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...
Main Authors: | , |
---|---|
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 |
_version_ | 1818843419855814656 |
---|---|
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. |
first_indexed | 2024-12-19T04:57:35Z |
format | Article |
id | doaj.art-a0e665d313614c9297b6f68e9f97c88d |
institution | Directory Open Access Journal |
issn | 1314-1902 1314-2321 |
language | English |
last_indexed | 2024-12-19T04:57:35Z |
publishDate | 2017-12-01 |
publisher | Bulgarian Academy of Sciences |
record_format | Article |
series | International Journal Bioautomation |
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 |