MuJoCo, short for Multi-Joint dynamics with Contact, is a general purpose physics engine that is tailored to scientific use cases such as robotics, biomechanics and machine learning. It was first described in 2012 in a paper by

Emanuel Todorov Emanuel (Emo) Vassilev Todorov (born 1971), a neuroscientist, is an associate professor and director of the Movement Control Laboratory at the University of Washington. He introduced the use of optimal control as a formal explanatory framework ...

, Tom Erez, and Yuval Tassa, and later commercialized under Roboti LLC. According to a

Google Scholar Google Scholar is a freely accessible web search engine that indexes the full text or metadata of Academic publishing, scholarly literature across an array of publishing formats and disciplines. Released in Beta release, beta in November 2004, th ...

search, as of April 2024 the original publication has been cited 5329 times, and the MuJoCo engine 9250 times. It was described by Zhao and Queralta in their review as one of "the most widely used simulators in the literature". MuJoCo was acquired by

Google DeepMind DeepMind Technologies Limited, trading as Google DeepMind or simply DeepMind, is a British–American artificial intelligence research laboratory which serves as a subsidiary of Alphabet Inc. Founded in the UK in 2010, it was acquired by Goo ...

in October 2021 and open-sourced under the Apache 2.0 license in May 2022. Parts of the Deepmind control suite are powered by the MuJoCo engine.

References

External links

*
Official Documentation
*https://gymnasium.farama.org/environments/mujoco/ *https://www.therobotreport.com/mujoco-3-simulator-a-result-of-unified-efforts-at-google/ Free physics software Free software programmed in C Free software programmed in C++ Free software programmed in Python Free software programmed in C Sharp Free computer libraries Software using the Apache license {{Compu-library-stub

See also

References

External links