Metadata-Version: 2.5
Name: riggen
Version: 0.0.1
Summary: The blazingly fast, lightweight robot assembler for RL researchers — name reservation; the app ships as 0.1.0
Project-URL: Repository, https://github.com/Divelix/riggen
Author: Sergei Sergienko
License-Expression: MIT OR Apache-2.0
License-File: LICENSE-APACHE
License-File: LICENSE-MIT
Keywords: mjcf,mujoco,reinforcement-learning,robotics,simulation,urdf
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Rust
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.10
Description-Content-Type: text/markdown

# riggen

**The blazingly fast, lightweight robot assembler for RL researchers.**

Drop STL/OBJ meshes into a native GPU window, build the kinematic tree,
place joints by clicking the bore, compute sim-ready inertials and
collision geometry, export MJCF and URDF — and import a URDF to fix and
convert it. Rust + egui + wgpu, shipped as a Python wheel; a Python SDK
follows.

**This release is a name reservation.** It installs a `riggen` command that
says so and nothing else. The application ships as `riggen` 0.1.0; until
then, development happens in the open at
<https://github.com/Divelix/riggen>.

Licensed under MIT or Apache-2.0, at your option.
