Humanoid robot path planning with fuzzy Markov decision processes
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Redalyc
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional Autónoma de México
2016
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| _version_ | 1876439042063597568 |
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| author | Mahdi Fakoor |
| author_facet | Mahdi Fakoor |
| contents | Humanoid robot path planning with fuzzy Markov decision processes Mahdi Fakoor Amirreza Kosari Mohsen Jafarzadeh Ingeniería Humanoid robots Vision based path planning Fuzzy Markov decision processes Path planning in unknown environments 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. 2016 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47448461003 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.5 Vol.14 |
| format | Artículo científico |
| id | redalyc_47448461003 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Humanoid robot path planning with fuzzy Markov decision processes Mahdi Fakoor Ingeniería Humanoid robots Vision based path planning Fuzzy Markov decision processes Path planning in unknown environments Humanoid robot path planning with fuzzy Markov decision processes Mahdi Fakoor Amirreza Kosari Mohsen Jafarzadeh Ingeniería Humanoid robots Vision based path planning Fuzzy Markov decision processes Path planning in unknown environments 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. 2016 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47448461003 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.5 Vol.14 |
| title | Humanoid robot path planning with fuzzy Markov decision processes |
| topic | Ingeniería Humanoid robots Vision based path planning Fuzzy Markov decision processes Path planning in unknown environments |
| url | https://www.redalyc.org/articulo.oa?id=47448461003 |