Towards Collaborative Simultaneous Localization and Mapping: a Survey of the Current Research Landscape
It provides a comprehensive overview for researchers and practitioners in robotics, but is incremental as a survey paper.
This paper surveys Collaborative Simultaneous Localization and Mapping (C-SLAM), reviewing current research, challenges like robustness and communication, and future trends, without presenting new experimental results.
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.