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EGPIS

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/learn @Zuka98/EGPIS
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0/100

Supported Platforms

Universal

README

Enhanced GPIS Learning Based on Local and Global Focus Areas (eGPIS)

<img src="eGPIS_examples.png" width="550">

This is the code for Enhanced GPIS Learning Based on Local and Global Focus Areas, IEEE Robotics and Automation Letters, 2022.

To download datasets and initialise folders run

bash download_datastes.sh
bash init.sh

To run experiments: run

cd src
python3 main.py

Dataset link: https://drive.google.com/u/0/uc?id=1CExHFuHvECp06Wc1xp02MRTHTacwUhlw

If you find this code useful in your research, please consider citing:

@ARTICLE{9854140,
  author={Murvanidze, Zuka and Deisenroth, Marc Peter and Bekiroglu, Yasemin},
  journal={IEEE Robotics and Automation Letters}, 
  title={Enhanced GPIS Learning Based on Local and Global Focus Areas}, 
  year={2022},
  volume={7},
  number={4},
  pages={11759-11766},
  doi={10.1109/LRA.2022.3197905}}

Related Skills

View on GitHub
GitHub Stars14
CategoryDevelopment
Updated24d ago
Forks3

Languages

Python

Security Score

85/100

Audited on Mar 13, 2026

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