Awesome work on the OSS robot, thanks for using MuJoCo/ MJX !!

our latest work on sim2real for dexterous robotic tasks is out. we train RGB-only policies from scratch in sim and have them generalise to real. check Ritvik’s main thread for details

This should be a great session - Erik Frey will present some exciting new results using NVIDIA Warp for GPU accelerated robotics.

✨🤖 Today our team is so excited to bring Gemini 2.0 into the physical world with Gemini Robotics, our most advanced AI models to power the next generation of helpful robots. 🤖✨ Check it out! youtube.com/watch?v=4MvGnm… And read our blog: deepmind.google/discover/blog/… We are looking

Super excited! Critical bottlenecks from MJX are finally removed with Warp...the biggest complaints from MJX are solved :)

You can read more about Newton here: developer.nvidia.com/blog/announcin…, and if you're at GTC come by the NVIDIA booth to chat with us about physics simulation and robotics!

The future is to transfer these techniques to manipulation

“Surely, surely the [scaling trend which has held for several orders of magnitude] will not continue!” > the scaling trend continues for another order of magnitude “Ah, nevertheless!”

My G1 humanoid home setup to test NVIDIA's new GROOT-N1 model, led by Jim Fan and Yuke Zhu . Sitting in a wheel chair to focus on manipulation, with a test data set on Huggingface: huggingface.co/spaces/lerobot… nvidianews.nvidia.com/news/nvidia-is… With Alt-Bionics hands and MANUS™ gloves.

🚀 We’re releasing #LocoMuJoCo2 — An extensive library for whole-body imitation & RL. 🔥 Highlights: - Supports MuJoCo & MJX - Clean JAX impl of PPO, GAIL, AMP, DeepMimic - 22K+ trajectories per humanoid - Add your humanoid easily 🔗 github.com/robfiras/loco-… 🧵Details 👇

We built an AI model to simulate how a fruit fly walks, flies and behaves – in partnership with HHMI | Janelia. 🪰 Our computerized insect replicates realistic motion, and can even use its eyes to control its actions. Here’s how we developed it – and what it means for science. 🧵

In addition to the SAS paper (lnkd.in/gSaUhVzb), today we are releasing the dataset of table tennis ball trajectories used to train the Google DeepMind robot that can play amateur table tennis with humans (lnkd.in/gMNdmfG6). Github: github.com/google-deepmin…

Join experts Yuval Tassa from Google DeepMind and Miles Macklin from NVIDIA at #GTCParis to learn about Newton, an open-source, extensible physics engine for robotics simulation, co-developed by Disney Research, Google DeepMind and NVIDIA. Gain insights into breakthroughs in

It's been amazing to see this model generalize to new scenarios and instructions in both simulation and the real world! We have open sourced the sim environment here github.com/google-deepmin…

We’re super thrilled to have received the Outstanding Demo Paper Award for MuJoCo Playground at RSS 2025! Huge thanks to everyone who came by our booth and participated, asked questions, and made the demo so much fun! Carlo Sferrazza Qiayuan Liao Arthur Allshire

Amazing results!