Xiwang Dong
Papers
11
Total Citations
368
H-Index
8
About
Xiwang Dong is a leading researcher in multi-agent systems, with a particular focus on formation control, cooperative guidance, and swarm robotics. His work has significantly advanced the theory and application of time-varying formation tracking, enabling groups of unmanned aerial vehicles (UAVs) and mobile robots to maintain complex, dynamic shapes while navigating. A key contribution is his development of event-triggered and finite-time control strategies that guarantee precise formation-containment even under communication delays and unknown leader inputs, as seen in his highly cited 2023 paper (108 citations). Dong has also pioneered bio-inspired adaptive methods for UAV swarms (58 citations) and integrated deep reinforcement learning for autonomous mobile robot navigation (44 citations). His research extends to secure cooperative guidance for multi-missile systems with collision avoidance, addressing critical safety concerns. With over 350 total citations, Dong’s work bridges theoretical rigor and practical deployment, offering robust, scalable solutions for autonomous systems in defense, surveillance, and cooperative robotics.
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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