Kai

[Zhi Su @ZhiSu22]

😍😍😍

[Kai @kai_zhangjojo]

@spaceandtech_ where is the arxiv

[Xiaolong Wang @xiaolonw]

Excited to share that Assured Robot Intelligence (ARI) has joined @Meta to help build the future of humanoid intelligence!

When we started ARI one year ago, our mission was clear: achieve physical AGI. Through deep customer engagements and real-world deployments, it became clear to us that serving the massive opportunity ahead requires training a truly general-purpose physical agent.

We believe this agent will be humanoid — and that scaling will come from learning directly from human experience, not teleoperation alone. Meta’s ecosystem brings together the key components needed to make this vision possible. We will be joining Meta Superintelligence Labs (MSL) to help bring personal superintelligence into the physical world.

We are incredibly grateful to the brilliant minds, robotics researchers, engineers, partners, and supporters who have worked with us on this journey. Thank you to our investors and angels, led by @aixventureshq , for believing in our mission.

This is just the beginning.

[Tairan He @TairanHe99]

GR00T-VisualSim2Real is now open source!

VIRAL and DoorMan are now available with training code, simulation assets, and the full recipe for bringing visual sim-to-real loco-manipulation skills to your own humanoids.

Repo: https://t.co/vgRsCeRG8w

[JunLi Ren @junli_r84995]

sharing our new project Smash!🏓
We built the first outdoor humanoid table tennis player with fully onboard perception — no MoCap, no external cameras. check the video for details.
paper and code on the way!

[Kai @kai_zhangjojo]

She deserves it.

[Pluribus @PluribusTV]

Tonight!

[OpenDriveLab @OpenDriveLab]

OpenDriveLab@HKU 🇭🇰
Open Roles:
1️⃣ (26'Summer) Research Interns
2️⃣ (27') PhD Candidates
3️⃣ Postdocs
Focus: Humanoid, Navigation, DexHand, Manipulation, Autonomous Driving
🔗Apply:
Google Form: https://t.co/slG7eAQRf2
Email: [email protected]

[Kai @kai_zhangjojo]

@elonnews40 can not be 20

[Sunday @sundayrobotics]

Traditional robots are like player pianos—they only play notes they’re given.

Memo is more like a Master Chef who has watched hundreds of cooks in every type of kitchen. Our diverse dataset provides Memo with an “intuition” for grasping entirely new objects. This is a small step towards truly helpful robots that work in any home 🤖👨‍🍳