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 language | English |
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Pages | 498-502 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2016 |
Event | 5th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2016 - Edinburgh, United Kingdom Duration: 19 Jul 2016 → 22 Jul 2016 |
Conference
Conference | 5th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2016 |
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Country/Territory | United Kingdom |
City | Edinburgh |
Period | 19/07/16 → 22/07/16 |
Research Groups and Themes
- Memory
- Cognitive Science
Keywords
- Biomimetics
- Psychophysics
- Robotics
- Tactile sensing
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Dive into the research topics of 'Discrimination-Based Perception for Robot Touch'. Together they form a unique fingerprint.Profiles
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Professor Chris Kent
- School of Psychological Science - Professor of Cognitive Psychology
- Bristol Neuroscience
Person: Academic , Member