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 …

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 …

ROBOTI LLC AND DEEPMIND TECHNOLOGIES LIMITED (COLLECTIVELY, LICENSORS) SPECIFICALLY DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING BUT …

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 …

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 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 …

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

We demonstrate control and learning of tendon driven bio-mechanical and robotic systems, under difficult-to-model real-world conditions. This work is part of a bigger project in which the …

MuJoCo Pro Individual license activation key, number 7777, type 6. Issued to Everyone. Expires October 18, 2031. Do not modify this file. Its entire content ...

Yuval Tassa†, Nicolas Mansard∗ and Emo Todorov† Abstract—Trajectory optimizers are a powerful class of methods for generating goal-directed robot motion. Differential Dynamic …