{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/8"}],"enrichment":{"capability":"Converts MuJoCo MJCF robot model files into OpenUSD layers for visualization, rendering, and simulation in USD-compatible applications.","skillfed_tags":["robotics","physics-simulation","3d-graphics"],"use_cases":["Export a robot model from MuJoCo to USD for visualization and inspection in usdview or other USD viewers.","Convert MJCF datasets into USD for use in Newton simulations.","Prepare robot assets for rendering in NVIDIA Omniverse by converting from MuJoCo's native format.","Integrate MuJoCo-trained robot models into other applications via USD import.","Generate USD physics assets with both UsdPhysics and MjcPhysics schemas for multi-engine compatibility.","Automate batch conversion of MJCF robot libraries into a unified USD asset repository."],"what_it_does":"This package bridges MuJoCo's MJCF robot model format and the OpenUSD ecosystem by converting MJCF files into self-contained USD layers. It parses robot geometry, materials, collision shapes, joints, and actuators from MJCF and authors them as USD Prims with both UsdPhysics and MjcPhysics schemas, enabling the same model to be visualized in USD viewers or simulated in Newton or other USD-aware physics engines.\n\nThe converter works as both a command-line tool and a Python module, producing atomic, standalone USD assets that require no connection to the original MJCF or mesh files. It is part of the Newton physics project and implements a conceptual data mapping developed collaboratively by Google DeepMind and NVIDIA. The package is currently in alpha with known limitations; it depends on mujoco, usd-exchange, numpy-stl, tinyobjloader, and newton-usd-schemas.","worth_installing":"Yes, if you work with MuJoCo models and need to export them to the USD ecosystem. The package is actively maintained, has low install friction, and solves a specific interoperability problem between two major physics and graphics standards. Be aware it is in alpha\u2014review the changelog for known limitations before relying on it for production workflows. No security vulnerabilities are known."},"id":"mujoco-usd-converter","links":{"html":"https://skillfed.io/packages/mujoco-usd-converter","md":"https://skillfed.io/packages/mujoco-usd-converter.md","pypi":"https://pypi.org/project/mujoco-usd-converter/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-05","license_spdx":null,"license_treatment":"permissive","name":"mujoco-usd-converter","python_support":"capped_below_current","summary":"A MuJoCo to OpenUSD Data Converter"},"popularity":{"monthly_downloads":83640,"position":14059,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.0"}
