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Whisker-Based Texture Discrimination on a Mobile Robot

Identifieur interne : 006589 ( Main/Merge ); précédent : 006588; suivant : 006590

Whisker-Based Texture Discrimination on a Mobile Robot

Auteurs : Miriam Fend [Suisse]

Source :

RBID : ISTEX:35E33A8D316B99793A13A01F9FD2BA335DCA3237

Abstract

Abstract: Sensing in the dark is a useful but challenging task both for biological agents and robots. Rats and mice use whiskers for the active exploration of their environment. We have built a robot equipped with two active whisker arrays and tested whether they can provide reliable texture information. While it is relatively easy to classify data recorded at a specified distance and angle to the object, it is more challenging to achieve texture discrimination on a mobile robot. We used a standard neural network classifier to show that it is in principle possible to discriminate textures using whisker sensors even under real-world conditions.

Url:
DOI: 10.1007/11553090_31

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ISTEX:35E33A8D316B99793A13A01F9FD2BA335DCA3237

Le document en format XML

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