Fangbo Zhang
Papers
1
Total Citations
33
H-Index
1
About
Fangbo Zhang is a leading researcher in decentralized robotics and swarm intelligence, with a focus on stochastic control of multi-agent systems operating under severe constraints. His most-cited work, "Decentralized stochastic control of robotic swarm density: Theory, simulation, and experiment" (2017, 33 citations), introduces a groundbreaking framework for controlling large robot swarms without central coordination, communication, or localization. In this approach, individual robots rely solely on local scalar field measurements to achieve a desired spatial density distribution—a paradigm shift from traditional swarm control methods. This work bridges theory, simulation, and physical experimentation, demonstrating robust, scalable swarm behavior in real-world conditions. Zhang’s contributions are particularly impactful for applications in environmental monitoring, search-and-rescue, and distributed sensing, where communication and GPS are unavailable. His research advances the fundamental understanding of emergent collective behavior from minimal individual capabilities, offering practical pathways for deploying resilient, autonomous swarms in unstructured environments. With growing influence in the robotics community, Zhang’s work continues to inspire new directions in decentralized control and embodied intelligence.
Research Focus
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Top Papers
- 1