MuJoCo Warp #2511
Replies: 11 comments
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Can't wait! |
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🚀🚀🚀🚀 |
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Lets go! |
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Awesome! |
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Thanks for this work, struggle on mjx backward for large scene and object for a long time!!! |
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🚀🚀🚀 |
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🤩 |
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🚀🚀🚀 |
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Will MJWarp produce faster finite element-based simulations (e.g. using MuJoCo's elasticity model)? |
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Nice!! Give me that link 🤩 |
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Can't wait! |
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Google DeepMind and NVIDIA have teamed up on a new open source implementation of MuJoCo called MuJoCo Warp (MJWarp)!
MJWarp is a GPU-optimized version of MuJoCo, designed for NVIDIA hardware. MJWarp uses NVIDIA Warp to circumvent many of the sharp bits in MuJoCo MJX - MuJoCo simulations of more complex scenes (such as manipulation tasks) run >100x faster in MJWarp compared to MJX today.
For those attending NVIDIA GTC in San Jose, we will share some details of MuJoCo Warp at the following talk: Physical AI for Humanoids: How Google Robotics Uses Simulation to Accelerate Humanoid Robotics Training
MuJoCo Warp is now available at https://github.com/google-deepmind/mujoco_warp
The code is in an early Alpha version with many features still missing. Once MJWarp exits Alpha, it will be integrated into MJX - anyone who uses MJX today will instantly benefit.
Look forward to seeing you at GTC!
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