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Journal of applied research and technology
versión On-line ISSN 2448-6736versión impresa ISSN 1665-6423
Resumen
FAKOOR, Mahdi; KOSARI, Amirreza y JAFARZADEH, Mohsen. Humanoid robot path planning with fuzzy Markov decision processes. J. appl. res. technol [online]. 2016, vol.14, n.5, pp.300-310. ISSN 2448-6736. https://doi.org/10.1016/j.jart.2016.06.006.
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.
Palabras llave : Fuzzy Markov decision processes; Vision based path planning; Path planning in unknown environments; Humanoid robots.