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Check out GR00T N1, our first open foundation model for humanoid robots!

Awesome work from Adam Wei diving deep into sim-and-real co-training. Our concurrent work (co-training.github.io) shares similar findings on a large range of tasks. We are seeing promising progress on leveraging simulation data on a larger scale!

Competitive Pokémon has all the makings of a great RL research problem: - Stochasticity? ✅ - Imperfect information? ✅ - Generalization? ✅ - More fun than half-cheetah? ✅✅✅ And today it gets better…

Excited to be at Atlanta for #ICRA2025 next week and present our work DexMimicGen on Thursday! Please come check our presentation at 5:00 pm @ 411 and stop by our poster at poster board!

Best poster finalist? Tairan He Wenli Xiao 😂😂😂

Ep#11 with Soroush Nasiriany Zhenyu Jiang Abhi Maddukuri Lawrence Yunliang Chen on Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation co-training.github.io Co-hosted by Chris Paxton & Michael Cho - Rbt/Acc

(1/n) Many large-scale robot datasets have been released, but their quality varies. How can we curate them to improve policy performance? We present SCIZOR, a self-supervised framework that filters low-quality data, boosting policy performance in both simulation and real world.

Check out Casper, a robot sidekick that actively predicts user intent and assists human interactively!