Humanoid robot path planning with fuzzy Markov decision processes

Main Article Content

Mahdi Fakoor
Amirreza Kosari
Mohsen Jafarzadeh

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.

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How to Cite
Fakoor, M., Kosari, A., & Jafarzadeh, M. (2016). Humanoid robot path planning with fuzzy Markov decision processes. Journal of Applied Research and Technology, 14(5). https://doi.org/10.22201/icat.16656423.2016.14.5.20