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Towards Collaborative Simultaneous Localization and Mapping: A Survey of the Current Research Landscape

Pierre–Yves Lajoie, Benjamin Ramtoula, Fang Wu, Giovanni Beltrame

Year
2022
Citations
80
Access
Open access

Abstract

Motivated by the tremendous progress, we witnessed in recent years, this paper presents a survey of the scientific literature on the topic of Collaborative Simultaneous Localization and Mapping (C-SLAM), also known as multi-robot SLAM. With fleets of self-driving cars on the horizon and the rise of multi-robot systems in industrial applications, we believe that Collaborative SLAM will soon become a cornerstone of future robotic applications. In this survey, we introduce the basic concepts of C-SLAM and present a thorough literature review. We also outline the major challenges and limitations of C-SLAM in terms of robustness, communication, and resource management. We conclude by exploring the area's current trends and promising research avenues.

Keywords

CornerstoneSimultaneous localization and mappingRobustness (evolution)RobotComputer scienceResource (disambiguation)Data scienceArtificial intelligenceGeographyMobile robot

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