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PARTNERSHIP ADDS INTELLIGENT VESSEL SYSTEMS TO EDUCATIONAL CURRICULUM

Friday, July 31, 2020 

Sea Machines Robotics, a US developer of autonomous command and control systems for surface vessels, has partnered with Castine-based Maine Maritime Academy (MMA) and representatives of the US Maritime Administration (MARAD)ís Maritime Environmental and Technical Assistance (META) Program to bring hands-on education about autonomous marine systems into the MMA curriculum.

The Academy will provide instruction to cadets using MMA’s Coast Guard cutter-class workboat R/V Quickwater, which is being outfitted with Sea Machines’ SM300 autonomous control system, and a shoreside command station located on campus. With education of the next generation of mariners being the primary focus of this partnership, the group will demonstrate and document autonomous vessel technology’s ability to increase at-sea situational awareness, safety, energy efficiency, operational performance and the environmental impact thereof.

MMA students will command and control the autonomous vessel in the Castine Harbor and surrounding areas from the shoreside station. While learning about autonomous systems and their impact on the future of the commercial marine industry, project managers and MMA students will measure the vessel’s emissions output to determine the precise efficiencies gained, documenting differences among various engines, equipment and sea states. During these hands-on trials, participants will collect additional data about the vessel’s situational awareness and operational performance, predictability and safety during missions.

Sea Machines CEO Michael G. Johnson said: "The importance of this partnership extends beyond providing quantitative data for what we already know – that autonomous technology can be leveraged to improve vessels’ operational efficiency, productivity and predictability while reducing at-sea navigation incidents. This project is ultimately about preparing future merchant marine officers with the training and skills they will need to command the digital, data-driven commercial fleets of the 21st century. We also anticipate that this initiative will further accelerate the multi-user operational review and validation of human-in-the-loop autonomous systems. MMA and MARAD have been tremendous partners and we look forward to working with them on this project and others like it in the future.”

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