Haibo Gu
Papers
2
Total Citations
7
H-Index
2
About
Haibo Gu is a researcher in multi-agent systems and swarm robotics, with a focus on distributed control and event-triggered strategies. His work bridges bio-inspired algorithms and rigorous control theory to address coordination challenges in dynamic, networked environments. Gu’s most cited paper, "Distributed swarm control for multi-robot systems inspired by shepherding behaviors" (2024, 4 citations), introduces a novel framework that mimics natural herding to achieve scalable, decentralized swarm coordination—offering a biologically plausible solution for real-world robotic teams. In his earlier notable work, "Event-Based Formation Control for Linear Multi-Agent Systems Under Switching Topology" (2020, 3 citations), Gu developed an event-triggered consensus formation controller that ensures bounded formation errors while avoiding Zeno behavior, even as communication topologies change unpredictably. This contribution is significant for reducing unnecessary communication in multi-agent systems, making it highly relevant for energy-constrained or bandwidth-limited applications. Though early in his career, Gu’s integration of event-triggered mechanisms with switching topologies and bio-inspired control positions him as an emerging voice in resilient, autonomous multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1
- 2