Structuring of tactile sensory information for category formation in robotics palpation
This paper proposes a framework to investigate the influence of physical interactions to sensory information, during robotic palpation. We embed a capacitive tactile sensor on a robotic arm to probe a soft phantom and detect and classify hard inclusions within it. A combination of PCA and K-Means cl...
Main Authors: | , , , |
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Format: | Journal article |
Language: | English |
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Springer
2020
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_version_ | 1797079690694885376 |
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author | Scimeca, L Maiolino, P Bray, E Iida, F |
author_facet | Scimeca, L Maiolino, P Bray, E Iida, F |
author_sort | Scimeca, L |
collection | OXFORD |
description | This paper proposes a framework to investigate the influence of physical interactions to sensory information, during robotic palpation. We embed a capacitive tactile sensor on a robotic arm to probe a soft phantom and detect and classify hard inclusions within it. A combination of PCA and K-Means clustering is used to: first, reduce the dimensionality of the spatiotemporal data obtained through the probing of each area in the phantom; second categorize the re-encoded data into a given number of categories. Results show that appropriate probing interactions can be useful in compensating for the quality of the data, or lack thereof. Finally, we test the proposed framework on a palpation scenario where a Support Vector Machine classifier is trained to discriminate amongst different types of hard inclusions. We show the proposed framework is capable of predicting the best-performing motion strategy, as well as the relative classification performance of the SVM classifier, solely based on unsupervised cluster analysis methods. |
first_indexed | 2024-03-07T00:49:22Z |
format | Journal article |
id | oxford-uuid:85d53497-dd18-40a6-95a7-a2971638f34c |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T00:49:22Z |
publishDate | 2020 |
publisher | Springer |
record_format | dspace |
spelling | oxford-uuid:85d53497-dd18-40a6-95a7-a2971638f34c2022-03-26T22:00:12ZStructuring of tactile sensory information for category formation in robotics palpationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:85d53497-dd18-40a6-95a7-a2971638f34cEnglishSymplectic ElementsSpringer2020Scimeca, LMaiolino, PBray, EIida, FThis paper proposes a framework to investigate the influence of physical interactions to sensory information, during robotic palpation. We embed a capacitive tactile sensor on a robotic arm to probe a soft phantom and detect and classify hard inclusions within it. A combination of PCA and K-Means clustering is used to: first, reduce the dimensionality of the spatiotemporal data obtained through the probing of each area in the phantom; second categorize the re-encoded data into a given number of categories. Results show that appropriate probing interactions can be useful in compensating for the quality of the data, or lack thereof. Finally, we test the proposed framework on a palpation scenario where a Support Vector Machine classifier is trained to discriminate amongst different types of hard inclusions. We show the proposed framework is capable of predicting the best-performing motion strategy, as well as the relative classification performance of the SVM classifier, solely based on unsupervised cluster analysis methods. |
spellingShingle | Scimeca, L Maiolino, P Bray, E Iida, F Structuring of tactile sensory information for category formation in robotics palpation |
title | Structuring of tactile sensory information for category formation in robotics palpation |
title_full | Structuring of tactile sensory information for category formation in robotics palpation |
title_fullStr | Structuring of tactile sensory information for category formation in robotics palpation |
title_full_unstemmed | Structuring of tactile sensory information for category formation in robotics palpation |
title_short | Structuring of tactile sensory information for category formation in robotics palpation |
title_sort | structuring of tactile sensory information for category formation in robotics palpation |
work_keys_str_mv | AT scimecal structuringoftactilesensoryinformationforcategoryformationinroboticspalpation AT maiolinop structuringoftactilesensoryinformationforcategoryformationinroboticspalpation AT braye structuringoftactilesensoryinformationforcategoryformationinroboticspalpation AT iidaf structuringoftactilesensoryinformationforcategoryformationinroboticspalpation |