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Data · dataset · 2016

Humanoid robot path planning with fuzzy Markov decision processes

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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.

Description

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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Inferred from text
Intelligent robotics 76%

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Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.3833259.v112 d agoJSON v1
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