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I’m excited to finally show off fast and robust differentiable collision detection between pairs of convex primitives! paper: arxiv.org/abs/2207.00669 code: github.com/kevin-tracy/Di…

Introducing 𝗥𝗼𝗯𝗼𝗣𝗶𝗮𝗻𝗶𝘀𝘁 🎹🤖, a new benchmark for high-dimensional robot control! Solving it requires mastering the piano with two anthropomorphic hands. This has been one year in the making, and I couldn’t be happier to release it today! Some highlights below:

I just spent a couple weekends working on a Web Assembly port of MuJoCo, for running robotics simulations in the browser! Live Demo Inside: github.com/zalo/mujoco_wa…

Some screen-captures of MuJoCo MPC's Quadruped task. 100% open-source, go play! youtu.be/esLuwaWz4oE

robot hand + rubik's cube engine: MuJoCo cube model: Kevin Zakka planning + control: MuJoCo MPC github.com/deepmind/mujoc…

🤖Excited to share our project where we propose to use rewards represented in code as a flexible interface between LLMs and an optimization-based motion controller. website: language-to-reward.github.io Want to learn more about how we make a robot dog do moonwalk MJ style?🕺🕺

Foundation models can dexterously manipulate the world of bits but what about the world of atoms? Excited to introduce 🤖RoboCat🐈, the first foundation agent: ✅ multi-embodiment ✅ self-improves ✅ vision to action ✅ dexterous & generalist: 100s of tasks + objects How? 👇🧵

Introducing Unitree H1: Its First General-purpose Humanoid Robot| Embodied AI, Price below $90k The preview of half-a-year achievement The highest-power-performance robot of its counterparts with similar specifications in the world, weigh ~47Kg, maximum joint torque of 360N.m

Introducing a new language-to-reward system for interfacing LLMs with robots using reward functions. Learn how the system’s predictive control tool enables users to teach robots novel actions using natural language inputs → goo.gle/44kjHXx

Even after 4yrs of locomotion research, we keep getting surprised by how far we can push the limits of legged robots! We report a major update 🚀🤖 Extreme Parkour: extremely long & high jumps, ramp, handstand, etc. all with a single neural net! extreme-parkour.github.io 🧵(1/n)

Introducing MuJoCo 3.0: a major new release of our fast, powerful and open source tool for robotics research. 🤖 📈 GPU & TPU acceleration through #JAX 🖼️ Better simulation of more diverse objects - like clothes, screws, gears and donuts 💡 Find out more: mujoco.org/3

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.

Fauna Robotics: a new NYC-based robotics startup, co-founded by my dear NYU colleague Lerrel Pinto.

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…

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

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 btaba trained (~2M steps per second on an A100). Colab to reproduce: colab.research.google.com/github/google-…

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

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

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