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Learning-based control of soft robots

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If you have a question about this talk, please contact Xiaodong Cheng.

Soft robotic technologies are becoming increasingly prevalent in the design and development of robots. Unlike robots designed with rigid components, soft robotic systems introduce novel modelling challenges due to their large degrees of freedom, nonlinearities, and complex geometries. This talk presents how learning-based approaches can be used to model and eventually control these complex systems. Recent challenges and opportunities in this growing field are presented and discussed.

This talk is part of the CUED Control Group Seminars series.

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