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Multiple-Robot Simultaneous Localization and Mapping: A Review

Sajad Saeedi, Michael Trentini, Mae Seto, Howard Li

Year
2015
Citations
322

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.

Keywords

Simultaneous localization and mappingRobotMobile robotArtificial intelligenceRoboticsFocus (optics)Computer scienceGlobal Positioning SystemField (mathematics)Computer vision

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