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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/526
DC FieldValueLanguage
dc.contributor.authorHuynh Vinh Truongen_US
dc.date.accessioned2020-03-12T17:03:14Z-
dc.date.available2020-03-12T17:03:14Z-
dc.date.issued2017-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/526-
dc.description.abstractSimultaneous Localization and Mapping (SLAM) is one of the most challenging field of research in Robotics, which leads to a great amount of effort and knowledge for a single person to implement SLAM without the help of Robot Operating System (ROS). This report is generated in order to present basic working principles of ROS and how SLAM is implemented on ROS using its built – in packages. The report includes a brief introduction about ROS structure and operation, an intuitive explanation of Kalman Filter along with its application examples in robot localization, a rough instruction of how to build a static map using gmapping package with map_server and finally, a detailed discussion of the implementation of the robot_localization package in ROS in order to fully establish a complete SLAM for our Husky robot system.en_US
dc.language.isoenen_US
dc.publisherVietnamese-German Universityen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectImplementation of roboten_US
dc.subjectROSen_US
dc.subjectLocalization and mapping (SLAM)en_US
dc.titleThe implementation of robot localization package in ROSen_US
dc.typeThesisen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
item.languageiso639-1other-
Appears in Collections:Electrical Engineering and Information Technology (EEIT)
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