Georgia Chalvatzaki ✈️ #CoRL2026

Such an honor that our project is highlighted by @ERC_Research! We are so excited to put these humanoid robots into serious work powered by SIREN's breakthroughs!
Soon, we will announce open positions! We need highly motivated people with interdisciplinary background for SIREN!

🔥 #CoRL2026 is officially SOLD OUT! And I’m on my way to Austin! ✈️

What a journey this has been! Together with my amazing fellow Program Chairs, @Majumdar_Ani and @fox_dieter17849, we’ve spent the past year working to make this year’s CoRL something truly special.

📈 A record-breaking 2,094 submissions, with 687 accepted papers showcasing the incredible progress in robot learning!

🌟 An outstanding scientific program, featuring inspiring keynotes from @wolfram_burgard, @RussTedrake, @drfeifei and a special conversation with Fei-Fei Li and @LisaSu!

💡3 Early Career Keynotes to give the spotlight to the next generation of leaders in robot learning @RobobertoMM @negar_mehr @zhaohang0124!

🚀 New initiatives we’re particularly proud of:
- A Late-Breaking Results track to bring the freshest ideas and emerging directions into the conversation, including Agentic Robotics and Real2Sim2Real.
- A strengthened reviewing structure with Senior Area Chairs to help us manage the growing scale of our community while maintaining scientific rigor.

Behind all of this is an extraordinary team of organizers, reviewers, area chairs, volunteers, and researchers who have worked incredibly hard to make it happen. Thank you all! ❤️

🤝CoRL has grown tremendously, but what makes it special is still the same: a community that brings together bold ideas, rigorous science, and a shared passion for advancing robot learning.

I can’t wait to see everyone in Austin, hear the discussions, discover new ideas, and celebrate our community together!

We’ve put our hearts into this program. I really hope you enjoy it! ❤️

See you at @corl_conf! 🤖

‼️Important clarification! Concurrent submissions and eligibility. Work currently under review at other archival venues is not automatically excluded, provided that any concurrent submission is disclosed.

However, this track is specifically intended for genuinely late-breaking results, particularly those enabled by very recent developments in Agentic Robotics and Real2Sim2Real. Submissions will be assessed based on their novelty, timeliness, and relevance to this objective.

Work that has already entered the regular conference submission cycle without substantial new late-breaking results is generally better suited to CoRL workshops.

Work under review or accepted in the CoRL 2026 main track remains ineligible.

🚨 Attention, Robot Learning community!

For the first time, @corl_conf is introducing a Call for Late-Breaking Results, focusing on Agentic Robotics and Real2Sim2Real!

Research is moving fast, and we want to make room for important new results as they emerge!

📅 Deadline: October 26 #CoRL2026

🔗 corl.org/contributions/…

A robot that identifies its weaknesses, decides what to practice, and gets better through real-world experience. 🤖🔁

Steven and Yuan built FIND to close this loop: the robot selects feasible tasks, focuses on weaker skills, evaluates its own attempts, and improves its policy through real-world reinforcement learning.

And the practice pays off: success across eight tasks rises from 55% to 71.9%.

In a representative six-hour run, FIND completes 456 episodes with just 30 human scene-recovery interventions and no human-provided reward labels.

Very excited to share our new preprint! A step toward robots that take charge of their own learning.