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10 November 2022 Recognition and gripping strategy of robot quick change tool based on CNN
Quan Ye
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Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 123482R (2022) https://doi.org/10.1117/12.2641475
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China
Abstract
This paper takes the quick change tool recognition system of robot workstation as the research object. Through the quick change tool recognition method based on convolutional neural network, the feature extraction and classification recognition of traditional methods are combined to realize the accurate recognition of quick change tools. The experimental results confirm that the convolutional neural network is feasible and effective as an accurate classification and recognition method of quick change tool, but in industrial applications, more complete and large amounts of data are still needed to train the network in order to improve the accuracy and generalization ability of recognition.
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Quan Ye "Recognition and gripping strategy of robot quick change tool based on CNN", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 123482R (10 November 2022); https://doi.org/10.1117/12.2641475
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KEYWORDS
Convolution
Neural networks
Convolutional neural networks
Image processing
Feature extraction
Target detection
Image analysis
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