satvik

cs undergrad | robot learning | sde intern @IBM, prev intern @ISRO

[satvik @xSatvik]

@aryanmadhaverma ahh i see, this was molmoact2 ?

[satvik @xSatvik]

@RemiCadene @psermanet @UMA_Robots Wowoww, super cool

[LeRobot @LeRobotHF]

LeRobot v0.6.0 is officially here: Imagine, Evaluate, Improve! 🤖🚀

We are closing the robot learning loop with massive upgrades for the open-source robotics community. From policies that imagine the future to a much leaner installation, here is what is new:
- 🌍 World Models: VLA-JEPA, LingBot-VA, and FastWAM help your policies anticipate the future.
- 👀 VLA Expansion: Welcome GR00T 1.7, MolmoAct2, EO-1, Multitask DiT, and EVO1.
- 🏅 Reward Models API: Track success seamlessly with Robometer and TOPReward.
- 🎯 Unified Evaluation: 6 new simulation benchmarks, all accessible via the lerobot-eval CLI.
- ☁️ And more: lerobot-rollout CLI for DAgger corrections, HF Jobs cloud training, up to 2x faster data loading, GUI - LeLab, many docs improvements

Ready to build the future of robotics? Dive into the full release notes here: https://t.co/4SIXXq2QBm

@ClementDelangue @Thom_Wolf

[satvik @xSatvik]

@H0meMadeGarbage シェアしていただきありがとうございます！

[satvik @xSatvik]

@sujalDweD cool!!
now into manipulation? nice

[satvik @xSatvik]

@shreyasgite 😂😂

[satvik @xSatvik]

@QianzhongChen Super cool

[satvik @xSatvik]

@IliaLarchenko @ieee_ras_icra really cool work!!

[satvik @xSatvik]

@pr0t0_01 LFG

[satvik @xSatvik]

@eyecandyrobots @sujalDweD

[satvik @xSatvik]

was super fun to see the crazy ambition here

[satvik @xSatvik]

@k7agar 😂😂

[satvik @xSatvik]

@k7agar so truee

[satvik @xSatvik]

I want to live right there in the middle of it

[satvik @xSatvik]

the idea of having thousands and thousands of real robot envs is so cool

[satvik @xSatvik]

@sincethestudy LFGG

[satvik @xSatvik]

@_wenlixiao eval is all we need

[Jim Fan @DrJimFan]

Today, we enable AutoResearch in the physical world for the first time! Introducing ENPIRE: we give 8 Codex agents a fleet of robots, an allocation of GPUs, and generous token budget. We set them free with a simple goal: solve the task as quickly as possible, keep the robots busy but stay safe, don't waste precious compute. Make no mistake.

Then humans step aside and our watch begins. The robot fleet starts to come alive: they learn to look for visual clues, reset the scene, practice novel skills, tinker with control stack, read papers online, debate, reflect, get stuck, and try again directly on the hardware. All we did is to give Codex an API to the world of atoms, and the rest is emergence.

ENPIRE is able to solve high-precision tasks like tying zip-ties, organizing fine pins, and installing GPUs all by itself. We also discovered a new type of "physical scaling": 8 robots exploring in parallel improves significantly faster than fewer ones.

A part of our NVIDIA GEAR lab now self-improves tirelessly over night. We just read the reports in the morning.

/goal: we all take a holiday and Jensen wouldn't even notice ;)

We will be open-sourcing everything, so you can host your self-running robot lab at home too! Deep dive in the thread: