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Abstract: This letter presents a deep learning framework to predict the affordances of object parts for robotic manipulation. The framework segments affordance maps by jointly detecting and localizing ...
Abstract: Soft robotic technologies offer a promising solution for unconstructed applications due to their complete softness, robustness, and flexibility. In this letter, we explore the design and ...
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