We are finally releasing a new benchmark!! #RSS2023 . Main highlights are:.* For real-world.* Reproducible (3D printing).* 9 furniture assembly long-horizon tasks.* 200+ hrs of demonstrations. This apparently is my 3rd furniture-related benchmark.🥹.

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. @corl_conf #corl2025.

Do you work on robotics? Do you like robots? Then, visit Korea next year!. We (@ryoo_michael @gupta_abhinav_ @SongShuran Haewon and more) are organizing CoRL 2025 in Seoul, Korea!!. #CoRL @corl_conf #robotics.

RT @_jessethomason_: I've been historically bearish on skill-based RL and @Jesse_Y_Zhang consistently shows me I'm probably wrong. Come che….

RT @_jessethomason_: This work was guided by Jesse's co-advisor's @ebiyik_ and @JosephLim_AI, but I think we all agree that Jesse is effect….

And this will be my last tweet for the time being!.

Well. we won the best system paper award #RSS2023 @RoboticsSciSys !!. @MinhoHeo’s talk can be found at: We (@MinhoHeo @doohyun22 @YoungwoonLee & I) gave quite a bit of effort into this talk. So, we hope you enjoy the talk and, of course, the project :)

My student @MinhoHeo 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 :).

@MinhoHeo @YoungwoonLee @doohyun22 On Friday, at a workshop, about BOSS — bootstrapping a skill library for unseen environments with LLM. Short Talk (Friday 4:30pm) & Poster(2:45pm).Room: 306A. By @Jesse_Y_Zhang @JiahuiZhang_32 @KarlPertsch Ziyi Liu @xiangrenNLP @minsuk_chang @shaohua0116 .

Then, on Wednesday, we have FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation. Talk (Wednesday 11am) & Poster (Wednesday 3pm). By @MinhoHeo @YoungwoonLee @doohyun22 .

Then, on Tuesday, we have PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. Talk (Tuesday 11am) & Poster (Tuesday 3pm). By Shivin Dass, @KarlPertsch Hejia Zhang, @YoungwoonLee @snikolaidis19 .

We have a bunch of presentations this year. Starting with my own talk (Skill-based Robot Learning) at the Interdisciplinary Exploration of Generalizable Manipulation Policy Learning: Paradigms and Debates workshop. Today at 1:30pm.Room: 322A.

At #RSS2023 this week w/ some of my (ex-)students from CLVR (@YoungwoonLee @MinhoHeo @doohyun22 @sungj1026 ). Excited to meet about topics on robot learning, RL, physical reasoning, long-horizon manipulation, etc. Recruiting (int’l & domestic) students. Plz come and say hi!.

RT @Jesse_Y_Zhang: Having humans annotate data to pre-train robots is expensive and time-consuming!. Introducing SPRINT: .A pre-training ap….

RT @ShivinDass: Excited to present PATO: Policy Assisted TeleOperation, our recent work on scaling robot data collection!. PATO uses a pol….

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

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

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!.

Specifically, does it have any high-level reasoning capacity (e.g. deduction, induction, etc)? If yes, then why does it get obvious things wrong? If not, then how can it get things right (by memorization?) "Intellectual" but just low-IQ, just like human making mistakes? #ChatGPT.

I understand that it can be dangerous b/c it may pass the language Turing test. But, what can ChatGPT exactly do and not do? Is it a smarter parser understanding context, getting things wrong at a random chance? It is so good and so bad that I can not tell its power & limitation.