Multiple‐Robot Simultaneous Localization and Mapping: A Review |
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| Authors: | Sajad Saeedi Michael Trentini Mae Seto Howard Li |
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| Affiliation: | 1. PhD, University of New Brunswick Fredericton, NB, CanadaCOBRA Group at the University of New Brunswick, Fredericton, Canada, http://www.ece.unb.ca/COBRA/;2. PhD, Defence Research and Development Canada Suffield, AB, Canada;3. PEng, PhD, Defence Research and Development Canada Halifax, NS, Canada;4. PEng, PhD, IEEE Senior Member, University of New Brunswick Fredericton, NB, Canada |
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| Abstract: | Simultaneous localization and mapping (SLAM) in unknown GPS‐denied environments is a major challenge for researchers in the field of mobile robotics. Many solutions for single‐robot SLAM exist; however, moving to a platform of multiple robots adds many challenges to the existing problems. This paper reviews state‐of‐the‐art multiple‐robot systems, with a major focus on multiple‐robot SLAM. Various issues and problems in multiple‐robot SLAM are introduced, current solutions for these problems are reviewed, and their advantages and disadvantages are discussed. |
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