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Associating SOM Representations of Haptic Submodalities

Johnsson, Magnus LU and Balkenius, Christian LU (2008) Towards Autonomous Robotic Systems 2008 In Proceedings of Towards Autonomous Robotic Systems 2008 p.124-129
Abstract
We have experimented with a bio-inspired selforganizing
texture and hardness perception system which
automatically learns to associate the representations of the two
submodalities with each other. To this end we have developed
a microphone based texture sensor and a hardness sensor that measures the compression of the material at a constant pressure. The system is based on a novel variant of the Self-Organizing Map (SOM), called Associative Self-Organizing Map (A-SOM). The A-SOM both develops a representation of its input space and learns to associate this with the activity in an external SOM or A-SOM. The system was trained and tested with multiple samples gained from the exploration of a set of 4 soft and 4 hard objects... (More)
We have experimented with a bio-inspired selforganizing
texture and hardness perception system which
automatically learns to associate the representations of the two
submodalities with each other. To this end we have developed
a microphone based texture sensor and a hardness sensor that measures the compression of the material at a constant pressure. The system is based on a novel variant of the Self-Organizing Map (SOM), called Associative Self-Organizing Map (A-SOM). The A-SOM both develops a representation of its input space and learns to associate this with the activity in an external SOM or A-SOM. The system was trained and tested with multiple samples gained from the exploration of a set of 4 soft and 4 hard objects of different materials with varying textural properties. The system successfully found representations of the texture and hardness submodalities and also learned to associate these with each other. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Proceedings of Towards Autonomous Robotic Systems 2008
editor
Ramamoorthy, Subramanian; Hayes, Gillian M.; and
pages
6 pages
publisher
University of Edinburgh
conference name
Towards Autonomous Robotic Systems 2008
ISBN
1906849005
9781906849009
language
English
LU publication?
yes
id
7a80fc23-f36d-4c39-b23f-c9d9144fc92d (old id 1288037)
alternative location
http://cas.ee.ic.ac.uk/people/cmwitk/TAROS_2008_proceedings.pdf#page=134
date added to LUP
2009-01-30 09:31:19
date last changed
2017-03-28 09:59:37
@inproceedings{7a80fc23-f36d-4c39-b23f-c9d9144fc92d,
  abstract     = {We have experimented with a bio-inspired selforganizing<br/>texture and hardness perception system which<br/>automatically learns to associate the representations of the two<br/>submodalities with each other. To this end we have developed<br/>a microphone based texture sensor and a hardness sensor that measures the compression of the material at a constant pressure. The system is based on a novel variant of the Self-Organizing Map (SOM), called Associative Self-Organizing Map (A-SOM). The A-SOM both develops a representation of its input space and learns to associate this with the activity in an external SOM or A-SOM. The system was trained and tested with multiple samples gained from the exploration of a set of 4 soft and 4 hard objects of different materials with varying textural properties. The system successfully found representations of the texture and hardness submodalities and also learned to associate these with each other.},
  author       = {Johnsson, Magnus and Balkenius, Christian},
  booktitle    = {Proceedings of Towards Autonomous Robotic Systems 2008},
  editor       = {Ramamoorthy, Subramanian and Hayes, Gillian M.},
  isbn         = {1906849005},
  language     = {eng},
  pages        = {124--129},
  publisher    = {University of Edinburgh},
  title        = {Associating SOM Representations of Haptic Submodalities},
  year         = {2008},
}