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Biologically Inspired Cognitive Architectures 2012 pp 205–210Cite as

An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision)

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 196)

Abstract

We present an easy-to-use, modular framework for performing computer vision related tasks in support of cognitive robotics research on the iCub humanoid robot. The aim of this biologically inspired, bottom-up architecture is to facilitate research towards visual perception and cognition processes, especially their influence on robotic object manipulation and environment interaction. The icVision framework described provides capabilities for detection of objects in the 2D image plane and locate those objects in 3D space to facilitate the creation of a world model.

Keywords

  • Object Detection
  • Humanoid Robot
  • World Model
  • Object Manipulation
  • Cartesian Genetic Programming

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Dalle Molle Institute for Artificial Intelligence (IDSIA), USI/SUPSI, Lugano, Switzerland

    Jürgen Leitner, Mikhail Frank, Alexander Förster & Jürgen Schmidhuber

  2. Machine Intelligence, Ltd, Devon, UK

    Simon Harding

Authors
  1. Jürgen Leitner
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  2. Simon Harding
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  3. Mikhail Frank
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  4. Alexander Förster
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  5. Jürgen Schmidhuber
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Corresponding author

Correspondence to Jürgen Leitner .

Editor information

Editors and Affiliations

  1. Department of Chemical, Management,, Computer, Mechanical Engineering, Università di Palermo, Viale delle Scienze, Building 6 6, Palermo, 90128, Italy

    Antonio Chella

  2. Department of Chemical, Management,, Computer, Mechanical Engineering, Università di Palermo, Viale delle Scienze, Building 6 6, Palermo, 90128, Italy

    Roberto Pirrone

  3. Department of Chemical, Management,, Computer, Mechanical Engineering, Università di Palermo, Viale delle Scienze, Building 6 6, Palermo, 90128, Italy

    Rosario Sorbello

  4. , Department of Psychology, Reykjavik University, Menntavegur 1, Reykjavik, 101, Iceland

    Kamilla Rún Jóhannsdóttir

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Cite this paper

Leitner, J., Harding, S., Frank, M., Förster, A., Schmidhuber, J. (2013). An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision). In: Chella, A., Pirrone, R., Sorbello, R., Jóhannsdóttir, K. (eds) Biologically Inspired Cognitive Architectures 2012. Advances in Intelligent Systems and Computing, vol 196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34274-5_37

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  • DOI: https://doi.org/10.1007/978-3-642-34274-5_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34273-8

  • Online ISBN: 978-3-642-34274-5

  • eBook Packages: EngineeringEngineering (R0)

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