Open Access[Retracted] Multifunctional Robot Grasping System Based on Deep Learning and Image Processing
Author(s) -
XinYu Zhang,
Kai Ye
Publication year - 2022
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2022/9273474
Subject(s) - computer science , artificial intelligence , robot , convolutional neural network , computer vision , object (grammar) , set (abstract data type) , image processing , function (biology) , cognitive neuroscience of visual object recognition , deep learning , object detection , artificial neural network , image (mathematics) , pattern recognition (psychology) , biology , programming language , evolutionary biology
This paper firstly introduces the general architecture of the multifunctional harvesting robot grasping system; then, deep learning is used to investigate the object target recognition, and a set of target detection algorithm based on convolutional neural network is implemented; then, image processing technology is used to realize the function of target object localization, which can guide the multifunctional harvesting robot to complete the picking of the target multifunctional. The experimental results show that the multifunctional harvesting robot has a small calculation error of multifunctional coordinates and has a strong multifunctional recognition and positioning capability.
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