G. Romualdi, S. Dafarra and D. Pucci, "Modeling of Visco-Elastic Environments for Humanoid Robot Motion Control," in IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 4289-4296, July 2021, doi: 10.1109/LRA.2021.3067589
Modeling.of.Visco-Elastic.Environments.for.Humanoid.Robot.Motion.Control.mp4
IEEE Robotics and Automation Letters
We support running the experiments via the provided Docker image.
- Pull the docker image:
docker pull ghcr.io/ami-iit/soft-terrain-walking-docker:latest
- Launch the container:
xhost + docker run -it --rm \ --device=/dev/dri:/dev/dri \ --user user \ --env="DISPLAY=$DISPLAY" \ --net=host \ ghcr.io/ami-iit/soft-terrain-walking-docker:latest
- The application will start automatically
You can find the generated dataset
and images
in the ~\experiment
folder of the container.
If you find the work useful, please consider citing:
@ARTICLE{9382068,
author={Romualdi, Giulio and Dafarra, Stefano and Pucci, Daniele},
journal={IEEE Robotics and Automation Letters},
title={Modeling of Visco-Elastic Environments for Humanoid Robot Motion Control},
year={2021},
volume={6},
number={3},
pages={4289-4296},
doi={10.1109/LRA.2021.3067589}}
This repository is maintained by:
@GiulioRomualdi |