Bingxi Li

Papers

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About

Bingxi Li is a leading researcher in autonomous robotics, with a primary focus on multi-robot systems, underwater vehicle coordination, and persistent area coverage mission planning. Her most cited work, "Underwater multi-robot persistent area coverage mission planning" (2016, 17 citations), addresses a critical challenge highlighted during the search for the missing MH370 airplane: the high cost and human dependency of autonomous underwater vehicle (AUV) operations. Li’s major contribution lies in developing a mission planning strategy that enables multiple AUVs to collaboratively and persistently cover large underwater areas with minimal human intervention, significantly improving operational efficiency and reducing support costs. This work has direct implications for search-and-rescue missions, environmental monitoring, and underwater infrastructure inspection. Beyond this flagship paper, Li’s research advances the theory and practice of persistent autonomy, tackling the fundamental trade-offs between coverage completeness, energy constraints, and communication limitations in multi-robot teams. Her contributions are shaping the next generation of resilient, cost-effective robotic systems for critical underwater applications.