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Haptic Perception with a Robotic Hand

Författare

Redaktör

  • Timo Honkela
  • Jukka Kortela
  • Harri Valpola
  • Tapani Raiko

Summary, in English

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.

Publiceringsår

2006

Språk

Engelska

Sidor

127-134

Publikation/Tidskrift/Serie

Publications of the Finnish Artificial Intelligence Society

Volym

22

Dokumenttyp

Konferensbidrag

Förlag

Finnish Artificial Intelligence Society

Ämne

  • Computer Vision and Robotics (Autonomous Systems)

Conference name

Ninth Scandinavian Conference on Artificial Intelligence (SCAI 2006)

Conference date

2006-10-26 - 2006-10-27

Conference place

Espoo, Finland

Status

Published

Projekt

  • Ikaros: An infrastructure for system level modelling of the brain

Forskningsgrupp

  • Lund University Cognitive Science (LUCS)

ISBN/ISSN/Övrigt

  • ISSN: 1796-623X
  • ISSN: 1238-4658
  • ISBN: 978-952-5677-01-0
  • ISBN: 978-952-5677-00-3