Sim-to-Real RL for ASVs using SysID
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Sim-to-Real RL for ASVs using SysID. This research presents a framework for training reinforcement learning policies for Autonomous Surface Vehicles (ASVs) using system identification. The approach enables zero-shot sim-to-real transfer without prior hydrod…
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- arXiv Robotics — research abstractsSim-to-Real RL for ASVs using SysID
This research presents a framework for training reinforcement learning policies for Autonomous Surface Vehicles (ASVs) using system identification. The approach enables zero-shot sim-to-real transfer without prior hydrodynamic or propeller information, relying instead on a CAD model and open-water trajectories to approximate and refine vehicle dynamics and thruster parameters. Real-world deployment on a BlueBoat ASV demonstrates successful performance in path following and station-keeping tasks.
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