Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163473
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dc.contributor.authorTan, Chen Qiuen_US
dc.date.accessioned2022-12-07T05:50:00Z-
dc.date.available2022-12-07T05:50:00Z-
dc.date.issued2022-
dc.identifier.citationTan, C. Q. (2022). Multi-SLAM for swarm application. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163473en_US
dc.identifier.urihttps://hdl.handle.net/10356/163473-
dc.description.abstractAlongside an increasing adoption of autonomous robots in more fields, much research has gone into improving the effectiveness of Simultaneous Localization and Mapping (SLAM). Multi-SLAM is one example of such research. It is a specific application of Simultaneous Localization and Mapping (SLAM) that carries out mapping with multiple robots and is expected to have several advantages over SLAM. Some of this include faster mapping time and eliminating a single point of failure in the mapping process. This report will hence explore the implementation of Cartographer algorithm of multi-SLAM and discuss its benefits and drawbacks. This is done by implementing Cartographer SLAM on a WaveShare Robot with a LiDAR sensor and analyzing the mapping result on RViz.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleMulti-SLAM for swarm applicationen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLi King Ho Holdenen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering Science (Mechanical Engineering)en_US
dc.contributor.supervisoremailHoldenLi@ntu.edu.sgen_US
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Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)
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