Skip to main content

Browser-based MuJoCo simulation with real-time policy control

Project description

mjswan

Real-time Interactive RL Simulation in Your Browser

deploy test docs pypi version npm version

mjswan is a powerful framework for creating interactive MuJoCo simulations with real-time policy control, running entirely in the browser. Built on top of mujoco wasm, onnxruntime, and three.js, it enables easy sharing of RL simulation demos as static sites, perfect for GitHub Pages hosting.

Check out the demo ― ttktjmt.github.io/mjswan

mjlab Demo   Robot Descriptions Demo   MuJoCo Playground Demo   MyoSuite Demo


Features

  • Real-time: Run mujoco simulations and policy control in real time.
  • Interactive: Change the state of objects by applying forces.
  • Cross-platform: Works seamlessly on desktop and mobile devices.
  • VR Support: Native VR viewer support with WebXR.
  • Client-only: All computation runs in the browser. No server for simulation is required.
  • Easy Sharing: Host as a static site for effortless demo distribution (e.g., GitHub Pages).
  • Portable: Embed the simulation in a web page or Google Colab notebook.
  • Customizable: Visualize your mujoco models and onnx policies quickly.

Quick Start

mjswan can be installed with pip:

pip install mjswan  # or 'mjswan[dev]', 'mjswan[examples]'

or with npm:

npm install mjswan

You can run the demo using the uv command with the python package mjswan[examples]:

uv run main

The minimum python script for a sanity check:

import os, mujoco, mjswan

model_path = os.path.join(os.path.dirname(mujoco.__file__), "testdata", "model.xml")
mjspec = mujoco.MjSpec.from_file(model_path)

builder = mjswan.Builder()
builder.add_project(name="Sanity Check").add_scene(name="Test Model", spec=mjspec)
app = builder.build()
app.launch()

For detailed instructions, visit the documentation.

Third-Party Assets

mjswan incorporates mujoco models from the external sources in its demo. See the respective submodule for full details, including individual model licenses and copyrights. All models are used under their respective licenses. Please review and comply with those terms for any use or redistribution.

Robot Descriptions LicenseMuJoCo Playground LicenseMyoSuite License

Acknowledgments

This project was greatly inspired by the Facet project demo from the research group at Tsinghua University.
It is also built upon the excellent work of zalo/mujoco_wasm, one of the earliest efforts to run MuJoCo simulations in a browser.

License

This project is licensed under the Apache-2.0 License. When using mjswan, please retain attribution notices in the app to help other users discover this project.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mjswan-0.5.0.tar.gz (9.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mjswan-0.5.0-py3-none-any.whl (9.8 MB view details)

Uploaded Python 3

File details

Details for the file mjswan-0.5.0.tar.gz.

File metadata

  • Download URL: mjswan-0.5.0.tar.gz
  • Upload date:
  • Size: 9.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for mjswan-0.5.0.tar.gz
Algorithm Hash digest
SHA256 b0bfb6a17935b7fc97a3d63b842b855bdf3ae68f1e28b461777954db56925611
MD5 a37462ba7a467f7cde94fdaa25b01312
BLAKE2b-256 492d80f6d5128d50de29784bc0e93217a47058fd405759ad082aa24c1db412f6

See more details on using hashes here.

File details

Details for the file mjswan-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: mjswan-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 9.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for mjswan-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1e276572b93f9d0bd9032ad2095302ddfc792e267fda1a1bef8afaeee341a214
MD5 d8aba8eea640c68fe3039e2df322d281
BLAKE2b-256 fd2b6c90edc9835116c7fff655bf089aefbe68e327ab8cfe82e9551063690785

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page