Guanming Xie

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About

Guanming Xie is a leading researcher in bio-inspired robotics, with a primary focus on robotic fish and multi-agent formation control. His work bridges the gap between biological locomotion principles and engineered robotic systems, particularly investigating how schooling fish can achieve energy savings through coordinated movement. Xie’s most cited paper, “Energy Saving of Schooling Robotic Fish in Three-Dimensional Formations” (2021, 25 citations), provides groundbreaking experimental evidence that robotic fish can extract energy from neighbor-induced flows, extending classical two-dimensional formation theories into more realistic three-dimensional environments. This work has significant implications for designing energy-efficient autonomous underwater vehicle swarms. Xie also pioneers human-robot interaction for underwater robotics, as demonstrated in his paper “Gesture recognition based teleoperation framework of robotic fish” (2016, 10 citations), which develops intuitive control interfaces that allow operators to command robotic fish through natural hand gestures. This research makes underwater robots more accessible to non-experts and enhances their practical deployment. Xie’s contributions are notable for combining rigorous hydrodynamic analysis with practical engineering solutions, positioning him as an important figure in the advancement of bio-inspired underwater robotics and swarm intelligence.