This page contains legacy MuJoCo releases from Roboti LLC (versions 2.0 and earlier) followed by the list of changes. These versions require an activation key. A free license with unlocked activation key …

It was developed by Roboti LLC and was available as a commercial product from 2015 to 2021. We are excited to announce that as of October 2021, DeepMind has acquired MuJoCo and has made it …

Preface This is an online book about the MuJoCo physics simulator. It contains all the information needed to use MuJoCo effectively. It includes introductory material, technical explanation of the …

Chapter 3 of the MuJoCo book focuses on modeling, providing insights and guidelines for creating accurate and efficient models in robotics.

Emo Todorov also "graduated" and is now working on research and development at Roboti LLC. This is an archival page, previously hosted at the University of Washington.

This is legacy documentation covering MuJoCo versions 2.0 and earlier. Updated documentation is available from DeepMind at www.mujoco.org Chapter 2: Computation Introduction This chapter …

See also citation data from Google Scholar PHD THESES Integration of control and dynamical systems perspectives to machine learning Motoya Ohnishi (2024). University of Washington Broad …

This is legacy documentation covering MuJoCo versions 2.0 and earlier. Updated documentation is available from DeepMind at www.mujoco.org Chapter 4: Programming Introduction This chapter is …

This chapter provides a comprehensive XML reference for MuJoCo, detailing syntax and features for creating and customizing physics simulations.

The significance of designing anthropomorphic robotic hands most likely originates from the expectation of using motorized prosthetic hand to restore lost hand dexterity. Although there is still no consensus …