VSAP Lab

Aquaculture Robotics

Autonomous Underwater Robotic System for Aquaculture Applications

Computer vision with ROVs to detect fish net defects and assess fish health for UAE aquaculture.

UAE aims to meet fish demand through expanding aquaculture infrastructure. This project creates an autonomous underwater robotic system for efficient aquafarm monitoring, using advanced computer vision with ROVs to detect fish net defects and assess fish health.

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Aquaculture Robotics

Related Publications

F. Renda, A. Mathew and D. F. Talegon, "Dynamics and Control of Soft Robots With Implicit Strain Parametrization," IEEE Robotics and Automation Letters, vol. 9, no. 3, pp. 2782-2789, March 2024.

DOI

P. Pustina, C. D. Santina, F. Boyer, A. De Luca and F. Renda, "Input Decoupling of Lagrangian Systems via Coordinate Transformation," IEEE Transactions on Robotics, 2024.

DOI

Z. Chen et al., "Data-Driven Methods Applied to Soft Robot Modeling and Control: A Review," IEEE Transactions on Automation Science and Engineering, 2024.

DOI

Waseem Akram, Taimur Hassan, Hamed Toubar, Muhayyuddin Ahmed, Nikola Miskovic, Lakmal Seneviratne, and Irfan Hussain, "Aquaculture defects recognition via multi-scale semantic segmentation," Expert Systems with Applications 237, 2024.

Bakht, A.B. et al., "MuLA-GAN: Multi-level attention GAN for enhanced underwater visibility," Ecological Informatics, 2024.

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