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Paper Abstract and Keywords
Presentation 2018-02-24 14:30
Dynamic Path Planning for Autonomous Mobile Robot with Spatiotemporal RRT Using Limited Local Information under Crowded Condition
Kazuki Nakamura, Tomoaki Nakamura, Masahide Kaneko (UEC)
Abstract (in Japanese) (See Japanese page) 
(in English) A robot that can work with humans under the daily lives environment should have the function of autonomous movement. This paper proposes a novel path planning and speed control method for autonomous mobile robot under the crowded and dynamic environment. The spatiotemporal RRT and sampling inhibition model are employed to find a suitable path using only local information. The sampling inhibition zones are added along boundary lines of occlusion area in order to make it difficult to generate paths close to occlusion area. For the crowded condition, the probability to inhibit sampling is forced to become lower so that a path that avoids the stop is generated more easily. Simulation experiments show the useful results that the number of collisions in the proposed method is less than that in the existing method.
Keyword (in Japanese) (See Japanese page) 
(in English) Path Planning / Dynamic Environment / Spatiotemporal RRT / Crowded Condition / / / /  
Reference Info. ITE Tech. Rep., vol. 42, no. 6, ME2018-67, pp. 89-92, Feb. 2018.
Paper # ME2018-67 
Date of Issue 2018-02-17 (ME) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
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Conference Information
Committee ME  
Conference Date 2018-02-24 - 2018-02-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanto Gakuin Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2018-02-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dynamic Path Planning for Autonomous Mobile Robot with Spatiotemporal RRT Using Limited Local Information under Crowded Condition 
Sub Title (in English)  
Keyword(1) Path Planning  
Keyword(2) Dynamic Environment  
Keyword(3) Spatiotemporal RRT  
Keyword(4) Crowded Condition  
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1st Author's Name Kazuki Nakamura  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Tomoaki Nakamura  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Masahide Kaneko  
3rd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2018-02-24 14:30:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # ME2018-67 
Volume (vol) vol.42 
Number (no) no.6 
Page pp.89-92 
#Pages
Date of Issue 2018-02-17 (ME) 


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