Learning Motor Control by Dancing YMCA

  • Rikke Amilde LÄvlid
Conference paper

DOI: 10.1007/978-3-642-15286-3_8

Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 331)
Cite this paper as:
LÄvlid R.A. (2010) Learning Motor Control by Dancing YMCA. In: Bramer M. (eds) Artificial Intelligence in Theory and Practice III. IFIP AI 2010. IFIP Advances in Information and Communication Technology, vol 331. Springer, Berlin, Heidelberg


To be able to generate desired movements a robot needs to learn which motor commands move the limb from one position to another. We argue that learning by imitation might be an efficient way to acquire such a function, and investigate favorable properties of the movement used during training in order to maximize the control system’s generalization capabilities. Our control system was trained to imitate one particular movement and then tested to see if it can imitate other movements without further training.

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Copyright information

© IFIP International Federation for Information Processing 2010

Authors and Affiliations

  • Rikke Amilde LÄvlid
    • 1
  1. 1.Department of Computer and Information ScienceNorwegian University of Science and TechnologyTrondheimNorway

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