Scalable sim-to-real transfer of soft robot designs

23 Nov 2019Sam KriegmanAmir Mohammadi NasabDylan ShahHannah SteeleGabrielle BraninMichael LevinJosh BongardRebecca Kramer-Bottiglio

The manual design of soft robots and their controllers is notoriously challenging, but it could be augmented---or, in some cases, entirely replaced---by automated design tools. Machine learning algorithms can automatically propose, test, and refine designs in simulation, and the most promising ones can then be manufactured in reality (sim2real)... (read more)

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