Multi-SLAM for swarm application
Alongside 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...
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2022
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sg-ntu-dr.10356-1634732023-03-04T20:22:09Z Multi-SLAM for swarm application Tan, Chen Qiu Li King Ho Holden School of Mechanical and Aerospace Engineering HoldenLi@ntu.edu.sg Engineering::Mechanical engineering Alongside 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. Bachelor of Engineering Science (Mechanical Engineering) 2022-12-07T05:50:00Z 2022-12-07T05:50:00Z 2022 Final Year Project (FYP) Tan, C. Q. (2022). Multi-SLAM for swarm application. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163473 https://hdl.handle.net/10356/163473 en application/pdf Nanyang Technological University |
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Engineering::Mechanical engineering Tan, Chen Qiu Multi-SLAM for swarm application |
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Alongside 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. |
author2 |
Li King Ho Holden |
author_facet |
Li King Ho Holden Tan, Chen Qiu |
format |
Final Year Project |
author |
Tan, Chen Qiu |
author_sort |
Tan, Chen Qiu |
title |
Multi-SLAM for swarm application |
title_short |
Multi-SLAM for swarm application |
title_full |
Multi-SLAM for swarm application |
title_fullStr |
Multi-SLAM for swarm application |
title_full_unstemmed |
Multi-SLAM for swarm application |
title_sort |
multi-slam for swarm application |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/163473 |
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1759856474510589952 |