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Vector Field Based Guiding Model for Mobile Robots as An Intelligent Transportation System
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| Author(s) |
Nagy I., Baranyi P., Greguss P., Korondi P., Hashimoto H.* |
| Abstract |
The main motivation of the present approach is to develop an autonomous robot transportation system in an intelligent building. The robots might have higher or lower priority depending on their roles; therefore they should travel in pre-defined guiding styles. The artificial potential field method is introduced as a generalised guiding style model, but an extended version of this model is also presented (the vector field model), which overcomes some of the limitations of the potential based model. The extended forms can be approximated by a common type neuro-fuzzy algorithm, which is introduced as well as a simple training method for both the original and the extended models. A sensor system is also presented which can be used as a range detector to detect objects and their distances. |
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| Filename: | EPE-PEMC2000 - 200 - Nagy.pdf |
| Filesize: | 167.2 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-04-28 by System |
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