerial and ground robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4