Pengyang Fan
Papers
2
Total Citations
24
H-Index
2
About
Pengyang Fan is a researcher advancing the field of robotic sensor networks and coverage control, with a focus on optimizing deployment in complex, non-convex environments. His work addresses the critical challenge of efficiently handling random events through farsighted sensor placement, minimizing service costs where environmental nonconvexity creates intangible barriers for traditional algorithms. Fan’s major contributions include pioneering sectorial coverage control with load balancing in hollow, non-convex spaces, and developing rotary pointer partitions for coverage optimization—techniques that enable spatially distributed design where conventional methods fail. His most-cited paper, “Sectorial coverage control with load balancing in non-convex hollow environments” (2023), has garnered 17 citations, while his follow-up work on rotary pointer partitions (2023) has 7 citations, reflecting growing recognition in the robotics and sensor networks community. These achievements demonstrate Fan’s impact in solving real-world deployment challenges, making his research essential for students and engineers working on autonomous systems, environmental monitoring, and adaptive sensor networks. His innovative approaches promise to enhance efficiency and robustness in uncertain, geometrically complex settings.
Research Focus
Key Achievements
Top Papers
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- 2