Object Grasping Detection Based on Residual Convolutional Neural Network
TP3-05; Robotic grasps play an important role in the service and industrial fields, and the robotic arm can grasp the object properly depends on the accuracy of the grasping detection result. In order to predict grasping detection positions for known or unknown objects by a modular robotic system, a...
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Published in | 东华大学学报(英文版) Vol. 39; no. 4; pp. 345 - 352 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
College of Information Science and Technology,Donghua University,Shanghai 201620,China
30.08.2022
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Subjects | |
Online Access | Get full text |
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