Ruixiang Zhu

Beijing Jiaotong University, Shanghai Maritime University

Papers

Total Citations

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About

Ruixiang Zhu is a researcher at the forefront of bio-inspired robotics and computer vision, with a focus on developing innovative solutions for underwater propulsion and intelligent image analysis. His primary research areas include bio-inspired thruster design, soft robotics, and deep learning for visual perception. Zhu’s major contribution lies in the creation of a cavity-membrane-based water-jet thruster, inspired by the multidirectional accelerating capabilities of aquatic creatures like flying squid and jellyfish. This work, published in 2023 and garnering 5 citations, advances the development of aquatic unmanned aerial vehicles (AquaUAVs) and underwater soft robots, enabling both rapid acceleration and sustained cruising. Additionally, Zhu has explored foreground segmentation with enhanced attention mechanisms, a computer vision technique that improves object detection in complex scenes, earning 2 citations. His interdisciplinary approach bridges mechanical engineering and artificial intelligence, offering practical pathways for more agile and efficient underwater robotics. Zhu’s achievements highlight his potential to shape future autonomous systems, making his work a valuable reference for students and researchers in robotics and machine learning.