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Haptic Perception with a Robotic Hand

Johnsson, Magnus LU and Balkenius, Christian LU (2006) Ninth Scandinavian Conference on Artificial Intelligence (SCAI 2006) In Publications of the Finnish Artificial Intelligence Society 22. p.127-134
Abstract (Swedish)
Abstract in Undetermined

We have developed an 8 d.o.f. robot hand which has been tested with three computational models of haptic perception. Two of the models are based on the tensor product of different proprioceptive and sensory signals and a self-organizing map (SOM), and one uses a novel self-organizing neural network, the T-MPSOM. The computational models have been trained and tested with a set of objects consisting of hard spheres, blocks and cylinders. The first computational model, which is based on the tensor product, was able to discriminate between all the test objects. The second and third models could also discriminate between the test objects, but in addition they were capable of shape categorization.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Publications of the Finnish Artificial Intelligence Society
editor
Honkela, Timo; Kortela, Jukka; Valpola, Harri; Raiko, Tapani; ; ; and
volume
22
pages
127 - 134
publisher
Finnish Artificial Intelligence Society
conference name
Ninth Scandinavian Conference on Artificial Intelligence (SCAI 2006)
ISSN
1238-4658
1796-623X
ISBN
978-952-5677-00-3
language
English
LU publication?
yes
id
90d4e741-8e11-4e51-a5b4-e4e0cfadaa78 (old id 949333)
date added to LUP
2008-01-25 16:35:32
date last changed
2017-03-28 09:07:55
@inproceedings{90d4e741-8e11-4e51-a5b4-e4e0cfadaa78,
  abstract     = {<b>Abstract in Undetermined</b><br/><br>
We have developed an 8 d.o.f. robot hand which has been tested with three computational models of haptic perception. Two of the models are based on the tensor product of different proprioceptive and sensory signals and a self-organizing map (SOM), and one uses a novel self-organizing neural network, the T-MPSOM. The computational models have been trained and tested with a set of objects consisting of hard spheres, blocks and cylinders. The first computational model, which is based on the tensor product, was able to discriminate between all the test objects. The second and third models could also discriminate between the test objects, but in addition they were capable of shape categorization.},
  author       = {Johnsson, Magnus and Balkenius, Christian},
  booktitle    = {Publications of the Finnish Artificial Intelligence Society},
  editor       = {Honkela, Timo and Kortela, Jukka and Valpola, Harri and Raiko, Tapani},
  isbn         = {978-952-5677-00-3},
  issn         = {1238-4658},
  language     = {eng},
  pages        = {127--134},
  publisher    = {Finnish Artificial Intelligence Society},
  title        = {Haptic Perception with a Robotic Hand},
  volume       = {22},
  year         = {2006},
}