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vironment and an autonomy validation test bed. During the An Intelligent Future project, Frontier Robotics integrated its autonomous navi- “We’ve demonstrated, for the ? rst time, that one operator can gation software into the simulator, moving from small-scale safely and effectively oversee multiple ROVs across complex physical tank testing to expansive virtual ocean environ- subsea environments,” said Gordon Meadow, CEO of SeaBot ments. The integration enabled testing of autopilot-assisted Maritime. “The future is about empowering highly trained on- navigation, multiway point mission planning, SLAM-based shore operators to lead intelligent, connected systems rather localization, obstacle avoidance and both semi-autonomous than continuing to scale offshore crews.” and fully autonomous inspection work? ows within a realis- “Interfacing Frontier’s autonomous control system with GRi’s tic offshore setting. VROV simulation platform, created a realistic testbed for advanc-

The platform also allows deliberate introduction of failure ing safe, AI-supported offshore inspections. This demonstrates states, including autopilot degradation, camera malfunc- how simulation can be used to accelerate development while re- tion and environmental disturbances. Operators can rehearse ducing cost,” added Russ Pelley, President of GRi Simulations.

emergency intervention scenarios and assess how humans and While the funded case study focused on subsea inspection autonomous systems perform together under pressure, with- operations, the underlying architecture supports wider mari- out the cost or risk of offshore deployment. time autonomy applications. GRi’s VROV platform has dem-

GRi Simulation’s proprietary physics engine (GRiP) deliv- onstrated integration capability with autonomous surface ves- ers high-? delity dynamics and behavioral realism, including sel control systems, including the GuardianAI control system dynamic tether modelling, collision detection and interaction, developed by Marine AI, highlighting its adaptability across and con? gurable environmental conditions. both subsea and surface domains.

SeaBot Maritime is now leading the commercial translation As AI adoption accelerates across offshore energy, defense and of the platform into structured training and competency path- critical infrastructure inspection, the safe integration of autono- ways for offshore operators. mous systems is becoming one of the sector’s de? ning challenges.

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