https://github.com/ami-iit/romualdi-2021-ral-soft_terrain_walking

https://github.com/ami-iit/romualdi-2021-ral-soft_terrain_walking

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: ieee.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.5%) to scientific vocabulary

Keywords

icra icra2021 ral
Last synced: 7 months ago · JSON representation

Repository

Basic Info
Statistics
  • Stars: 8
  • Watchers: 4
  • Forks: 5
  • Open Issues: 0
  • Releases: 0
Topics
icra icra2021 ral
Created about 5 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

Modeling of Visco-Elastic Environments for Humanoid Robot Motion Control

_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_

https://user-images.githubusercontent.com/16744101/120328989-b1249580-c2eb-11eb-9649-ebe13ad7342c.mp4

IEEE Robotics and Automation Letters
Installation | Paper | Video

Reproducing the experiments

We support running the experiments via the provided Docker image.

  1. Pull the docker image: console docker pull ghcr.io/ami-iit/soft-terrain-walking-docker:latest
  2. Launch the container: console 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
  3. The application will start automatically

You can find the generated dataset and images in the ~\experiment folder of the container.

⚠️ If you want to replicate the installation on your PC please follow the Docker recipe.

Citing this work

If you find the work useful, please consider citing:

bibtex @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}}

Maintainer

This repository is maintained by:

| | | |:---:|:---:| | | @GiulioRomualdi |

Owner

  • Name: Artificial and Mechanical Intelligence
  • Login: ami-iit
  • Kind: organization
  • Location: Italy

GitHub Events

Total
Last Year

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 14
  • Total Committers: 2
  • Avg Commits per committer: 7.0
  • Development Distribution Score (DDS): 0.071
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Giulio Romualdi g****i@g****m 13
Silvio Traversaro s****o@t****t 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 day
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 day
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • traversaro (2)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/docker.yaml actions
  • actions/checkout main composite
  • elgohr/Publish-Docker-Github-Action main composite
dockerfiles/Dockerfile docker
  • nvidia/opengl 1.2-glvnd-devel-ubuntu20.04 build