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LEARNING BASIC HUMAN GUIDING STYLES FOR MOBILE ROBOT

I. Nagy, P. Baranyi, P. Greguss
  • Abstract:
    The real-time control of mobile robots in uncertain, dynamic environments is one of the major fields of the current research. The main objective of this paper is to find a suitable method to model different styles of guiding. Motivated by the chosen algorithm’s (potential based guiding) limitations an extended method is presented. A common type neuro-fuzzy algorithm is developed which can approximate the proposed model. The extended model improves the modeling properties and eliminates some disadvantages of the PBG model.
  • Keywords:
    guiding model, PAL optic, autonom robots, neuro-fuzzy systems
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  • DOI:
    _unreg_wc-2000.452

Event details:

  • IMEKO TC:
  • Event name:
    XVI IMEKO World Congress
  • Title:

    Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future

  • Place:
    Vienna, AUSTRIA
  • Time:
    25 September 2000 - 28 September 2000