Papers
1
Total Citations
3
H-Index
1
About
Pan Hong is a researcher focused on advancing underground pipeline detection and maintenance through multi-robot systems and cooperative automation. Her key research areas include pipeline map construction, multi-robot queue cooperation, and intelligent infrastructure inspection. In her most-cited work, "Simulation Research on Pipeline Map System Based on Multi-robot Queue Cooperation" (2020, 3 citations), Hong addresses the critical challenge of mapping underground pipeline environments—a task essential for accurate pipeline network location, planning, and maintenance. By proposing a multi-robot cooperative approach, she demonstrates how teams of robots can collaboratively carry detection equipment to construct detailed pipeline maps, significantly improving efficiency and safety over traditional manual methods. This work contributes to the broader development of underground pipeline detection technology, where robotic systems are increasingly vital for infrastructure management. Hong’s research highlights the potential of swarm robotics in confined, hazardous environments, offering practical solutions for real-world pipeline inspection and maintenance. Her contributions are particularly relevant for students and researchers interested in field robotics, multi-agent systems, and infrastructure automation, showcasing how simulation-driven studies can pave the way for deploying robots in complex, subterranean settings.
Research Focus
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Top Papers
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