Mingxi Yang

China University of Mining and Technology

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About

Mingxi Yang is a researcher at the forefront of bio-inspired robotics and electromagnetic actuation systems. Their work focuses on advancing underwater unmanned technologies through the optimization of bionic robotic fish, with a particular emphasis on electromagnetic actuator design. Yang’s most cited paper, "Optimization Design Of Electromagnetic Actuator For Bionic Robotic Fish Based On Genetic Algorithm" (2022), introduces a novel approach to enhancing the performance of electromagnetic coils by applying genetic algorithms to parameter optimization. This contribution addresses critical challenges in the efficiency and maneuverability of biomimetic underwater vehicles, offering a mathematical framework that bridges theoretical design and practical application. While still early in their career, Yang’s research has garnered attention for its potential to revolutionize autonomous underwater systems, with their work cited in emerging studies on soft robotics and intelligent control. By integrating evolutionary computation with electromagnetic engineering, Yang is paving the way for more agile, energy-efficient robotic fish that could transform environmental monitoring, search-and-rescue missions, and marine exploration. Their innovative methodology marks a significant step toward realizing fully autonomous, bio-inspired underwater platforms.