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MILP planner for search-and-rescue missions showcased on paper: Exploiting Natural Language for Efficient Risk-Aware Multi-Robot SaR Planning by Shree, Asfora, Zheng, Hong, Banfi and Campbell, in IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 3152-3159, April 2021, doi: 10.1109/LRA.2021.3062798.

License: MIT License

Python 92.90% Julia 7.05% Shell 0.05%
searchandrescue optimization-algorithms python milp-models

milp_sim's Introduction

milp_sim

Installation Guide

This project was developed in Python 3.6. It uses the following Python libraries: datetime, sys, os, pickle, numpy, matplotlib, igraph, gurobipy.

Start by cloning this repository,

git clone https://github.com/basfora/milp_sim.git

Run install script

This will install all the other necessary Python libraries and add the folder to your Python path system variable. From inside the milp_sim folder, run on terminal:

chmod +x install_script.sh
./install_script.sh

Citing this work

If you use this algorithm or code, please cite our paper:

@article{shree2021exploiting,
  title={Exploiting Natural Language for Efficient Risk-Aware Multi-Robot SaR Planning},
  author={Shree, Vikram and Asfora, Beatriz and Zheng, Rachel and Hong, Samantha and Banfi, Jacopo and Campbell, Mark},
  journal={IEEE Robotics and Automation Letters},
  volume={6},
  number={2},
  pages={3152--3159},
  year={2021},
  publisher={IEEE}
}

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