The Alan Turing Institute, Lloyd’s Register (LR), and the Lloyd’s Register Foundation are collaborating on research aimed at the safe integration of autonomous maritime technology. Their goal is to develop an open-source systems engineering framework that will outline development activities for Maritime Autonomous Surface Ships (MASS). This research will encompass the entire lifecycle of autonomous systems, including design definition, architecture analysis, machine learning DevOps, and testing. The framework is designed to assist developers, manufacturers, and operators in ensuring that these systems adhere to safety and security standards.
While the forthcoming International Maritime Organization (IMO) MASS Code will set the context for maritime autonomy, the partners emphasize the necessity for more comprehensive guidance on software applications and engineering processes. The initiative will also focus on enhancing Autonomous Navigation Systems (ANS) to improve fuel efficiency through AI-driven route planning and bolster safety through accident prevention mechanisms.
Dr. Chris Nathan from the Alan Turing Institute highlighted the importance of robust standards for sustainability improvements in autonomous systems. The project’s findings will contribute to a ShipRight procedure, offering guidance on system design and software principles to maintain safety and compliance for MASS and ANS throughout their operational lifecycle.
Joseph Morelos from Lloyd’s Register expressed commitment to developing standards that facilitate collaboration among various maritime stakeholders, including shipyards and software providers. The current phase involves engaging with developers of MASS and ANS to identify their needs and establish a comprehensive systems engineering framework.
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