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
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