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Nonmyopic Informative Path Planning Based on Global Kriging Variance Minimization

License: MIT License

Jupyter Notebook 94.52% Python 5.48%

nonmyopic-gkvm-planner's Introduction

Nonmyopic Informative Path Planner

Software package of the methodology in paper "Nonmyopic Informative Path Planning Based on Global Kriging Variance Minimization." IEEE Robotics and Automation Letters (2022)." by Chenxi Xiao, Juan Wachs.

See demo.ipynb for a concise tutorial.

[May 26, 2022] Special thanks to Glebys Gonzales for presenting the work!

If the code is useful to your work please cite the following paper

@article{xiao2022nonmyopic,
  title={Nonmyopic Informative Path Planning Based on Global Kriging Variance Minimization},
  author={Xiao, Chenxi and Wachs, Juan},
  journal={IEEE Robotics and Automation Letters},
  year={2022},
  publisher={IEEE}
}

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