mlsanityData to 7 Oct 2026

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

arXiv 2108.08325 ↗First posted 18 Aug 2021cs.ROcited by 15

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Abstract (arXiv)

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.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Aug 2021.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 3; 2023: 1; 2024: 6; 2025: 2; 2026: 2.

15 papers.

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