Open-sourcing pal_mjlab -- the RL work I did at PAL Robotics. Velocity tracking, motion imitation, and dual-arm reaching across KANGAROO, TALOS, and TIAGo Pro. Multiple tasks transferred to real hardware, all built on @kevin_zakka's mjlab.
We release Wuji MJLab, an open-source MuJoCo environment for dexterous hand manipulation.
It includes a cube reorientation task, a sim2real pipeline, and the setup needed to reproduce the system.
We will be at ICRA booth 121 with a live demo and welcome discussions on dexterous manipulation.
Code: https://t.co/EpJMcozjnV
Contributors: Jielin Wu, @yaoshzh, @BergerHunger, Li Chengmeng.
This project is based on @kevin_zakka’s mjlab project.
https://t.co/531oWVobqF
In this work we explored how to repurpose terrain-aware human locomotion skills in a scalable and versatile way: like the action-free world model, we predict how humans will move online, and then let the humanoid track it with RL.
100 FREE LUMOS NIX: LUMOS Robotics Officially Launches Project EDGE!
LUMOS Robotics Founder & CEO Yu Chao officially introduces Project EDGE — inviting global builders, universities, robotics labs, and creative technologists to explore the future of humanoid robotics together.
To supercharge the global developer community, we are providing 100 complimentary LUMOS NIX robots to selected global partners.
Selected partners will receive:
• Complimentary LUMOS NIX units
• Open SDK access
• Direct technical support
From dynamic motion control to embodied AI applications, the stage is yours.
If a LUMOS NIX showed up at your lab tomorrow, what’s the first thing you’d deploy on it? Let us know below!
Welcome to Project EDGE. Apply now via our website.
#humanoidrobot #robotics
⚡️What if we could design robots with gradients?
🤖 Introducing Shape Your Body: we train one multi-embodiment policy + value function, then optimize new robot designs through value gradients.
🔗 Try out our interactive demo here:
https://t.co/hSpc7qcyqP
Introducing Any2Any: efficient cross-embodiment transfer for humanoid whole-body tracking.
With only 1% compute/data, we transfer Gear-Sonic from Unitree G1 to LimX Oli/Luna with fast convergence and strong tracking.
Check out our initial version on arXiv: 2605.23733
#sonic
Everyone asks if Atlas can bring them a drink, but this robot can bring you the whole fridge. Using AI-driven behaviors, Atlas is doing hard work and coordinating its whole body to manage heavy objects, balancing complex contact points with accuracy and reliability.
We built a bipedal robot for about $2,500.
A real, mostly 3D-printed robot you can build, repair, simulate, train, and control.
Today we’re releasing LeRobot Humanoid: an open robot-learning platform with hardware, runtime, identification tools, and training environments.
Blog post: https://t.co/zu2etb1NZo
Repo: https://t.co/4myLRUtZ3W
@gchampeau Oui, entraîné sur sol plat en simulation ! Mais on le perturbe pendant l'entraînement avec des forces extérieures pour qu'il résiste à de nombreux environnements. Quand ça devient trop extrême comme sur la vidéo, parfois ça passe et c'est impressionnant, parfois non :)
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.