Intelligent Fusion Method Based on BP Neural Network for Robot Suit Pressure Sensing Array Data

In order to eliminate the crosstalk influence existed among temperature, voltage fluctuation and sensor signal of robot tactile sensor array unit, the paper presented a sort of information fusion method in large scale sensor array based on BP neural network. By means of learning training with weight...

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Main Authors: Bing Guo, Xinli Deng
Format: Article
Language:English
Published: Bulgarian Academy of Sciences 2017-12-01
Series:International Journal Bioautomation
Subjects:
Online Access:http://www.biomed.bas.bg/bioautomation/2017/vol_21.4/files/21.4_03.pdf
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author Bing Guo
Xinli Deng
author_facet Bing Guo
Xinli Deng
author_sort Bing Guo
collection DOAJ
description In order to eliminate the crosstalk influence existed among temperature, voltage fluctuation and sensor signal of robot tactile sensor array unit, the paper presented a sort of information fusion method in large scale sensor array based on BP neural network. By means of learning training with weight for neural network, the method can effectively eliminate the crosstalk influence for output characteristics of pressure sensing array sensor among non-target parameters and large scale sensor signals such as the environment temperature, voltage disturbance and so on, and thereby it improves the stability and reliability of robot tactile sensing suit system. Laboratory tests demonstrated that the error of the suit pressure sensor array data is less than 5%. The experimental results show that the intelligent fusion method presented in this paper can be accepted in engineering application, and the method is be propitious to improve intelligent judgment and information utilization ratio of robot system.
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spelling doaj.art-a0e665d313614c9297b6f68e9f97c88d2022-12-21T20:35:11ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212017-12-01214305316Intelligent Fusion Method Based on BP Neural Network for Robot Suit Pressure Sensing Array DataBing Guo0Xinli DengChongqing Radio and TV University, Chongqing, ChinaIn order to eliminate the crosstalk influence existed among temperature, voltage fluctuation and sensor signal of robot tactile sensor array unit, the paper presented a sort of information fusion method in large scale sensor array based on BP neural network. By means of learning training with weight for neural network, the method can effectively eliminate the crosstalk influence for output characteristics of pressure sensing array sensor among non-target parameters and large scale sensor signals such as the environment temperature, voltage disturbance and so on, and thereby it improves the stability and reliability of robot tactile sensing suit system. Laboratory tests demonstrated that the error of the suit pressure sensor array data is less than 5%. The experimental results show that the intelligent fusion method presented in this paper can be accepted in engineering application, and the method is be propitious to improve intelligent judgment and information utilization ratio of robot system.http://www.biomed.bas.bg/bioautomation/2017/vol_21.4/files/21.4_03.pdfRobot tactileSensing neural networkRobot tactileSensor arrayIntelligent fusionData processing
spellingShingle Bing Guo
Xinli Deng
Intelligent Fusion Method Based on BP Neural Network for Robot Suit Pressure Sensing Array Data
International Journal Bioautomation
Robot tactile
Sensing neural network
Robot tactile
Sensor array
Intelligent fusion
Data processing
title Intelligent Fusion Method Based on BP Neural Network for Robot Suit Pressure Sensing Array Data
title_full Intelligent Fusion Method Based on BP Neural Network for Robot Suit Pressure Sensing Array Data
title_fullStr Intelligent Fusion Method Based on BP Neural Network for Robot Suit Pressure Sensing Array Data
title_full_unstemmed Intelligent Fusion Method Based on BP Neural Network for Robot Suit Pressure Sensing Array Data
title_short Intelligent Fusion Method Based on BP Neural Network for Robot Suit Pressure Sensing Array Data
title_sort intelligent fusion method based on bp neural network for robot suit pressure sensing array data
topic Robot tactile
Sensing neural network
Robot tactile
Sensor array
Intelligent fusion
Data processing
url http://www.biomed.bas.bg/bioautomation/2017/vol_21.4/files/21.4_03.pdf
work_keys_str_mv AT bingguo intelligentfusionmethodbasedonbpneuralnetworkforrobotsuitpressuresensingarraydata
AT xinlideng intelligentfusionmethodbasedonbpneuralnetworkforrobotsuitpressuresensingarraydata