Grasping Complex-Shaped and Thin Objects Using a Generative Grasping Convolutional Neural Network
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DOI: 10.3390/robotics12020041
Abstract: Vision-based pose detection and grasping complex-shaped and thin objects are challenging tasks. We propose an architecture that integrates the Generative Grasping Convolutional Neural Network (GG-CNN) with depth recognition to identify a suitable grasp pose. First,… read more here.
Keywords: thin objects; grasping convolutional; grasping complex; generative grasping ... See more keywords