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About

Yongguo Mei is a robotics researcher whose work has made significant contributions to the field of energy-efficient mobile robotics, with a particular focus on motion planning, robot deployment, and autonomous exploration. His research addresses one of the most pressing practical challenges in mobile robotics: the constraint of limited onboard energy and how it shapes every aspect of robot operation, from individual movement decisions to large-scale fleet deployment. Among his most influential contributions is his development of energy-aware motion planning frameworks, modeling the relationship between motor speed and power consumption to optimize robot trajectories — a paper that has garnered over 220 citations. His complementary work on robot deployment with energy and timing constraints (246 citations) and a comprehensive case study of energy consumption and conservation techniques (199 citations) established him as a leading voice on the practical realities of deploying mobile robots in real-world applications such as search and rescue, exploration, and environmental monitoring. He also addressed fleet-sizing problems under energy constraints and pioneered approaches to energy-efficient exploration in unknown environments. Collectively, his body of work, surpassing 860 citations, has laid foundational groundwork that continues to inform modern autonomous robot system design.