Yuhong Yao
Papers
1
Total Citations
44
H-Index
1
About
Yuhong Yao is a leading researcher in distributed robotics and multi-agent systems, with a focus on optimization-driven coordination and formation control. Their most-cited work, "Distributed Optimization Algorithm for Multi-Robot Formation with Virtual Reference Center" (2022, 44 citations), introduces a novel constrained consensus algorithm that enables teams of robots to achieve precise geometric formations without centralized control. By framing formation problems as distributed optimization tasks with a virtual reference center, Yao provides a scalable and robust solution for real-time multi-robot coordination. This contribution is particularly impactful for applications in autonomous exploration, surveillance, and cooperative manipulation. Yao’s research bridges theoretical optimization with practical robotic deployment, offering elegant algorithms that handle local constraints and communication limitations. With growing recognition in the field, their work continues to influence the design of decentralized systems, making them a key figure in advancing the capabilities of multi-robot networks.
Research Focus
Key Achievements
Top Papers
- 1