Discrimination-Based Perception for Robot Touch

Emma L Roscow*, Chris Kent, Ute Leonards, Nathan F. Lepora

*Corresponding author for this work

Research output: Contribution to conferenceConference Abstractpeer-review

1 Citation (Scopus)

Abstract

Biomimetic tactile sensors often need a large amount of training to distinguish between a large number of different classes of stimuli. But when stimuli vary in one continuous property such as sharpness, it is possible to reduce training by using a discrimination approach rather than a classification approach. By presenting a biomimetic tactile sensing device, the TacTip, with a single exemplar of edge sharpness, the sensor was able to discriminate between unseen stimuli by comparing them to the trained exemplar. This technique reduces training time and may lead to more biologically relevant models of perceptual learning and discrimination.
Original languageEnglish
Pages498-502
Number of pages5
DOIs
Publication statusPublished - 2016
Event5th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2016 - Edinburgh, United Kingdom
Duration: 19 Jul 201622 Jul 2016

Conference

Conference5th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2016
CountryUnited Kingdom
CityEdinburgh
Period19/07/1622/07/16

Structured keywords

  • Memory
  • Cognitive Science

Keywords

  • Biomimetics
  • Psychophysics
  • Robotics
  • Tactile sensing

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