Thesis (Selection of subject)Thesis (Selection of subject)(version: 368)
Thesis details
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Map-merging for multi-robot system
Thesis title in Czech: Spojování map pro multirobotický systém
Thesis title in English: Map-merging for multi-robot system
Key words: map-merging, multi-robot system, ROS, SLAM
English key words: map-merging, multi-robot system, ROS, SLAM
Academic year of topic announcement: 2015/2016
Thesis type: Bachelor's thesis
Thesis language: angličtina
Department: Department of Theoretical Computer Science and Mathematical Logic (32-KTIML)
Supervisor: RNDr. David Obdržálek, Ph.D.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 09.12.2015
Date of assignment: 27.01.2016
Confirmed by Study dept. on: 15.02.2016
Date and time of defence: 16.06.2016 00:00
Date of electronic submission:24.05.2016
Date of submission of printed version:27.05.2016
Date of proceeded defence: 16.06.2016
Opponents: Mgr. Pavel Ježek, Ph.D.
 
 
 
Guidelines
Cílem práce je vytvořit systém pro automatické spojování map vytvářených nezávisle více roboty. Implementace se očekává pro ROS ve vybraném simulátoru. Pro vývojové a testovací účely bude vytvořena i implementace, která pro jednotlivé roboty využije vhodně vybranou metodu pro SLAM.
References
J.A.S. Martins, MRSLAM – Multi-Robot Simultaneous Localization and Mapping, Disertation at Universidade de Coimbra, 2013
M. Montemerlo, S. Thrun, FastSLAM: A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics, Springer 2010, ISBN 9783642079788
R. Aragues, C. Sagues, Y. Mezouar, Parallel and Distributed Map Merging and Localization, Springer 2015, ISBN 978-3-319-25886-7
J. C. RUSS, The Image Processing Handbook, CRC Press, 2011, ISBN 9781439840450
 
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