taylor howell

my @DeepMind project is out! MuJoCo MPC (MJPC) is an interactive tool for real-time behavior synthesis with predictive control algorithms. paper: arxiv.org/abs/2212.00541 code: github.com/deepmind/mujoc… video: dpmd.ai/mjpc

Really excited to see the creativity and community engagement around mjlab 😍 Here’s a thread of what people are building 🧵👇

MuJoCo 3.5 is out, including the official MJWarp release, a new sysID toolbox and lots of other goodies! github.com/google-deepmin…

first waymo ride

f a s h i o n

Happy Monday! We just added raycast sensors to mjlab. They let a robot sample the scene with virtual rays, returning distances and surface geometry. Rays can use orthographic projection for terrain scanning or perspective projection for simulating a depth camera.

here we go

Ever wanted to simulate an entire house in MuJoCo or a very cluttered kitchen? Well now you can with the newly introduced sleeping islands: groups of stationary bodies that drop out of the physics pipeline until disturbed. Check out Yuval's amazing video and documentation 👇

MuJoCo now supports sleeping islands! youtu.be/vct493lGQ8Q #sleeping" target="_blank" rel="nofollow noopener">mujoco.readthedocs.io/en/latest/comp…

We open-sourced the full pipeline! Data conversion from MimicKit, training recipe, pretrained checkpoint, and deployment instructions. Train your own spin kick with mjlab: github.com/mujocolab/g1_s…

Absolutely thrilled and honored to be working on defining the future of Robotics and bring AGI in the physical world at @GoogleDeepMind 🧠🦾✨❤️

I'm super excited to announce mjlab today! mjlab = Isaac Lab's APIs + best-in-class MuJoCo physics + massively parallel GPU acceleration Built directly on MuJoCo Warp with the abstractions you love.

📣 #MuJoCo Announcement 📣 : MuJoCo Warp is now available in MJX for all MuJoCo Playground environments, achieving up to 2x speedup in more complex contact-rich scenes. Check it out and have fun! @GoogleDeepMind Robotics github.com/google-deepmin…

We’re making robots more capable than ever in the physical world. 🤖 Gemini Robotics 1.5 is a levelled up agentic system that can reason better, plan ahead, use digital tools such as @Google Search, interact with humans and much more. Here’s how it works 🧵

The ultimate test of any physics simulator is its ability to deliver real-world results. With MuJoCo Playground, we’ve combined the very best: MuJoCo’s rich and thriving ecosystem, massively parallel GPU-accelerated simulation, and real-world results across a diverse range of robot platforms: quadrupeds, humanoids, dexterous hands, and arms. Best of all? You can get started today with a single command: pip install playground playground.mujoco.org

Center-of-mass regulation + feet/hands on the G1 humanoid.

Differential inverse kinematics controller on a Go1 quadruped regulating the pose of the root body and the position of the feet.

MuJoCo 3.1.6 has just been released! MJX now comes with out-of-the-box support for height fields. Check out this joystick policy that @the_real_btaba trained (~2M steps per second on an A100). Colab to reproduce: colab.research.google.com/github/google-…

Pretty happy with the new gallery in the MuJoCo Menagerie README 😁

Easily replicate elements in MuJoCo models. The scene files in the video are both short and readable. Three Bowls: 45 lines. Newton's cradle: 70 lines. Stonehenge: 40 lines. youtu.be/5k0_wsIRAFc?si…

At Fauna Robotics, we are creating a world where human and robotic fauna coexist, collaborate, and flourish together. 🌿🤖 Our founding team has deep backgrounds in robotics, shipping products, and company building. We're hiring across research, design, and eng roles in NYC.