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MANIPULATION

HGG-CNN: The Generation of the Optimal Robotic Grasp Pose Based on Vision

Shiyin Qiu, David Lodder, Feifan Du

Year
2020
Citations
2

Abstract

Robotic grasping is an important issue in the field of robot control. In order to solve the problem of optimal grasping pose of the robotic arm, based on the Generative Grasping Convolutional Neural Network (GG-CNN), a new co... | Find, read and cite all the research you need on Tech Science Press

Keywords

GRASPComputer scienceConvolutional neural networkArtificial intelligenceRobotField (mathematics)Computer visionRobotic handGenerative grammarOrder (exchange)

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