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In Roberto Calandra's "Fall 2022 GRASP SFI Roberto Calandra, Meta AI" video, he discusses the design and use of a fast simulator for vision-based tactile sensors. The video also discusses the open source Pi Dutch machine learning library dedicated to touch processing, and how it can be used to train and compare models without having to write boilerplate code.
In the video, Roberto Calandra discusses the value of touch sensing for reducing uncertainty. He argues that touch is more effective than other senses in this regard, and that this hypothesis is likely to be true.
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