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Wednesday / February 28. 2024
HomeLive StockAcquacultureProbotic secures patent for autonomous fish farm cleaning system

Probotic secures patent for autonomous fish farm cleaning system

The fish farm cleaning system can work on both land-based and traditional net pen operations

Probotic a Norway-based aquatech company has secured a patent for an autonomous fish farm cleaning system that can work on both land-based and traditional net pen operations.

Probotic’s autonomous cleaning vessel for cleaning an aquatic organism containing a structure of an aquatic organism breeding farm comprises a body, a cleaning system provided at least partially outside of the body, a propulsion system for moving the vessel relative to the structure, and a navigation system for controlling the propulsion system. The navigation system comprises a route planner, an orientation sensor for measuring a parameter representative of the current orientation of the vessel, and a depth sensor for measuring a parameter representative of the current depth of the vessel. A central processing unit controls the propulsion system based on information from the orientation sensor, the depth sensor, and the route planner. The central processing unit is configured to control the propulsion system to keep the vessel in physical contact with the structure.

 “We are thrilled to have received this new patent in Norway. It is a testament to our team’s hard work and dedication and a major step forward in our efforts to revolutionise the aquaculture industry. This patent is just part of the beginning for Probotic, and we have many more exciting developments and news in the pipeline,” said Mikkel Pedersen, CEO of Probotic,

Probotic’s innovative system combines advanced robotics and artificial intelligence to clean fish pens autonomously and efficiently. The company has conducted real-world tests of the system during the last eight months in partnership with Ballangen Sjøfarm. It has made significant improvements to ensure the system can withstand harsh conditions over time.

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