| Journal: | Computación y sistemas |
| Database: | PERIÓDICA |
| System number: | 000388892 |
| ISSN: | 1405-5546 |
| Authors: | Alanis, Alma Y1 Arana Daniel, Nancy1 López Franco, Carlos1 Guevara Reyes, Edgar1 |
| Institutions: | 1Universidad de Guadalajara, Centro Universitario de Ciencias Exactas e Ingenierías, Zapopan, Jalisco. México |
| Year: | 2015 |
| Season: | Jul-Sep |
| Volumen: | 19 |
| Number: | 3 |
| Pages: | 445-456 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English abstract | This work presents an artificial intelligence approach to solve the problem of finding a path and creating a map in unknown environments using Reinforcement Learning (RL) and Simultaneous Localization and Mapping (SLAM) for a differential mobile robot along with an optimal control system. We propose the integration of these approaches (two of the most widely used ones) for the implementation of robot navigation systems with an efficient method of control composed by a neural identifier and an inverse optimal control in order to obtain a robust and autonomous system of navigation in unknown and dynamic environments |
| Disciplines: | Ciencias de la computación |
| Keyword: | Inteligencia artificial, Control neuronal, Planeación de trayectorias, Mapeo, Ambientes dinámicos |
| Keyword: | Computer science, Artificial intelligence, Neural control, Path planning, Mapping, Dynamic environments |
| Full text: | Texto completo (Ver HTML) |
