| Journal: | Journal of applied research and technology |
| Database: | PERIÓDICA |
| System number: | 000403216 |
| ISSN: | 1665-6423 |
| Authors: | Fakoor, Mahdi1 Kosari, Amirreza1 Jafarzadeh, Mohsen1 |
| Institutions: | 1University of Tehran, Faculty of New Sciences & Technologies, Teherán. Irán |
| Year: | 2016 |
| Season: | Oct |
| Volumen: | 14 |
| Number: | 5 |
| Pages: | 300-310 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English abstract | In contrast to the case of known environments, path planning in unknown environments, mostly for humanoid robots, is yet to be opened for further development. This is mainly attributed to the fact that obtaining thorough sensory information about an unknown environment is not functionally or economically applicable. This study alleviates the latter problem by resorting to a novel approach through which the decision is made according to fuzzy Markov decision processes (FMDP), with regard to the pace. The experimental results show the efficiency of the proposed method |
| Disciplines: | Ingeniería |
| Keyword: | Ingeniería biónica y cibernética, Robots, Visión robótica, Planeación de trayectorias, Procesos de decisión de Markov |
| Keyword: | Engineering, Bionics and cybernetics, Robots, Robotic vision, Path planning, Markov decision processes |
| Full text: | Texto completo (Ver HTML) |
