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

  • Jürgen Leitner
  • Simon Harding
  • Mikhail Frank
  • Alexander Förster
  • Jürgen Schmidhuber
Conference paper

DOI: 10.1007/978-3-642-34274-5_37

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 196)
Cite this paper as:
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

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jürgen Leitner
    • 1
  • Simon Harding
    • 2
  • Mikhail Frank
    • 1
  • Alexander Förster
    • 1
  • Jürgen Schmidhuber
    • 1
  1. 1.Dalle Molle Institute for Artificial Intelligence (IDSIA), USI/SUPSILuganoSwitzerland
  2. 2.Machine Intelligence, LtdDevonUK

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