|Table of Contents|

Citation:
　Hongde Qin,Xin Liu,Yifan Xue,et al.Review of Hybrid Aerial-Aquatic Vehicles: Bio-Inspired Design and Drone-UUV Integration for Cross-Domain Locomotion Characteristic[J].Journal of Marine Science and Application,2026,(5):1456-1470.[doi:10.1007/s11804-026-00796-8]
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Review of Hybrid Aerial-Aquatic Vehicles: Bio-Inspired Design and Drone-UUV Integration for Cross-Domain Locomotion Characteristic

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Title:
Review of Hybrid Aerial-Aquatic Vehicles: Bio-Inspired Design and Drone-UUV Integration for Cross-Domain Locomotion Characteristic
Author(s):
Hongde Qin;  Xin Liu;  Yifan Xue;  Yunsai Chen;  Zhongben Zhu
Affilations:
Author(s):
Hongde Qin;  Xin Liu;  Yifan Xue;  Yunsai Chen;  Zhongben Zhu
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China
Keywords:
Hybrid aerial-aquatic vehicles; Bio-inspired design; Drone-UUV integration; Cross-domain locomotion
分类号:
-
DOI:
10.1007/s11804-026-00796-8
Abstract:
With the growing demand for cross-domain operations in fields such as environmental monitoring, emergency response, and scientific exploration, hybrid aerial-aquatic vehicles (HAAVs) have emerged as a cutting-edge research direction integrating bio-inspired principles and multi-domain robotic technologies. This paper systematically reviews the technological trajectories of HAAVs: bio-inspired designs achieve efficient air-water transitions through flapping-wing (e.g., flying fish/insect-inspired) and water-jet (e.g., cephalopod-inspired) propulsion systems, enhanced by morphing structures (e.g., bistable airfoils, foldable wings). Meanwhile, drone-UUV integrated systems employ unimodal (multirotor/fixed-wing) and multimodal architectures, optimizing multi-domain adaptability through hybrid thrust mapping and active buoyancy control. Key challenges remain in cross-medium dynamic coupling, energy efficiency, and communication reliability. This paper provides theoretical foundations and technical roadmaps for the bio-inspired design and system integration of next-generation intelligent cross-domain platforms.

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Memo

Memo:
Received date:2025-4-22;Accepted date:2026-1-7。<br>Foundation item:Supported in part by the National Natural Science Foundation of China under Grant Nos. 51939003 and 52301364, Shandong Provincial Natural Science Foundation under Grant No. ZR2023QE027.<br>Corresponding author:Yifan Xue,E-mail:xueyifan@hrbeu.edu.cn
Last Update: 2026-11-04