Papers
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2
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About
Ni Xing is a researcher whose work bridges the frontiers of biomimetic robotics and electromagnetic actuation, with a particular focus on advancing underwater unmanned systems. His key research areas include bionic robotic design, electromagnetic actuator optimization, and intelligent control algorithms. Xing’s major contribution lies in his innovative application of genetic algorithms to optimize electromagnetic coil parameters for bionic robotic fish, significantly enhancing their propulsion efficiency and maneuverability. His most cited paper, "Optimization Design Of Electromagnetic Actuator For Bionic Robotic Fish Based On Genetic Algorithm" (2022), has garnered 2 citations and serves as a foundational reference for researchers seeking to improve the performance of bio-inspired underwater vehicles. By mathematically modeling the electromagnetic actuator and systematically refining its design, Xing has provided a robust framework that reduces energy consumption while increasing thrust output. His work is particularly notable for its practical implications in autonomous underwater exploration and environmental monitoring. Xing’s research continues to inspire new generations of engineers and roboticists, offering a compelling pathway toward more agile and efficient bionic systems.
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Top Papers
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