Introducing booster_mjlab!
This is our Booster K1 mjlab setup! Including a velocity tracking task, motion tracking, an AMP implementation and more!
Project page + more (interactive) demos: intelligentroboticslab.github.io/booster_mjlab/
As a side note, don't mistake my QRT for one of the many comments mocking Agility's previous legs. I really loved them, and I'd even say I'm a bit sad they changed them :)
Introducing Digit 5.
Agility’s next-generation humanoid, engineered for cooperatively safe work at scale, allowing it to work in close proximity to people without the physical safety barriers required by traditional automation.
Explore Digit 5: agilityrobotics.com/solutions/digit
Watch the
I have watched a lot of humanoids walk over the last years. In my honest assessment, this is one of the better gaits out there - and it is still our very early stage. Congrats Martin Riedmiller & team!
We decided showing the alpha platform unblurred for the first time. Until now
🚀 Excited to give a talk with Erik Holum on mujoco_ros2_control: High-Fidelity Physics Simulator for ROS 2!
We’ll show how MuJoCo + ros2_control enables high-fidelity physics, fast simulation, real-time sensors, complex mechanisms, and more.
#ROSCon#MuJoCo@OpenRoboticsOrg
🎉 Excited to share our new work: UMR! 🎉
Unified Motion Retargeting (UMR) learns dense point-cloud correspondences to transfer human motion across diverse humanoid embodiments. It supports locomotion and contact-rich data.
Code is now open!
🌐: hanyang9.github.io/UMR/
🎉 Excited to share our new work: UMR! 🎉
Unified Motion Retargeting (UMR) learns dense point-cloud correspondences to transfer human motion across diverse humanoid embodiments. It supports locomotion and contact-rich data.
Code is now open!
🌐: hanyang9.github.io/UMR/
MuJoCo Menagerie is finally available on PyPI! No more cloning 2 GB to get your robot. You can load any model by name, pinned to a version, as an MjModel ready to simulate or an MjSpec ready to edit.
Try it today in 1 line:
uvx mujoco-menagerie view unitree_g1
Super happy to share our intention to join forces with NVIDIA in a $12,930,300,000 acquisition 💛💚
10 years after starting Hugging Face, open-source AI is at an inflection point. Thanks to the community, we’ve shown that it can be a complement, and even an alternative, to closed-source APIs. But for it to happen at larger scale, it needs more compute, more support, more collaboration and more visibility. That’s why we went to talk to Jensen, who offered to do exactly that with us.
In addition to doubling down on NVIDIA’s massive contributions to open-source AI (I called them the “King of American open-source AI” earlier this year), they’ve committed to strongly supporting Hugging Face and our mission while keeping the platform open, independent and compute agnostic. The founders and the team are all staying to keep pushing this mission forward.
Together, we think we can make open source the default way to build AI, with the goal of empowering 100 million AI builders to own their intelligence rather than rent it.
Excited about the next 10 years! 🤗🤗🤗
When people talk about robotics they think US and China. IMO the French scene is very underrated. They maintain the libraries everyone else builds on:
pinocchio, hpp-fcl, eigenpy, crocoddyl, proxsuite, aligator, pink, placo, lerobot and I'm pretty sure I'm missing a bunch
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Currently in Fukuoka, occasionally back in China, love tech, love robots, love selfies, love BTC
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