Planning Navigation Routes for Mobile Robots

• Autorzy: Kryvyy R. , Tkachenko S.
• Języki publikacji: EN

Abstrakty

EN

The paper describes peculiarities of route planning for mobile robots. Peculiarities of route planning via neural networks and genetic algorithms are considered.

Słowa kluczowe

EN

neural network; genetic algorithm; mobile robot; route planning

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Machine Dynamics Research
• Rocznik: 2013
• Tom: Vol. 37, No. 2
• Strony: 55--59
• Opis fizyczny: Bibliogr.7 poz., il.

Twórcy

autor

Kryvyy R.

• Lviv Polytechnic National University. Department of Computer-Aided Design Systems

autor

Tkachenko S.

• Lviv Polytechnic National University. Department of Computer-Aided Design Systems

Bibliografia

• 1. Добрынин Д.А., Карпов В.Э., Мещерякова Т.В., Степанов С.Н. 2005 Адаптивный мобильный робот //Мобильные роботы и мехатронные системы: Материалы научной школы-конференции, Москва, 21-25 марта 2005. Часть 1. М.: Изд-во Моск. Ун-та, 2005., стр. 137-143.
• 2. A. H. P. Selvatici and A. H. R. Costa, 2007, A Hybrid Adaptive Architecture for Mobile Robots Based on Reactive Behaviours, Mobile Robots: The Evolutionary Approach. Studies in Computational Intelligence, Volume 50, 2007.
• 3. D. Floreano and C. Mattiussi, 2001 Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots, Evolutionary Robotics From Intelligent Robotics to Artificial Life, International Symposium, ER 2001, Tokyo, Japan, October 18-19, 2001.
• 4. E. L. Colombini , C. H. C. Ribeiro 2007, Module-based Autonomous Learning for Mobile Robots. Mobile Robots:The Evolutionary Approach. Studies in Computational Intelligence, Volume 50, 2007
• 5. M. Lee, 2003, Evolution of behaviors in autonomous robot using artificial neural network and genetic algorithm, Information Sciences 155 (2003) 43–60.
• 6. O. Chocron, 2007, Evolving Modular Robots for Rough Terrain Exploration, Mobile Robots:The Evolutionary Approach. Studies in Computational Intelligence, Volume 50, 2007
• 7. P. Angelov, Xiaowei Zhou, Evolving Fuzzy Classifier for Novelty Detection and Landmark Recognition by Mobile Robots. Studies in Computational Intelligence (SCI) 50 , 89–114 (2007).