Perceiving Objects and Movements to Generate Actions on a Humanoid Robot

  • Tamim Asfour
  • Kai Welke
  • Aleš Ude
  • Pedram Azad
  • Rüdiger Dillmann
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 8)

The concept of Object-Action Complexes (OACs) has been introduced by the European PACO-PLUS consortium ( [8]) to emphasize the notion that for a cognitive agent objects and actions are inseparably intertwined and that categories are therefore determined (and also limited) by the action an agent can perform and by the attributes of the world it can perceive. The resulting OACs are the entities on which cognition develops (action-centered cognition). Entities (things) in the world of a robot (or human) will only become semantically useful objects through the action that the agent can/will perform on them.

In this work we present a new humanoid active head which features human-like characteristics in motion and response and mimics the human visual system. We present algorithms that can be applied to perceive objects and movements, which form the basis for learning actions on the humanoid. For action representation we use an HMM-based approach to reproduce the observed movements and build an action library. Hidden Markov Models (HMM) are used to represent movements demonstrated to a robot multiple times. They are trained with the characteristic features (key points) of each demonstration. We propose strategies for adaptation of movements to the given situation and for the interpolation between movements stored in a movement library.


Hide Markov Model Humanoid Robot Query Point Imitation Learning Movement Library 
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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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Tamim Asfour
    • 1
  • Kai Welke
    • 1
  • Aleš Ude
    • 2
  • Pedram Azad
    • 1
  • Rüdiger Dillmann
    • 1
  1. 1.Institute for Computer Science and EngineeringUniversity of KarlsruheGermany
  2. 2.Dept. of Automatics, Biocybernetics, and RoboticsJožef Stefan InstituteSlovenia

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