On my way to #CoRL2022! Poke me if you want to chat :) Also, drop by my talks today if you are interested in Skill-based Robot Learning!

Check out my student(Karl Pertsch)’s internship project about cross-domain imitation! #CoRL2022 (he is graduating soon too)

Check out our #CoRL2022 paper on learning skill dynamics for model-based RL! We present a sample efficient RL algorithms by temporal abstraction (skills). Youngwoon Lee Lucy Shi (an undergrad who will graduate soon!)

Excited to present PATO: Policy Assisted TeleOperation, our recent work on scaling robot data collection! PATO uses a policy trained on prior data to assist the user during data collection, making teleop easier and even allows to teleop multiple robots simultaneously. 🧵👇

Having humans annotate data to pre-train robots is expensive and time-consuming! Introducing SPRINT: A pre-training approach using LLMs and offline RL to equip robots w/ many language-annotated skills while minimizing human annotation effort! URL: clvrai.github.io/sprint/ 🧵👇

My student Minho Heo will be giving a talk in 2hrs (11am KST today). #RSS2023 This work is also one of the best system paper finalists too! Come and check it out :)

I've been historically bearish on skill-based RL and Jesse Zhang consistently shows me I'm probably wrong. Come check out EXTRACT at 1600 at Conference on Robot Learning (poster #11) to see him yank semantically meaningful skills out offline data by leveraging PTLMs. arxiv.org/abs/2406.17768

This work was guided by Jesse's co-advisor's Erdem Bıyık and Joseph Lim, but I think we all agree that Jesse is effectively running his own little lab. If you're thinking about hiring a postdoc in the area of RL for robotics, Jesse comes a ton of insight and mentoring experience!

Do you work on robotics? Do you like robots? Then, visit Korea next year! We (Michael Ryoo Abhinav Gupta Shuran Song Haewon and more) are organizing CoRL 2025 in Seoul, Korea!! #CoRL Conference on Robot Learning #robotics

corl.org/home CoRL 2025 schedule is released now! Please note that the whole schedule is earlier than other times. The submission deadline: 4/28 The conference: 9/27-9/30 Conference on Robot Learning #corl2025