Set of robot URDFs for benchmarking and developed examples.
Project description
Example robot URDFs
This repository includes a set of robot descriptions that are aimed to be used in benchmarking, unit-tests, teachings, tutorials or show-cases. These source files do not intend to substitute their original repositories.
:penguin: Installation
:package: From Debian / Ubuntu packages, with robotpkg
-
If you have never added robotpkg's software repository, do it now:
sudo tee /etc/apt/sources.list.d/robotpkg.list <<EOF deb [arch=amd64] http://robotpkg.openrobots.org/packages/debian/pub $(lsb_release -sc) robotpkg EOF curl http://robotpkg.openrobots.org/packages/debian/robotpkg.key | sudo apt-key add - sudo apt update
-
installation of example-robot-data and its python utils:
sudo apt install robotpkg-py3\*-example-robot-data
:snake: From
As simple as that:
conda install example-robot-data -c conda-forge
:turtle: With ROS
Just clone it (with --recursive
) into a catkin workspace.
:file_folder: From source
Clone it (with --recursive
), create a build
directory inside, and:
cmake .. && make && make install
:robot: Show a robot with gepetto-gui
python -m example_robot_data -h
to list available robots.
:copyright: Credits
:writing_hand: Written by
- Carlos Mastalli, The University of Edinburgh :uk:
- Guilhem Saurel, LAAS-CNRS :fr:
:construction_worker: With contributions from
- Justin Carpentier, INRIA :fr:
- Pierre Fernbach, LAAS-CNRS :fr:
- Florent Lamiraux, LAAS-CNRS :fr:
- Wolfgang Merkt, University of Oxford :uk:
- Josep Martí Saumell, IRI: CSIC-UPC :es:
- Louis Montaut, INRIA :fr:, CTU :czech_republic:
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distributions
Close
Hashes for example_robot_data_jnrh2023-4.0.7-2025-py311-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 641ec32a13e7baa99d6b053ab3114fc25174a4b35a86b917269b55b0a7d228bc |
|
MD5 | 5c65d8dc68151f954514e19aac92aae4 |
|
BLAKE2b-256 | edab2f761a5a08f707fb85b82833d4d316c280c764e2880913288a9511523d20 |
Close
Hashes for example_robot_data_jnrh2023-4.0.7-2025-py310-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 81fb9ce5e93d007a0ceec0c3c9d46fe411b419c422722cfb2ac5c9c1362f970c |
|
MD5 | 365a5ce59ba55f1321c1237671e956ca |
|
BLAKE2b-256 | 11dd9f15fb32d432f67d6211131d6b467cb4f7d454c7529543bd902b0e48e139 |
Close
Hashes for example_robot_data_jnrh2023-4.0.7-2025-py39-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e8fe640def59acc7a0c302dca4c5c4034e3b81fc833cf96e811b69f1ffc48108 |
|
MD5 | 31e4c281e24a00fc6b4daa1d718df018 |
|
BLAKE2b-256 | b5f39556204decbad66f9d6aacfb53e2af10d5eac69cb09ad7c6ac18bcead5bd |
Close
Hashes for example_robot_data_jnrh2023-4.0.7-2025-py38-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0f078a5a4ddcf9772414766e99f5e1bd35ebf3c97681adec6437bd6df5c64550 |
|
MD5 | 48a41c88379783ecf9e73d204415f6d8 |
|
BLAKE2b-256 | bb9042a50f6282e2651b3082706dd327da6732761b37589df0d33453998d80da |