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paper_viceconte_2021_ral_adherent

https://github.com/ami-iit/paper_viceconte_2021_ral_adherent

Science Score: 67.0%

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

  • ✓
    CITATION.cff file
    Found 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 (7.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ami-iit
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Size: 111 KB
Statistics
  • Stars: 10
  • Watchers: 18
  • Forks: 4
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed about 4 years ago
Metadata Files
Readme License Citation

README.md

ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots

P. M. Viceconte, R. Camoriano, G. Romualdi, D. Ferigo, S. Dafarra, S. Traversaro, G. Oriolo, L. Rosasco and D. Pucci, "ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots" in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 2779-2886, April 2022, doi: 10.1109/LRA.2022.3141658

https://user-images.githubusercontent.com/41757826/155517805-78af9add-66bb-47fc-bd57-038146f07a4e.mp4

IEEE Robotics and Automation Letters
Installation | Paper | Video

Installation

In order to reproduce the results related to this work, please configure your setup by following the ADHERENT setup configuration wiki and then follow one or more sections from the ADHERENT scripts execution wiki.

Citing this work

If you find the work useful, please consider citing:

bibtex @ARTICLE{9676410, author={Viceconte, Paolo Maria and Camoriano, Raffaello and Romualdi, Giulio and Ferigo, Diego and Dafarra, Stefano and Traversaro, Silvio and Oriolo, Giuseppe and Rosasco, Lorenzo and Pucci, Daniele}, journal={IEEE Robotics and Automation Letters}, title={ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots}, year={2022}, volume={7}, number={2}, pages={2779-2886}, doi={10.1109/LRA.2022.3141658}}

Maintainer

This repository is maintained by:

| | | |:---:|:------------------------------------------------------:| | | @paolo-viceconte |

Owner

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

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this material, please cite it as below."
url: "https://github.com/ami-iit/paper_viceconte_2021_ral_adherent"
preferred-citation:
  type: article
  authors:
  - family-names: "Viceconte"
    given-names: "Paolo Maria"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  - family-names: "Camoriano"
    given-names: "Raffaello"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  - family-names: "Romualdi"
    given-names: "Giulio"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  - family-names: "Ferigo"
    given-names: "Diego"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  - family-names: "Dafarra"
    given-names: "Stefano"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  - family-names: "Traversaro"
    given-names: "Silvio"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  - family-names: "Oriolo"
    given-names: "Giuseppe"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  - family-names: "Rosasco"
    given-names: "Lorenzo"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  - family-names: "Pucci"
    given-names: "Daniele"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  doi: "10.1109/LRA.2022.3141658"
  journal: "IEEE Robotics and Automation Letters"
  month: 4
  start: 2779 # First page number
  end: 2786 # Last page number
  title: "ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots"
  issue: 2
  volume: 7
  year: 2022

GitHub Events

Total
  • Fork event: 1
Last Year
  • Fork event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 15
  • Total Committers: 2
  • Avg Commits per committer: 7.5
  • Development Distribution Score (DDS): 0.067
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Paolo Viceconte p****e@g****m 14
Daniele Pucci d****5@g****m 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: 1 day
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 4.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • paolo-viceconte (1)
Pull Request Authors
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Issue Labels
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Dependencies

dockerfiles/Dockerfile docker
  • ${from} latest build
dockerfiles/docker-compose.yml docker
  • ghcr.io/ami-iit/adherent-docker latest