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  Simulating Human Table Tennis with a Biomimetic Robot Setup

Mülling, K., Kober, J., & Peters, J. (2010). Simulating Human Table Tennis with a Biomimetic Robot Setup. In S. Doncieux, B. Girard, A. Guillot, J. Hallam, J.-A. Meyer, & J.-B. Mouret (Eds.), From Animals to Animats 11 (pp. 273-282). Berlin, Germany: Springer.

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 Creators:
Mülling, K1, 2, Author           
Kober, J1, 2, Author           
Peters, J1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Playing table tennis is a difficult motor task which requires fast movements, accurate control and adaptation to task parameters.
Although human beings see and move slower than most robot systems
they outperform all table tennis robots significantly. In this paper we
study human table tennis and present a robot system that mimics human
striking behavior. Therefore we model the human movements involved
in hitting a table tennis ball using discrete movement stages and the
virtual hitting point hypothesis. The resulting model is implemented on
an anthropomorphic robot arm with 7 degrees of freedom using robotics
methods. We verify the functionality of the model both in a physical realistic
simulation of an anthropomorphic robot arm and on a real Barrett
WAM.

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 Dates: 2010-08
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-642-15193-4_26
BibTex Citekey: 6626
 Degree: -

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Title: 11th International Conference on Simulation of Adaptive Behavior (SAB 2010)
Place of Event: Paris, France
Start-/End Date: 2010-08-25 - 2010-08-28

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Title: From Animals to Animats 11
Source Genre: Proceedings
 Creator(s):
Doncieux, S, Editor
Girard, B, Editor
Guillot, A, Editor
Hallam, J, Editor
Meyer, J-A, Editor
Mouret, J-B, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 273 - 282 Identifier: ISBN: 978-3-642-15193-4

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 6226 Sequence Number: - Start / End Page: - Identifier: -