Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots
In this study, the utilization of a multi-objective approach in evolving artificial neural networks (ANNs) for an autonomous mobile robot is investigated. The ANN acts as a controller for radio frequency (RF)-Iocalization behavior of a Khepera robot simulated in a 3D physics-based environment. A fi...
| Asıl Yazarlar: | , |
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| Materyal Türü: | Research Report |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
Universiti Malaysia Sabah
2006
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| Konular: | |
| Online Erişim: | https://eprints.ums.edu.my/id/eprint/23200/1/Development%20of%20a%20Bioinspired%20optimization%20algorithm%20for%20the%20automatic%20generation%20of%20multiple%20distinct%20behaviors%20in%20simulated%20mobile%20robots.pdf |