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simmediumsim-to-realmetric · varies

Swim2Real: VLM-Guided System Identification for Sim-to-Real Transfer

Description

We present Swim2Real, a pipeline that calibrates a 16-parameter robotic fish simulator from swimming videos using vision-language model (VLM) feedback, requiring no hand-designed search stages. Calibrating soft aquatic robots is particularly challenging because nonlinear fluid-structure coupling makes the parameter landscape chaotic, simplified fluid models introduce a persistent sim-to-real gap, and controlled aquatic experiments are difficult to reproduce. Prior work on this platform required

Source

http://arxiv.org/abs/2603.20827v1