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lajoiepy authored Jan 12, 2024
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![Swarm-SLAM Overview](media/system-overview.svg)

[Swarm-SLAM](https://arxiv.org/abs/2301.06230) is an open-source C-SLAM system designed to be scalable, flexible, decentralized, and sparse, which are all key properties in swarm robotics. Our system supports lidar, stereo, and RGB-D sensing, and it includes a novel inter-robot loop closure prioritization technique that reduces inter-robot communication and accelerates the convergence.
[Swarm-SLAM](https://ieeexplore.ieee.org/document/10321649) is an open-source C-SLAM system designed to be scalable, flexible, decentralized, and sparse, which are all key properties in swarm robotics. Our system supports lidar, stereo, and RGB-D sensing, and it includes a novel inter-robot loop closure prioritization technique that reduces inter-robot communication and accelerates the convergence.

Look up our [Documentation](https://lajoiepy.github.io/cslam_documentation/html/index.html) and our [Start-up instructions](https://lajoiepy.github.io/cslam_documentation/html/md_startup-instructions.html)!

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Follow the [start-up instructions](https://lajoiepy.github.io/cslam_documentation/html/md_startup-instructions.html) to install, build and run Swarm-SLAM.

How to cite [our paper](https://arxiv.org/abs/2301.06230):
How to cite [our paper](https://ieeexplore.ieee.org/document/10321649):
```
@ARTICLE{lajoieSwarmSLAM,
author={Lajoie, Pierre-Yves and Beltrame, Giovanni},
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