Qingdong Li
Papers
10
Total Citations
358
H-Index
8
About
Qingdong Li is a leading researcher in multi-agent systems, cooperative control, and autonomous navigation, with a particular focus on swarm robotics and unmanned aerial vehicle (UAV) formations. His work bridges theoretical control theory and practical robotic applications, addressing critical challenges in formation tracking, collision avoidance, and secure cooperative guidance. Li’s most cited paper, “Event-Triggered formation control for time-delayed discrete-Time multi-Agent system applied to multi-UAV formation flying” (2023, 108 citations), introduces efficient communication strategies for UAV swarms under realistic constraints. His research on finite-time formation-containment tracking (62 citations) and bio-inspired adaptive swarm control (58 citations) has significantly advanced the stability and robustness of multi-robot systems. Li has also made notable contributions to mobile robot navigation using deep reinforcement learning (44 citations) and secure multi-missile guidance with collision avoidance (13 citations). His work on practical time-varying formation tracking for non-holonomic robots (24 citations) and nonlinear MPC for quadrotors in close-proximity flight (12 citations) demonstrates his commitment to real-world validation through experiments. With over 350 total citations, Li’s research is shaping the future of autonomous swarms, offering scalable, secure, and adaptive solutions for defense, robotics, and aerospace applications.
Research Focus
Key Achievements
Top Papers
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- 5Task coupling based layered cooperative guidance: Theories and applications27 citations · 2022
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