dm_robotics_panda

Panda model for dm_robotics

https://github.com/jeanelsner/dm_robotics_panda

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: sciencedirect.com
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.0%) to scientific vocabulary

Keywords

panda reinforcement-learning robot simulation
Last synced: 6 months ago · JSON representation ·

Repository

Panda model for dm_robotics

Basic Info
Statistics
  • Stars: 35
  • Watchers: 1
  • Forks: 5
  • Open Issues: 2
  • Releases: 0
Topics
panda reinforcement-learning robot simulation
Created over 2 years ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md

dm_robotics_panda Logo

Model and Tools for the Panda Robot in dm_robotics

Continuous Integration Apache-2.0 License Pylint score PyPI - Published Version PyPI - Python Version Documentation

This package includes a model of the Panda robot for dm_robotics, tools to build simulation environments suited for reinforcement learning, and allows you to run these simulations with real hardware in the loop.

Hardware in the loop operation.

Run your dm_robotics simulation environment on the real hardware without modification.

Haptic interaction mode.

Haptic interaction mode allows you to physically interact with the simulation environment.

To get started, checkout the tutorial.

Install

The recommended way of installing is using PyPI: pip install dm-robotics-panda Alternatively, you can install this package from source by executing pip install . in the repository's root directory.

Requirements

Hardware-in-the-loop operation requires panda-py to control the robot. However, the version automatically installed from PyPI may not be compatible with your robot if you use an older firmware or use the new Franka Research 3 robot. In that case refer to the panda-py instructions on what version to install and where to find it.

If you're having trouble running the included viewer or rendering scenes, please refer to the requirements of dm_control.

Citation

If you use dmroboticspanda in published research, please consider citing the original software paper.

@article{elsner2023taming, title = {Taming the Panda with Python: A powerful duo for seamless robotics programming and integration}, journal = {SoftwareX}, volume = {24}, pages = {101532}, year = {2023}, issn = {2352-7110}, doi = {https://doi.org/10.1016/j.softx.2023.101532}, url = {https://www.sciencedirect.com/science/article/pii/S2352711023002285}, author = {Jean Elsner} }

Owner

  • Name: Jean Elsner
  • Login: JeanElsner
  • Kind: user
  • Location: Munich
  • Company: Technical University of Munich

Research Associate at the Munich Institute of Robotics and Machine Intelligence

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Elsner"
  given-names: "Jean"
  orcid: "https://orcid.org/0000-0003-2691-0099"
title: "panda-py"
url: "https://github.com/JeanElsner/panda-py"
preferred-citation:
  type: article
  authors:
  - family-names: "Elsner"
    given-names: "Jean"
    orcid: "https://orcid.org/0000-0003-2691-0099"
  doi: "https://doi.org/10.1016/j.softx.2023.101532"
  url: "https://www.sciencedirect.com/science/article/pii/S2352711023002285"
  journal: "SoftwareX"
  start: 101532
  title: "Taming the Panda with Python: A powerful duo for seamless robotics programming and integration"
  issn: "2352-7110"
  volume: 24
  year: 2023

GitHub Events

Total
  • Issues event: 4
  • Watch event: 11
  • Issue comment event: 2
  • Push event: 6
  • Fork event: 3
Last Year
  • Issues event: 4
  • Watch event: 11
  • Issue comment event: 2
  • Push event: 6
  • Fork event: 3

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 88
  • Total Committers: 1
  • Avg Commits per committer: 88.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 88
  • Committers: 1
  • Avg Commits per committer: 88.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
JeanElsner j****r@g****m 88

Issues and Pull Requests

Last synced: about 2 years ago

All Time
  • Total issues: 2
  • Total pull requests: 5
  • Average time to close issues: N/A
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 1.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 5
  • Average time to close issues: N/A
  • Average time to close pull requests: about 1 hour
  • Issue authors: 2
  • Pull request authors: 1
  • Average comments per issue: 1.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • sachinkundu (1)
  • TheGoblinTechies (1)
  • BigJohnn (1)
  • RebackLI (1)
Pull Request Authors
  • JeanElsner (8)
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