Drawing inspiration from how humans interact with objects through touch, University of California, Berkeley researchers developed a deep learning-based perception framework that can recognize over 98 different objects from touch. According to the team, this is the first project that addresses this type of robot-object interaction using only touch at a large-scale. ��When we see a soft toy��
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