EDITORIAL article
Front. Robot. AI
Sec. Field Robotics
This article is part of the Research TopicAutonomous Robotic Systems in Aquaculture: Research Challenges and Industry NeedsView all 8 articles
Editorial: Autonomous Robotic Systems in Aquaculture: Research Challenges and Industry Needs
Provisionally accepted
- 1NTNU, Trondheim, Norway
- 2Massachusetts Institute of Technology Sea Grant, Cambridge, United States
- 3SINTEF Ocean, Trondheim, Norway
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The contributions span the aquaculture value chain, addressing robotic design, underwater sensing, 16 navigation, fish-robot interaction, and welfare monitoring. Central to these efforts is developing intelligent 17 systems that operate reliably in complex and dynamic marine environments. By merging multi-sensor 18 perception, machine vision, and adaptive control, these technologies are redefining farm management and 19 advancing the vision of precision aquaculture. A key innovation is the Cyber-Enhanced Tank (Voskakis, et al.), a sophisticated experimental platform 22 combining event cameras, imaging sonars, and optical systems to simulate real aquaculture environments. This system enables non-invasive monitoring of fish behavior under controlled yet realistic conditions. It
Keywords: Aquaculture, Robotics, Fish-Machine Interaction, welfare, Machine Vision and AI methods
Received: 06 Nov 2025; Accepted: 11 Nov 2025.
Copyright: © 2025 Kelasidi, Triantafyllou and Ohrem. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Eleni Kelasidi, eleni.kelasidi@ntnu.no
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