Yiğit Korkmaz

Are current eval/deployment practices enough for today’s robot policies? Announcing the Eval&Deploy workshop at CoRL 2025 @corl_conf, where we'll explore eval + deployment in the robot learning lifecycle and how to improve it! eval-deploy.github.io 🗓️ Submissions due Aug 30

Just a small reminder that our workshop is happening tomorrow, and we have an amazing line of speakers! Make sure to check out the workshop website for the schedule. 🤖

[Blog Post Announcement] The internet is full of “interesting” data: cat videos, think pieces, and highlight reels—but robots often need to learn from mundane data to help us with everyday unexciting tasks. While people aren’t incentivized to share this boring data, we constantly…

VLAs have the potential to generalize over scenes and tasks, but require a ton of data to learn robust policies. We introduce OG-VLA, a novel architecture and learning framework that combines the generalization strengths of VLAs with the robustness of 3D-aware policies. 🧵

How can non-experts quickly teach robots a variety of tasks? Introducing HAND ✋, a simple, time-efficient method of training robots! Using just a **single hand demo**, HAND learns manipulation tasks in under **4 minutes**! 🧵

Reward models that help real robots learn new tasks—no new demos needed! ReWiND uses language-guided rewards to train bimanual arms on OOD tasks in 1 hour! Offline-to-online, lang-conditioned, visual RL on action-chunked transformers. 🧵

I recently wrote a post about MILE for @RASC_USC blog — check it out here: rasc.usc.edu/blog/mile-mode… Feel free to reach out if you have any questions or thoughts! See you at ICRA 🤖🙂

Hamza has been working to make progress in AI and reasoning feel more measurable and grounded. He’s also genuinely enjoyable to work with. Check out his work and give him a follow (faculty friends, he’ll be applying to PhD programs next year 👀)