robomotic

robomotic / mujoco-motors

Public

A database of motor specs for mujoco,mjax and mjlab

11
1
100% credibility
Found Mar 30, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A community database of standardized motor specifications, 3D models, and helper tools for creating accurate virtual robot motors in MuJoCo simulations.

How It Works

1
💭 Dream of a better simulation

While tinkering with your virtual robot, you notice a real-world motor missing from simulation libraries.

2
📖 Hunt for motor facts

You grab the official product sheet from the motor company's website full of performance numbers.

3
📝 Sketch the motor profile

You jot down all the key details you found, like power needs and strength, into a simple outline.

4
✨ Magic gap filler

The handy science tool steps in to calculate and add any missing numbers automatically – it feels like wizardry!

5
✏️ Polish the details

You review and add any unique extras from the sheet, making sure your motor profile shines.

6
✅ Quality check time

You run the friendly checker to confirm everything fits perfectly with no issues – all good!

7
📄 Update the showcase

The updater refreshes the maker's page with your new motor's status and highlights.

🚀 Join the robot builders

You share your addition with the community, powering up simulations for everyone including your own projects!

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Star Growth

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AI-Generated Review

What is mujoco-motors?

This Python repo delivers a standardized brushless motor database for MuJoCo, mjax, and mjlab simulations, packing real-world specs like torque constants, thermal limits, and voltage ranges into JSON files alongside 3D meshes for CAD integration. It solves the hassle of scraping datasheets and guessing missing params for accurate robot sims, acting as a github database project with vendor-organized assets. Run CLI tools to extrapolate physics-derived values, validate schemas, or auto-generate vendor status pages.

Why is it gaining traction?

Unlike scattered datasheet PDFs or ad-hoc models, it enforces a rigid schema with auto-fills for gaps like stall current or back-EMF, plus validation to catch errors before sims crash. As a database github repo with contribution workflows, it's dead simple to add motors via PRs, and ties directly into mjlab for plug-and-play robotics. Devs dig the motorsport database editor vibe for quick iterations without reinventing motor math.

Who should use this?

MuJoCo robotics engineers modeling actuators for legged bots or arms, tired of faking motor params. mjlab users needing a motorcycle database api equivalent for sim fidelity, or teams prototyping hardware-in-loop with real vendor data like Maxon or T-Motor.

Verdict

Solid foundation for mjlab workflows despite 11 stars and 1.0% credibility score—docs are crisp, tools work out of the box, but it's early; fork and contribute if you're deep in MuJoCo motorsims. Worth watching for robotics sim stacks.

(178 words)

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