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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

发表年份
2022
引用次数
80
访问权限
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摘要

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.

关键词

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

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