Grasp2Vec: Learning Object Representations from Self-Supervised Grasping

CoRL, pp. 99-112, 2018.

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Abstract:

Well structured visual representations can make robot learning faster and can improve generalization. In this paper, we study how we can acquire effective object-centric representations for robotic manipulation tasks without human labeling by using autonomous robot interaction with the environment. Such representation learning methods can...More

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