Papers
2
Total Citations
15
H-Index
2
About
Xianghui Cao is a leading researcher in autonomous mobile sensor networks and multi-robot systems, with a focus on optimizing sensing quality and distributed control under realistic constraints. His seminal 2011 work on balancing sensing quality with guaranteed coverage in autonomous mobile sensor networks (9 citations) introduced novel approaches to resource-constrained environmental monitoring, addressing fundamental trade-offs between data fidelity and network longevity. In his influential 2013 paper (6 citations), Cao tackled the critical challenge of distributed formation control when robots lack sophisticated pose-estimation sensors—a practical limitation in many real-world deployments. By developing algorithms that achieve stable formation control using only relative measurements, he advanced the feasibility of low-cost multi-robot systems for applications ranging from search-and-rescue to precision agriculture. Cao’s contributions bridge theoretical control theory with hardware constraints, making his work particularly valuable for engineers building scalable, cost-effective robotic swarms. His research continues to shape how autonomous systems coordinate under uncertainty, with implications for smart environments and industrial automation.
Research Focus
Key Achievements
Top Papers
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