Witrynaself-supervised learning of grasp poses byPinto & Gupta (2015). This prior work proposed to learn a network to pre-dict the optimal grasp orientation for a given image patch, trained with self-supervised data collected using a heuris-tic grasping system based on object proposals. In contrast to this prior work, our approach achieves … WitrynaGiven the training set, our algorithm learns to identify grasping regions in the images. More precisely, given the training set, the learning algorithm predicts the 2›d position of the grasp projected into the image plane. The algorithm uses a set of features of the image, which include edges and texture information, applied at various scales.

GRASP Design Patterns in Object-Oriented Design

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Sensors Free Full-Text Depth Image–Based Deep Learning of Grasp ...

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