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Zero teleoperation. Zero real-world data. ➔ Autonomous humanoid loco-manipulation in reality. Introducing VIRAL: Visual Sim-to-Real at Scale. We achieved 54 autonomous cycles (walk, stand, place, pick, turn) using a simple recipe: 1. RL 2. Simulation 3. GPUs Website: Arxiv: Deep dive with me: 🧵

270,002 Aufrufe • vor 11 Monaten •via X (Twitter)

24 Kommentare

Profilbild von Tairan He
Tairan Hevor 11 Monaten

Data is the bottleneck of robot learning. The community relies heavily on expensive, slow, human-collected data. We flipped the script. VIRAL trains entirely inside NVIDIA Isaac Lab. We accelerate physics by 10,000x real-time with photorealistic rendering. No human data required. 2/

Profilbild von Tairan He
Tairan Hevor 11 Monaten

The Pipeline: Teacher: We train a privileged teacher with full state access in sim. Student: We distill a vision-based student policy from the teacher. This uses large-scale simulation with tiled rendering, combining online DAgger and Behavior Cloning across tens of GPUs. 3/

Profilbild von Tairan He
Tairan Hevor 11 Monaten

Scale is not optional. We scaled visual sim-to-real compute up to 64 GPUs. We discovered that for long-horizon tasks (like loco-manipulation), large-scale simulation isn't just "nice to have"—it is necessary for convergence and robustness. 4/

Profilbild von Tairan He
Tairan Hevor 11 Monaten

Bridging the Gap. To enable smooth transfer, we performed System Identification (SysID) on our 3-fingered dexterous hands. The difference is night and day. Below is the overlay of simulation vs. real-world physics before and after SysID. 5/

Profilbild von Tairan He
Tairan Hevor 11 Monaten

The Free Lunch. Sim-to-real is hard. But once you solve it, you get generalization for free. VIRAL handles diverse spatial arrangements and visual variations without any real-world fine-tuning. See the stress tests: 6/

Profilbild von Tairan He
Tairan Hevor 11 Monaten

The Journey. This wasn't an overnight success. It took 6 months of building visual sim, distributed training, and infra from scratch. Robotics is hard. We’ve documented our failures and our path to success here: 7/

Profilbild von Tairan He
Tairan Hevor 11 Monaten

VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation Team: @TairanHe99, Zi Wang, @HaoruXue, @BenQingwei, @zhengyiluo, @_wenlixiao, @_ye_yuan, @XingyeDa, Fernando Castañeda, Shankar Sastry, @ChangliuL, @GuanyaShi, GEAR Leads: @DrJimFan, @yukez Website: Paper:

Profilbild von PrismaX
PrismaXvor 11 Monaten

Training at scale.

Profilbild von Nick
Nickvor 11 Monaten

So, all you need is scale?

Profilbild von Mr 365
Mr 365vor 10 Monaten

Do you know when you'll be able to publish the code? It looks really good and big up all of you! <3

Profilbild von Jed Hoo
Jed Hoovor 11 Monaten

very very cool!

Profilbild von Fairooz Choudhury
Fairooz Choudhuryvor 11 Monaten

Impressive achievement! Excited to learn more.

Profilbild von slicedbread
slicedbreadvor 11 Monaten

Kill all robots

Profilbild von David Lin
David Linvor 11 Monaten

This is insanely impressive. One of the best sim2real zero shot transfer I've seen. Great work team.

Profilbild von 奇怪的知识增加了
奇怪的知识增加了vor 11 Monaten

Sim2real ftw 🙌

Profilbild von ζ Pedram ζ
ζ Pedram ζvor 11 Monaten

lol good subject, arbitrarily silly name ..

Profilbild von Forrest Smith
Forrest Smithvor 11 Monaten

What kind of performance did you get from the tiled renderer? At what resolution?

Profilbild von Altiam Kabir
Altiam Kabirvor 11 Monaten

Impressive strides in sim-to-real tech! Excited to see where this leads.

Profilbild von cosmos
cosmosvor 11 Monaten

🫡

Profilbild von Tian Fang
Tian Fangvor 10 Monaten

Very nice work! Did you give any talk in conferences or universities? A good talk will help a lot.

Profilbild von Amy - AI Girl
Amy - AI Girlvor 11 Monaten

Impressive results with VIRAL! The future of robotics is here.

Profilbild von SoloTech
SoloTechvor 11 Monaten

VIRAL is going to push a lot of teams to rethink their pipelines

Profilbild von Sarthak Bhagat
Sarthak Bhagatvor 11 Monaten

Sim2real ftw 🙌

Profilbild von AI PlanetX
AI PlanetXvor 11 Monaten

Impressive work! Excited to learn more about your approach.

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