TY - GEN
T1 - Identification and Attitude Estimation of Intelligent Welding Special-shaped Tubes Based on Two-Channel Convolutional Neural Network
AU - Xie, Tao
AU - Wang, Ke
AU - Li, Ruifeng
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - Facing toward the development direction of intelligent aerospace manufacturing, the paper, based on deep learning, proposes a model with two-channel convolutional neural network, aiming to solve the bottleneck of flexible robots which is used for intelligent laser welding. One channel is used to classify the special-shaped tubes and the other channel is used to estimate the two-dimensional attitude of the special-shaped tubes. Experiments show that the accuracy of identification for the model on the test set of special-shaped tube can reach 93.6%, while the accuracy of traditional identification method is only 86.3%.Meanwhile, the average error of attitude estimation is 5.49°, while the average error of the traditional method for attitude estimation is 7.69°. According to the data outcome, the model, compared to the traditional method, shows obvious excellence.
AB - Facing toward the development direction of intelligent aerospace manufacturing, the paper, based on deep learning, proposes a model with two-channel convolutional neural network, aiming to solve the bottleneck of flexible robots which is used for intelligent laser welding. One channel is used to classify the special-shaped tubes and the other channel is used to estimate the two-dimensional attitude of the special-shaped tubes. Experiments show that the accuracy of identification for the model on the test set of special-shaped tube can reach 93.6%, while the accuracy of traditional identification method is only 86.3%.Meanwhile, the average error of attitude estimation is 5.49°, while the average error of the traditional method for attitude estimation is 7.69°. According to the data outcome, the model, compared to the traditional method, shows obvious excellence.
KW - Attitude estimation
KW - Convolutional neural network
KW - Identification
KW - Special-shaped tube
UR - https://www.scopus.com/pages/publications/85091595697
U2 - 10.1109/CCDC49329.2020.9164113
DO - 10.1109/CCDC49329.2020.9164113
M3 - 会议稿件
AN - SCOPUS:85091595697
T3 - Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
SP - 1457
EP - 1462
BT - Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd Chinese Control and Decision Conference, CCDC 2020
Y2 - 22 August 2020 through 24 August 2020
ER -