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

Author:

Lajoie Pierre-YvesORCID,Ramtoula BenjaminORCID,Wu FangORCID,Beltrame GiovanniORCID

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.

Publisher

Field Robotics Publication Society

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fusion consistency for industrial robot navigation: An integrated SLAM framework with multiple 2D LiDAR-visual-inertial sensors;Computers and Electrical Engineering;2024-12

2. CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments;IEEE Robotics and Automation Letters;2024-07

3. Multi-Robot Cooperative Localization with Single UWB Error Correction;2024 21st International Conference on Ubiquitous Robots (UR);2024-06-24

4. CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Blockchain technology for mobile multi-robot systems;Nature Reviews Electrical Engineering;2024-03-25

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