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About

Minglei Xiong is an emerging researcher specializing in autonomous underwater robotics, swarm intelligence, and bio-inspired systems. His work sits at a compelling intersection of robotics engineering, evolutionary game theory, and multi-agent coordination, addressing some of the most challenging problems in underwater autonomous systems. Xiong's most significant contributions center on developing cooperative strategies for underwater robot swarms. His 2022 paper "Simple Agents, Smart Swarms" (7 citations) tackles the fundamental trade-off between deploying few high-capacity robots versus many low-cost agents in unknown underwater environments — a problem uniquely complicated by the harsh subsea domain. Building on this foundation, his 2023 work on swarm game theory and task allocation (6 citations) introduced novel frameworks for organizing robot collectives to handle uncertain, dynamic missions. A distinctive thread in Xiong's research is his application of evolutionary dynamics and division of labor theory to robotic swarms, blending biological inspiration with rigorous mathematical modeling. His earlier work on biomimetic robotic fish further demonstrates his breadth, with practical applications in water area supervision, including targeted deployments in Yunnan Province, China. Though his citation record is still growing, Xiong's interdisciplinary approach — bridging theoretical game dynamics with real-world underwater robotics — positions him as a promising voice in autonomous marine systems research.