Rui Mao

Peking University, Xuzhou University of Technology

Papers

Total Citations

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About

Rui Mao is a researcher at the forefront of bio-inspired robotics and intelligent sensing systems. His primary research areas include robotic fish locomotion, energy-efficient formation swimming, and environmental detection robotics. Mao’s most notable contribution is his work on schooling robotic fish, where he demonstrated that three-dimensional formations can yield significant energy savings—a finding with profound implications for autonomous underwater vehicle design. His 2021 paper on this topic, which has accumulated 25 citations, challenges long-held assumptions about two-dimensional formations and provides mechanistic insights into how aquatic robots can harness neighbor-induced flows. In parallel, Mao has advanced environmental robotics through the development of a multi-channel simultaneous data acquisition system with variable sampling rates, enabling more precise spatial mapping of hazardous gas concentrations. This work, though less cited, addresses a critical need for real-time environmental monitoring in dangerous settings. Mao’s research bridges fundamental fluid dynamics with practical robotic applications, offering a compelling vision for energy-efficient, swarm-capable underwater robots that could revolutionize ocean exploration, environmental surveillance, and autonomous operations in complex aquatic environments.