Humanoid robot path planning with fuzzy Markov decision processes



Título del documento: Humanoid robot path planning with fuzzy Markov decision processes
Revista: Journal of applied research and technology
Base de datos: PERIÓDICA
Número de sistema: 000403216
ISSN: 1665-6423
Autores: 1
1
1
Instituciones: 1University of Tehran, Faculty of New Sciences & Technologies, Teherán. Irán
Año:
Periodo: Oct
Volumen: 14
Número: 5
Paginación: 300-310
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, aplicado
Resumen en inglés 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
Disciplinas: Ingeniería
Palabras clave: 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
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