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Multiple‐Robot Simultaneous Localization and Mapping: A Review
Author(s) -
Saeedi Sajad,
Trentini Michael,
Seto Mae,
Li Howard
Publication year - 2016
Publication title -
journal of field robotics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.152
H-Index - 96
eISSN - 1556-4967
pISSN - 1556-4959
DOI - 10.1002/rob.21620
Subject(s) - simultaneous localization and mapping , robot , mobile robot , robotics , artificial intelligence , focus (optics) , computer science , global positioning system , field (mathematics) , computer vision , mobile robot navigation , robot control , mathematics , telecommunications , physics , pure mathematics , optics
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.