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.
@article{arxiv.2108.08325,
title = {Towards Collaborative Simultaneous Localization and Mapping: a Survey of the Current Research Landscape},
author = {Pierre-Yves Lajoie and Benjamin Ramtoula and Fang Wu and Giovanni Beltrame},
journal= {arXiv preprint arXiv:2108.08325},
year = {2022}
}