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Nozomi Akashi

1 accepted papers

2022

Physics-Informed Recurrent Neural Networks for Soft Pneumatic Actuators

RA-L 2022

Replacing sensors with indirect sensing techniques contributes to retaining the flexibility of soft robots. By combining physical models with recurrent neural networks (which we term a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"/> <bold xmlns:mml

Cited by 57SourceScholar