GraspCNN: Real-Time Grasp Detection Using a New Oriented Diameter Circle Representation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2950535
Abstract: This paper proposes GraspCNN, an approach to grasp detection where a feasible robotic grasp is detected as an oriented diameter circle in RGB image, using a single convolutional neural network. By detecting robotic grasps as… read more here.
Keywords: oriented diameter; grasp; diameter circle; grasp detection ... See more keywords
Oriented diameter of the complete tripartite graph
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DOI: 10.2298/fil2502675l
Abstract: Given a connected and bridgeless graph G, let D(G) be the set of all strong orientations of G, and define the oriented diameter of G to be ? (G) = min{diam(D) | D ? D(G)}.… read more here.
Keywords: diameter complete; complete tripartite; oriented diameter; tripartite graph ... See more keywords