Mujoco_playground

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mujoco_playground is an open-source library for GPU-accelerated robot learning. It provides a comprehensive suite of environments for research and sim-to-real transfer, built with MuJoCo MJX.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is mujoco_playground?

MuJoCo Playground is an open-source library developed by Google DeepMind, offering a comprehensive suite of GPU-accelerated environments for advanced robot learning research and sim-to-real transfer. Built with MuJoCo MJX, it includes classic control environments from dm_control, quadruped and bipedal locomotion environments, and non-prehensile and dexterous manipulation environments. The library also features vision-based support via the MJWarp Batch Renderer. It supports training with both the MuJoCo MJX JAX implementation and the MuJoCo Warp implementation, making it a versatile tool for developers and researchers in robotics.

Best used for

Ideal for developers and data scientists who need to conduct advanced robotics research, simulate complex robotic systems, and perform sim-to-real transfer. Especially valuable for those working with GPU-accelerated environments and requiring a comprehensive suite of locomotion and manipulation tasks.

Common actions

simulate robotics

accelerate robot learning

develop robot behaviors

research robotics

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Capabilities

Key features

GPU-accelerated environments
Robot learning research
Sim-to-real transfer
Locomotion environments
Manipulation environments
Vision-based support

Target Audience

developerdata scientistprofessorstudent

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of robotic environments does MuJoCo Playground offer?

MuJoCo Playground provides a diverse set of environments, including classic control tasks from dm_control, various quadruped and bipedal locomotion scenarios, and both non-prehensile and dexterous manipulation environments. It's designed to cover a broad spectrum of robot learning challenges.

Does MuJoCo Playground support vision-based tasks?

Yes, MuJoCo Playground includes vision-based support through the MJWarp Batch Renderer. This allows researchers to integrate visual perception into their robot learning experiments, enabling more complex and realistic sim-to-real transfer scenarios.

How can I contribute to the MuJoCo Playground project?

You can contribute by exploring the library's features, reporting bugs in the issue tracker, or by following the contribution guidelines if you are a developer with robotics experience. The project welcomes community involvement to enhance its capabilities.

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