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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

发表年份
2025
引用次数
3
访问权限
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摘要

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.

关键词

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

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