LEARNING BASIC HUMAN GUIDING STYLES FOR MOBILE ROBOT |
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| 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
- Download:
- IMEKO-WC-2000-TC17-P452.pdf
- DOI:
- -
- Event details
- 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