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If you’re looking to study domain adaptation on videos, definitely try out our paper / code with reproducibility certification! github.com/SimarKareer/Un…

🤖 Inspiring the Next Generation of Roboticists! 🎓 Our lab had an incredible opportunity to demo our robot learning systems to local K-12 students for the National Robotics Week program Robotics@GT . A big shout-out to Vaibhav Saxena @ ICLR 2025 Simar Kareer Pranay Mathur for hosting

We have a new ICML paper! Adaptive Horizon Actor Critic (AHAC). Joint work with Krishnan Srinivasan Jie Xu Eric Heiden Animesh Garg AHAC is a first-order model-based RL algorithm that learns high-dimensional tasks in minutes and outperforms PPO by 40%. 🧵(1/4)

Introducing Gaze-LLE, a new model for gaze target estimation built on top of a frozen visual foundation model! Gaze-LLE achieves SOTA results on multiple benchmarks while learning minimal parameters, and shows strong generalization paper: arxiv.org/abs/2412.09586

Thanks Project Aria @Meta AI at Meta for featuring our work!

Introducing Hi Robot – Hierarchical Interactive Robot Our first step at Physical Intelligence towards teaching robots to listen and think harder. A 🧵 on how we make robots more steerable 👇

We are excited to share new experiments with AgiBot AgiBot on multi-task, multi-embodiment VLAs! With one model that can perform many tasks with both two-finger grippers and multi-fingered hands, we take another step toward one model for all robots and tasks.

Mobile manipulation is hard, and generalizing to new environments is even harder. We take a stab at both in our latest release, where our robots clean Airbnbs they've never been to!

Imagine robots learning new skills—without any robot data. Today, we're excited to release EgoZero: our first steps in training robot policies that operate in unseen environments, solely from data collected through humans wearing Aria smart glasses. 🧵👇