robot_descriptions
Import open source robot description as Python modules.
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and solves a real problem for robotics work—centralizing access to open-source robot descriptions across multiple simulation tools. It's particularly valuable if you work with multiple robotics frameworks or need reproducible model loading in scripts and experiments.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- The robotics software you want to load into (Pinocchio, MuJoCo, etc.) must be installed separately.
- Low install friction with only two runtime dependencies (GitPython and tqdm).
License · maintenance · safety
permissive license (permissive) — Permissive license treatment means you can use this package freely in commercial and private projects without restrictive obligations, though individual robot descriptions may have their own licenses.
last release 2026-07-23 (22 days) · last repo commit 2026-08-04 · 807 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 107,636 downloads/mo, #12,605 on PyPI
Alternatives
Verify before relying
pip install robot_descriptions
from robot_descriptions.loaders.pinocchio import load_robot_description
robot = load_robot_description("upkie_description")- How many robot descriptions are currently available in the Awesome Robot Descriptions collection.
- Whether Xacro rendering (mentioned for some descriptions) requires additional system dependencies.
- Performance characteristics when caching large robot description files.
What it is and what it does
robot_descriptions is a Python library that provides a unified interface to import open-source robot descriptions as Python modules. When you import a description for the first time, it automatically downloads and caches the files locally for future use. The library wraps descriptions in multiple formats (URDF and MJCF) and exposes them through loader functions tailored to popular robotics simulation and analysis software.
The package is designed for roboticists and simulation engineers who need to work with standardized robot models across different tools. Instead of manually managing robot description files and format conversions, you import a description by name and get back an object ready to use in your chosen robotics software—whether that's MuJoCo for physics simulation, Pinocchio for dynamics computation, or PyBullet for interactive visualization. The caching mechanism means subsequent imports are instant.
Use it for
- Load a robot arm description into Pinocchio to compute inverse kinematics or dynamics.
- Fetch and cache a quadruped model in MuJoCo for physics-based simulation and control experiments.
- Import a humanoid description into PyBullet for reinforcement learning training.
- Visualize a mobile manipulator in RoboMeshCat or MeshCat without manually downloading files.
- Access standardized robot descriptions from the command line using the CLI tool for quick inspection.
- Render Xacro-based descriptions to URDF automatically when loading robot models.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and solves a real problem for robotics work—centralizing access to open-source robot descriptions across multiple simulation tools. It's particularly valuable if you work with multiple robotics frameworks or need reproducible model loading in scripts and experiments.
Install
robot-descriptions on PyPI
Before you install
Low install friction with only two runtime dependencies (GitPython and tqdm). Package is actively maintained with a recent release (22 days old) and a stable codebase (807 stars, last commit 2026-08-04).
Requires Python 3.10 or later. The robotics software you want to load into (Pinocchio, MuJoCo, etc.) must be installed separately.
License in practice
Permissive license treatment means you can use this package freely in commercial and private projects without restrictive obligations, though individual robot descriptions may have their own licenses.
Quickstart
pip install robot_descriptions
from robot_descriptions.loaders.pinocchio import load_robot_description
robot = load_robot_description("upkie_description")
Verify before relying
- How many robot descriptions are currently available in the Awesome Robot Descriptions collection.
- Whether Xacro rendering (mentioned for some descriptions) requires additional system dependencies.
- Performance characteristics when caching large robot description files.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesGitPythontqdm |
| Maintenance | Actively maintained 22 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 107,636 / month, #12,605 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: Robot Framework :: LibraryIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Topic :: Scientific/Engineering |
Evidence: robot_descriptions-3.1.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “robot description loader”
- robot_descriptionsDownloads and caches open-source robot descriptions (URDF and MJCF…
- cmeel-urdfdomParses URDF (U-Robot Description Format) XML files into Python data…
- yourdfpyLoads, manipulates, validates, and visualizes URDF robot description…
Give your agent the search over MCP, or paste the wish link into any chat.
More Scientific/Engineering packages
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.
scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.
scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.
Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.
dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.
Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.
Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.
See also pybullet · yourdfpy · mujoco-usd-converter · mjviser · libpinocchio · mink · cmeel-urdfdom · mujoco-warp · pin · xmacro