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International Conference on Motion in Games

MIG 2010: Motion in Games pp 106–108Cite as

Skills-in-a-Box: Towards Abstract Models of Motor Skills

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6459))

Abstract

When creating animated characters, we wish to develop models of motion that can generalize beyond a specific set of recorded motions. Significant progress has been made towards this end, including the development of controllers of growing sophistication for physically-simulated characters. In this talk, we take stock of some of the recent advances in the control of locomotion, with an eye towards identifying some of the common elements that might help define a future era of ‘downloadable skills’. We argue in favor of learned memory-based models that allow for skills to be developed and integrated in an incremental fashion.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of British Columbia, Canada

    Michiel van de Panne

Authors
  1. Michiel van de Panne
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Editor information

Editors and Affiliations

  1. VRLab, Ecole Polytechnique Fédérale de Lausanne, EPFL, 1015, Lausanne, Switzerland

    Ronan Boulic

  2. Dept. of Computer Science, University of Cyprus, 1678, Nicosia, Cyprus

    Yiorgos Chrysanthou

  3. School of Informatics, University of Edinburgh, EH8 9YL, Edinburgh, UK

    Taku Komura

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© 2010 Springer-Verlag Berlin Heidelberg

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van de Panne, M. (2010). Skills-in-a-Box: Towards Abstract Models of Motor Skills. In: Boulic, R., Chrysanthou, Y., Komura, T. (eds) Motion in Games. MIG 2010. Lecture Notes in Computer Science, vol 6459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16958-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-16958-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16957-1

  • Online ISBN: 978-3-642-16958-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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