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Demonstrating MuJoCo Playground

Kevin Zakka, Baruch Tabanpour, Qiayuan Liao, Mustafa Haiderbhai, Samuel Holt, Jing Yuan Luo, Arthur Allshire, Erik Frey, Koushil Sreenath, Carmelo Sferrazza, Yuval Tassa, Pieter Abbeel

Year
2025
Citations
3
Access
Open access

Abstract

We introduce MuJoCo Playground, a fully opensource framework for robot learning built with MJX, with the express goal of streamlining simulation, training, and simto-real transfer onto robots.With a simple pip install playground, researchers can train policies in minutes on a single GPU.Playground supports diverse robotic platforms, including quadrupeds, humanoids, dexterous hands, and robotic arms, enabling zero-shot sim-to-real transfer from both state and pixel inputs.This is achieved through an integrated stack comprising a physics engine, batch renderer, and training environments.Along with video results, the entire framework is freely available at playground.mujoco.org.

Keywords

RobotState (computer science)Transfer (computing)Simple (philosophy)Robotic armPixelStack (abstract data type)

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