Papers
2
Total Citations
15
H-Index
2
About
Xinhao Li is a rising leader in bio-inspired robotics and underwater acoustics, whose work bridges the gap between biological swimming mechanics and advanced robotic systems. His primary research areas include bionic robotic propulsion, underwater acoustic simulation, and multi-sensor integration for autonomous marine vehicles. Li’s most notable contribution is the development of a manta ray robot that achieves both gliding and flapping propulsion, with an online optimization framework that mimics real-time biological adjustments. This work, published in 2023 and garnering 8 citations, addresses a critical gap in bionic robotics—moving beyond mere visual mimicry to functional emulation of fish swimming postures, which biological studies confirm is essential for superior aquatic locomotion. In 2025, Li further advanced the field by introducing a NeuS-assisted boundary element approach for underwater acoustic simulation from multi-view sonar images, a method that enhances sonar-based perception for autonomous navigation and has already attracted 7 citations. His interdisciplinary approach, combining computational geometry with fluid dynamics, positions him as a key innovator in making underwater robots more agile and perceptive. Li’s work is particularly impactful for students and researchers interested in the intersection of biomechanics, robotics, and acoustic sensing, offering practical pathways for designing next-generation autonomous underwater vehicles.
Research Focus
Key Achievements
Top Papers
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