Abstract: Learning object affordances is an effective tool in the field of robot learning. While the data-driven models investigate affordances of single or paired objects, there is a gap in the ...
Abstract: Performing dexterous tasks with a multi fingered robotic hand remains challenging. Tactile sensors provide touch states and object features for multifingered tasks, yet the variety in shapes ...
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