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All You Need Is Low Fidelity: Zero-Shot Sim-to-Real of Learned Robotic Fish Control
Complex tasks for underwater robots remain limited by the capabilities of their controllers. Learning a better one for a soft, underactuated robotic fish trades simulator cost against fidelity. We show that an intentionally low-fidelity simulator is enough: a stateless, quasi-steady fluid model with
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