Development of modular bio-inspired autonomous underwater vehicle for close subsea asset inspection

Gorma, Wael and Post, Mark A. and White, James and Gardner, James and Luo, Yang and Wright, Marvin and Kim, Jongrae and Mitchell, Paul D. and Morozs, Nils and Xiao, Qing (2021) Development of modular bio-inspired autonomous underwater vehicle for close subsea asset inspection. Applied Sciences, 11 (12). 5401. ISSN 2076-3417

[thumbnail of Gorma-etal-MDPI-AS-2021-Development-of-modular-bio-inspired-autonomous-underwater-vehicle]
Text. Filename: Gorma_etal_MDPI_AS_2021_Development_of_modular_bio_inspired_autonomous_underwater_vehicle.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (49MB)| Preview


    To reduce human risk and maintenance costs, Autonomous Underwater Vehicles (AUVs) are involved in subsea inspections and measurements for a wide range of marine industries such as offshore wind farms and other underwater infrastructure. Most of these inspections may require levels of manoeuvrability similar to what can be achieved by tethered vehicles, called Remotely Operated Vehicles (ROVs). To extend AUV intervention time and perform closer inspection in constrained spaces, AUVs need to be more efficient and flexible by being able to undulate around physical constraints. A biomimetic fish-like AUV known as RoboFish has been designed to mimic propulsion techniques observed in nature to provide high thrust efficiency and agility to navigate its way autonomously around complex underwater structures. Building upon advances in acoustic communications, computer vision, electronics and autonomy technologies, RoboFish aims to provide a solution to such critical inspections. This paper introduces the first RoboFish prototype that comprises cost-effective 3D printed modules joined together with innovative magnetic coupling joints and a modular software framework. Initial testing shows that the preliminary working prototype is functional in terms of water-tightness, propulsion, body control and communication using acoustics, with visual localisation and mapping capability.

    ORCID iDs

    Gorma, Wael, Post, Mark A., White, James, Gardner, James, Luo, Yang ORCID logoORCID:, Wright, Marvin, Kim, Jongrae, Mitchell, Paul D., Morozs, Nils and Xiao, Qing ORCID logoORCID:;