Grounded Representation Driven Robot Motion Design

  • Authors:

  • Michael Trieu;Mary-Anne Williams

  • Affiliations:

  • Innovation and Technology Research Laboratory, University of Technology, Sydney, Australia NSW 2007;Innovation and Technology Research Laboratory, University of Technology, Sydney, Australia NSW 2007

  • Venue:
  • RoboCup 2007: Robot Soccer World Cup XI
  • Year:
  • 2008

  • The symbol grounding problem

    CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation

  • Grounding computational engines

    Artificial Intelligence Review - Special issue: grounding representations

Quantified Score

Hi-index 0.00

Visualization

Abstract

Grounding robot representations is an important problem in Artificial Intelligence. In this paper we show how a new grounding framework guided the development of an improved locomotion engine [3] for the AIBO. The improvements stemmed from higher quality representations that were grounded better than those in the previous system [1]. Since the AIBO is more grounded under the new locomotion engine it makes better decisions and achieves its design goals more efficiently. Furthermore, a well grounded robot offers significant software engineering benefits since its behaviours can be developed, debugged and tested more effectively.