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Exploiting Sensor Symmetry for Generalized Tactile Perception in Biomimetic Touch

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)1218-1225
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume2
Journal issue2
Early online date8 Feb 2017
DOIs
StatePublished - 1 Apr 2017

Abstract

Tactile perception methods rely on creating mappings from tactile data to percepts. In many approaches to artificial tactile perception, this involves extensive sampling of the object during the training phase. We introduce here a method to instead generalize tactile features across different orientations. This method is applied to the TacTip v2, a three-dimensional printed optical tactile sensor with internal pins acting as taxels arranged with a 12-fold rotational symmetry. By rotating a small sample of tactile images, we are able to generalize tactile stimuli to new orientations. The method was validated across several tactile stimuli on an edge orientation classification task. Data were then generalized for a combination of orientations and locations of one of these stimuli, and this dataset was used as the basis for an exploratory control task: contour following around a circular disk. The generalization method leads to a strong reduction in the time needed to gather training data and only a moderate increase in classification error, and is particularly suited for multidimensional tactile data sampling in complex tasks such as tactile manipulation. We expect the method to generalize well to other tactile stimuli.

    Research areas

  • force and tactile sensing, Biomimetics

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via IEEE at https://doi.org/10.1109/LRA.2017.2665692 . Please refer to any applicable terms of use of the publisher.

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    License: CC BY

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