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Vision and Grasping: Humans vs. Robots

  • Conference paper
Mechanisms, Symbols, and Models Underlying Cognition (IWINAC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3561))

Abstract

Biomimetic robotics is a rapidly developing field, and the limited literature about biological inspiration in robot grasping at cognitive level suggests that the field has still much to offer.

Neuroscience studies indicate that vision-based reaching and grasping are important to the extent that an entire cortical pathway is dedicated to these skills. Nevertheless, recent findings point out the existence of strict relations between action-oriented (dorsal pathway) and categorization-oriented (ventral pathway) vision.

In this paper, we will compare present day research on vision-based robotic grasping with the above mentioned neuroscience findings. Then, we propose a new approach to vision for grasping in robotics, which aims at improving the emulation of human skills through the integration of the information flows proceeding from the two visual pathways.

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Author information

Authors and Affiliations

  1. Robotic Intelligence Laboratory, Universitat Jaume I, Castellón de la Plana, Spain

    Eris Chinellato & Angel P. del Pobil

Authors
  1. Eris Chinellato
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  2. Angel P. del Pobil
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Editor information

Editors and Affiliations

  1. E.T.S.I. Informática, Universidad Nacional de Educación a Distancia, 28040, Madrid, Spain

    José Mira

  2. E.T.S. de Ingeniería Informática, Departamento de Intelifencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José R. Álvarez

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© 2005 Springer-Verlag Berlin Heidelberg

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Chinellato, E., del Pobil, A.P. (2005). Vision and Grasping: Humans vs. Robots. In: Mira, J., Álvarez, J.R. (eds) Mechanisms, Symbols, and Models Underlying Cognition. IWINAC 2005. Lecture Notes in Computer Science, vol 3561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499220_38

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  • DOI: https://doi.org/10.1007/11499220_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26298-5

  • Online ISBN: 978-3-540-31672-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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