Presentation | 2008-03-13 Graph-based Maps Formation for Mobile Robots by Hidden Markov Models Muhammad Aziz Muslim, Masumi ISHIKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The present paper proposes a probabilistic approach to recognizing the environment of a mobile robot and to generate a graph-based map based on the estimation of Hidden Markov Models (HMMs). This is because recognition of the environment based on a short interval of data is not enough when sensory signals are corrupted by noise. Graph-based maps are effective in decreasing the computational cost. Two methods for constructing graph-based maps are proposed. The former is to estimate HMMs based on quantized sensory-motor signals. The latter is to estimate HMMs based on a sequence of labels obtained by modular network SOM (mnSOM). The resulting sequence of HMMs can be converted into a graph-based map in a straightforward way. Simulation results demonstrate that the proposed method is able to construct graph-based maps effectively, and to perform goal seeking efficiently. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Hidden Markov Model / Graph-based Map / mnSOM / k-means / mobile robot |
Paper # | NC2007-164 |
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Committee | NC |
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Conference Date | 2008/3/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Graph-based Maps Formation for Mobile Robots by Hidden Markov Models |
Sub Title (in English) | |
Keyword(1) | Hidden Markov Model |
Keyword(2) | Graph-based Map |
Keyword(3) | mnSOM |
Keyword(4) | k-means |
Keyword(5) | mobile robot |
1st Author's Name | Muhammad Aziz Muslim |
1st Author's Affiliation | Department of Brain Science and Engineering, Kyushu Institute of Technology() |
2nd Author's Name | Masumi ISHIKAWA |
2nd Author's Affiliation | Department of Brain Science and Engineering, Kyushu Institute of Technology |
Date | 2008-03-13 |
Paper # | NC2007-164 |
Volume (vol) | vol.107 |
Number (no) | 542 |
Page | pp.pp.- |
#Pages | 6 |
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