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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Molina, J.M. Sevilla, C. Isasi, P. Sanchis, A. |
| Copyright Year | 1998 |
| Description | Author affiliation: Dept. de Inf., Univ. Carlos III de Madrid, Spain (Molina, J.M.) |
| Abstract | The navigation problem involves how to reach a goal avoiding obstacles in dynamic environments. This problem can be faced considering reactions and/or sequences of actions. Classifier Systems (CS) have proven their ability of continuous learning, however they have some problems in reactive systems. A modified CS is proposed to overcome these problems. Two special mechanisms are included in the developed CS to allow the learning of both reactions and sequences of actions. This learning process involves two main tasks: first, discriminating between rules and second, the discovery of new rules to obtain a successful operation in dynamic environments. Different experiments have been carried out using a mini-robot Khepera to find a generalized solution. The results show the ability of the system for continuous learning and adaptation to new situations. |
| Starting Page | 1359 |
| Ending Page | 1364 |
| File Size | 651780 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780347781 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.1998.728072 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-10-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion planning Bibliographies System testing Frequency Control systems Environmental management Sensor systems Robot sensing systems |
| Content Type | Text |
| Resource Type | Article |
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