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Fri, Apr

SeaBot Maritime, GRi Simulations and Frontier Robotics Feature Human-AI Autonomous Maritime Training Platform

Offshore Engineer
Across offshore energy, commercial maritime and defense, deploying people and equipment into subsea environments remains complex, specialist and high-risk work, with individual campaigns often exceeding $130,000 per mission. As autonomous systems become

Across offshore energy, commercial maritime and defense, deploying people and equipment into subsea environments remains complex, specialist and high-risk work, with individual campaigns often exceeding $130,000 per mission. As autonomous systems become central to maritime operations, SeaBot Maritime, GRi Simulations Inc. and Frontier Robotics have delivered a new simulation platform that enables operators to safely train and validate AI-enabled systems before deployment at sea.

Developed as part of a UK government-funded initiative awarded by the AI Security Institute, the platform allows autonomous subsea systems to be tested within a realistic digital offshore environment prior to live deployment. The project, titled “Evolving Human-AI Competencies: Workforce Development for Building Systemically Safe Cyber-Physical Systems,” was led academically by King’s College London, with SeaBot Maritime directing operational and training design to ensure real-world maritime relevance.

The initiative strengthens how offshore operations are prepared and delivered, pairing advanced simulation with highly trained operators to enhance safety, readiness and operational resilience.

VROV

At the core of the platform is GRi Simulation’s VROV (Virtual Remotely Operated Vehicle) system, a real-time marine operations simulator used globally for subsea training. For the project, GRi configured VROV to create a digital twin of an offshore wind farm inspection using a Saab

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