Grammar-based robot control

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: Eugene Charniak, A maximum-entropy-inspired parser, Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference, p.132-139, April 29-May 04, 2000, Seattle, Washington
• 3: S. Lauria, G. Bugmann, T. Kyriacou, and E. Klein. Mobile robot programming using natural language. Robotics and Autonomous Systems, 38(3--4), 2002.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.8 Problem Solving, Control Methods, and Search

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.7 Natural Language Processing
          Subjects: Language parsing and understanding
      I.2.9 Robotics
          Subjects: Operator interfaces

General Terms:
Algorithms, Languages, Theory

Keywords:
grammar-based control, human-robot interaction, language understanding