This repository contains supplementary material for the paper Path planning with local motion estimations by J. Guzzi, R. O. Chavez-Garcia, M. Nava, L. M. Gambardella and A. Giusti, published in RA-L and to be presentated at ICRA 2020.
To reproduce the experiments reported in the paper, run
docker-compose up experiment_XXX
where XXX is one of anymal_rough, anymal_surf, or thymio_door.
The video illustrates the robot used, the data collection procedure and some samples experiments.
@article{guzzi2020ral_8988152,
author={Guzzi, Jérôme and Chavez-Garcia, R. Omar and Nava, Mirko and Gambardella, Luca M. and Giusti, Alessandro},
journal={IEEE Robotics and Automation Letters},
title={Path Planning With Local Motion Estimations},
year={2020},
volume={5},
number={2},
pages={2586-2593},
keywords={Motion and path planning;deep learning in robotics and automation;probability and statistical methods},
doi={10.1109/LRA.2020.2972849},
ISSN={2377-3774},
month={April},
url={https://ieeexplore.ieee.org/document/8988152},
}