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Grammar-based robot control

Published: 10 May 2009 Publication History

Abstract

To allow a robot to function in unstructured environments, a control architecture should be flexible and should facilitate the creation and representation of arbitrarily complex sequences of actions. Such an architecture should also facilitate simple and natural interaction between a robot and its human collaborators. Human language has both representational flexibility and naturalness to human operators; in this paper we show how the structures of natural language can serve as the basis of an effective robot control architecture.

References

[1]
T. Brick, P. Schermerhorn, and M. Scheutz. Speech and action: Integration of action and language for mobile robots. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2007.
[2]
E. Charniak. A maximum-entropy-inspired parser. In Proceedings of NAACL-2000, 2000.
[3]
S. Lauria, G. Bugmann, T. Kyriacou, and E. Klein. Mobile robot programming using natural language. Robotics and Autonomous Systems, 38(3--4), 2002.

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Information & Contributors

Information

Published In

cover image Guide Proceedings
AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
May 2009
730 pages
ISBN:9780981738178

Sponsors

  • Drexel University
  • Wiley-Blackwell
  • Microsoft Research: Microsoft Research
  • Whitestein Technologies
  • European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
  • The Foundation for Intelligent Physical Agents

Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 10 May 2009

Author Tags

  1. grammar-based control
  2. human-robot interaction
  3. language understanding

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  • Research-article

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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