Papers
4
Total Citations
48
H-Index
4
About
Yan Yuan is a researcher specializing in mobile robotics, wireless sensor networks, and communication-aware motion planning. His work sits at the intersection of robotics and wireless communications, addressing fundamental challenges in how mobile robots can efficiently collect data, monitor environments, and minimize energy consumption in networked systems. Among his most notable contributions is his development of efficient clustering and path planning strategies using space-filling curves for robotic data collection, which garnered 17 citations and offers practical solutions for optimizing both robot motion and sensor communication costs simultaneously. His earlier work on dynamic coverage of time-varying environments (15 citations) introduced a communication-aware framework for managing uncertainty in robotic sensing missions, a problem of significant practical relevance in autonomous systems. Yuan has also made important strides in understanding the impact of localization errors on wireless channel prediction in mobile robotic networks, providing rigorous mathematical characterizations that inform system design. His research on minimizing total communication and motion energy consumption further demonstrates his commitment to developing holistic, efficiency-driven approaches to robotic operations. Collectively, his contributions help lay the theoretical and applied groundwork for deploying intelligent, resource-conscious mobile robots in real-world sensing and monitoring scenarios.
Research Focus
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Top Papers
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