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Texture Discrimination with Artificial Whiskers in the Robot-Rat Psikharpax

  • Steve N’Guyen
  • Patrick Pirim
  • Jean-Arcady Meyer
Part of the Communications in Computer and Information Science book series (CCIS, volume 127)

Abstract

We describe a novel algorithm for texture discrimination which we tested on a robot using an artificial whisker system. Experiments on both fixed head and mobile platform have shown that this system is efficient and robust, with greater behavioral capacities than previous similar approaches, thus, demonstrating capabilities to complement or supply vision. Moreover, results tends to show that the length and number of whiskers may be an important parameter for texture discrimination. From a more fundamental point of view these results suggest that two currently opposing hypotheses to explain texture recognition in rats, namely the “kinetic signature hypothesis” and the “resonance hypothesis”, may be, in fact, complementary.

Keywords

Mobile Robot Multi Layer Perceptron Haptic System Texture Discrimination Equivalent Noise Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Steve N’Guyen
    • 1
    • 2
  • Patrick Pirim
    • 2
  • Jean-Arcady Meyer
    • 1
  1. 1.Institut des Systèmes Intelligents et de RobotiqueUniversité Pierre et Marie Curie-Paris 6, CNRS UMR 7222Paris Cedex 05France
  2. 2.Brain Vision SystemsParisFrance

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