Unmanned Underwater Vehicle
Unmanned Underwater Vehicles (UUVs) are robotic systems designed for autonomous operation in aquatic environments, primarily aiming to improve efficiency and safety in underwater tasks such as inspection, mapping, and exploration. Current research emphasizes enhancing UUV navigation and control through advanced sensor fusion (integrating vision and acoustic data), refined control algorithms (like Bayesian optimization and neural network-based approaches including fuzzy logic and sliding mode control), and bio-inspired designs mimicking efficient aquatic locomotion. These advancements are crucial for expanding the capabilities of UUVs in diverse applications, including aquaculture, oceanographic research, and underwater infrastructure maintenance.
Papers
Framework for Robust Localization of UUVs and Mapping of Net Pens
David Botta, Luca Ebner, Andrej Studer, Victor Reijgwart, Roland Siegwart, Eleni Kelasidi
Biology and Technology Interaction: Study identifying the impact of robotic systems on fish behaviour change in industrial scale fish farms
Linn Danielsen Evjemo, Qin Zhang, Hanne-Grete Alvheim, Herman Biørn Amundsen, Martin Føre, Eleni Kelasidi