University of Plymouth selects Robosys for advanced USV autonomy integration
Robosys Automation has signed a contract with the University of Plymouth (UoP) to deliver an advanced maritime autonomy solution for a C-Enduro uncrewed surface vessel (USV). Robosys will provide its Voyager AI autonomous navigation system (ANS), enabling the USV Bauza to seamlessly perform hydrographic and oceanographic surveying and training missions. The Royal Navy has awarded UoP a contract to supply the vessel, which will be equipped with Voyager AI to carry out efficient and safe over-the-horizon data gathering.
Voyager AI offers a fully integrated user experience, including mission planner, situational awareness tools such as radar, AIS and track overlays on ENC S57 charts, and autopilot functions with routing, waypoints, loitering, collision and obstacle avoidance, and anti-grounding. Robosys will also supply its new USV Remote Control Waistpack, providing full wireless remote control in all weather conditions from a local mothercraft or shoreside. Control can be seamlessly switched with the University’s remote operations centre (ROC).
Reliable and robust
According to Professor Chris Fogwill, executive dean of science and engineering, marine autonomy is now a critical element of the UK’s defence and resilience operations. With Plymouth named the National Centre for Marine Autonomy, the University is advancing innovative applications of this technology. He notes that the Voyager system is “proven globally as being reliable and robust,” and that Robosys’ continued development will bring “multiple benefits as we evolve and enhance our marine autonomy fleet.”
Robosys Automation CEO Adita Nawab described the agreement as an exciting milestone, with Voyager AI delivering an intuitive, integrated navigation and control solution for USVs such as Plymouth’s C-Enduro. The system is regarded as the world’s leading maritime AI software, providing advanced navigation, CADA and decision aid solutions to IMO Degree 4 Maritime Autonomy. Integration into the University’s C-Enduro USV is scheduled for Q3 2025.
