Action Development and Integration in an Humanoid iCub Robot

  • Tobias Leugger
  • Stefano Nolfi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7375)

Abstract

One major challenge in adaptive/developmental robotics is constituted by the need to identify design principles that allow robots to acquire and display different behavioral skills by consistently and scalably integrating new behaviors into their existing behavioral repertoire. In this paper we briefly present a novel method that can address this objective, the theoretical background behind the proposed methodology, and the preliminary results obtained in a series of experiments in which a humanoid iCub robot develops progressively more complex object manipulation skills through an incremental language mediated training process.

Keywords

Complex Adaptive System Behavioral Skill Behavioral Repertoire Colored Object Peripersonal Space 
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.

References

  1. Nolfi, S.: Behaviour as a complex adaptive system: on the role of self-organization in the development of individual and collective behaviour. ComplexUs 2(3-4), 195–203 (2006)CrossRefGoogle Scholar
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  3. Zhang, Y., Weng, J.: Task transfer by a developmental robot. IEEE Transactions on Evolutionary Computation 2(11), 226–248 (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Tobias Leugger
    • 1
    • 2
  • Stefano Nolfi
    • 1
  1. 1.Institute of Cognitive Sciences and Technologies, CNRRomaItaly
  2. 2.Ecole Polytechnique Federale de LausanneLausanneSwitzerland

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