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Code for RA-L paper "Multi-Robot Object SLAM using Distributed Variational Inference"

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Multi-robot Object SLAM with Distributed Variational Inference

[Paper]

Run the code

To run the algorithm on KITTI sequence 00. Change consensus_average value in the corresponding config file to switch between original MSCKF and our propose distributed MSCKF with consensus averaging.

python run.py --dataset kitti --data_id 00

To run it on simulation with 15 robots. Change consensus_average value in the corresponding config file to switch between original MSCKF and our propose distributed MSCKF with consensus averaging.

python run.py --dataset simulated --data_id nrobot_15

Evaluation

To evaluate the results on KITTI sequence 00

python evaluate_results.py --dataset kitti --data_id 00

To evaluate the results on simulation with 15 robots

python evaluate_results.py --dataset simulated --data_id nrobot_15

Citation

If you find this work useful, please consider to cite our paper:

@article{cao2024multi,
  title={{Multi-Robot Object SLAM using Distributed Variational Inference}},
  author={Cao, Hanwen and Shreedharan, Sriram and Atanasov, Nikolay},
  journal={arXiv preprint arXiv:2404.18331},
  year={2024}
}

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Code for RA-L paper "Multi-Robot Object SLAM using Distributed Variational Inference"

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