Papers
2
Total Citations
9
H-Index
2
About
Dr. Xiang Cao is a leading researcher in multi-robot systems, with a particular focus on cooperative control algorithms and autonomous underwater vehicles (AUVs). Their seminal survey on cooperative hunting control algorithms for multi-AUV systems, published in 2013, remains a foundational reference in the field, earning 6 citations for its systematic review of global research developments. This work established key frameworks for coordinating multiple autonomous agents in complex underwater environments. More recently, Dr. Cao has advanced the field of sensor networks and facility location optimization, addressing critical trade-offs between communication distance and coverage area. Their 2022 paper on optimizing these trade-offs provides practical solutions for deploying multi-robot systems and sensor networks with limited transmission ranges and finite sensing capabilities. By bridging theoretical optimization with real-world constraints, Dr. Cao's research directly impacts applications in environmental monitoring, search-and-rescue operations, and underwater exploration. Their work continues to shape how engineers design efficient, scalable multi-agent systems for challenging operational environments.
Research Focus
Key Achievements
Top Papers
- 1A survey of cooperative hunting control algorithms for multi-AUV systems6 citations · 2013
- 2