Youngwoon Lee
@YoungwoonLee
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Assistant Professor at Yonsei | Postdoc @UCBerkeley with @pabbeel | PhD @USC with @JosephLim_AI | Reinforcement Learning and Robot Learning
Joined July 2017
Pleased to share that our FurnitureBench won the best system paper award at #RSS2023 @RoboticsSciSys . Kudos to @MinhoHeo @doohyun22 and many thanks to @JosephLim_AI.
Looking for a challenging manipulation benchmark?. Introducing FurnitureBench 🪑🛠️, a reproducible real-world furniture assembly benchmark (#RSS2023 @RoboticsSciSys)!. It features.* 8 furniture models.* 200+ hours of expert demonstrations.* FurnitureSim: Isaac Gym simulator. 🧵👇
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RT @KarlPertsch: We’re releasing the RoboArena today!🤖🦾. Fair & scalable evaluation is a major bottleneck for research on generalist polici….
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RT @KimD0ing: How can we effectively leverage human videos for robot learning by bridging the inherent embodiment gap?. We introduce UniSki….
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#RSS2025 Workshop on Whole-Body Control & Bimanual Manipulation: Applications in Humanoids & Beyond 🤖 . Join us with our amazing lineup of speakers from academia & industry! . Share your latest work by May 23 @RoboticsSciSys
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RT @YunshengTian: Join us at @corl_conf in the afternoon for an inspiring lineup of talks and posters on robotic assembly! Check out how ma….
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RT @carlo_sferrazza: On Saturday, we are organizing the workshop on Whole-Body Control and Bimanual Manipulation: Applications in Humanoids….
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RT @carlo_sferrazza: 📢 Announcement: deadline extension! 📢. We have extended the paper submission deadline to October 18. Looking forward t….
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Want to shape the future of humanoid robots? Join our #CoRL2024 workshop on Whole-body Control & Bimanual Manipulation! Featuring amazing talks from world-renowned experts from both academia and industry.
Join us for the @corl_conf Workshop on Whole-Body Control & Bimanual Manipulation: Applications in Humanoids & Beyond! 🤖.Hear from an incredible lineup of speakers from academia & industry as we dive into the latest advancements in this exciting field! #CoRL2024 #Robotics #AI
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RT @carlo_sferrazza: I will be presenting HumanoidBench today at #RSS2024 in the Locomotion and Manipulation session starting at 11am! You….
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Another paper release :) . This paper tackles unsupervised skill discovery (especially, goal-conditioned RL) and achieves diverse skills without supervision in complex AntMazes. Kudos to my amazing undergrads @junikbae and @kwanyoung_park_ (they are applying for PhD this year!).
Can we learn agents that can autonomously explore complex environments and achieve commanded goals?.Here, we introduce TLDR that trains such agents in complex environments, including Ultra-large AntMaze! . Project Page: Paper:
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My first project at Yonsei is finally out :) . We introduce a simple yet effective conservative Q-learning formulation, and enable offline model-based RL to solve long-horizon tasks!. Kudos to my undergraduate student @kwanyoung_park_ , applying for PhD this year!.
Offline model-based RL suffers in long-horizon tasks like AntMaze. We introduce LEQ (Lower-Expectile Q-learning), which significantly outperforms previous offline model-based methods on AntMaze!. Paper: Project page: (1/6)
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RT @vint_lee_: I'll be presenting DreamSmooth at #ICLR2024! 😊. Reward prediction is vital to model-based RL. Yet, many algorithms struggle….
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RT @SashaKhazatsky: After two years, it is my pleasure to introduce “DROID: A Large-Scale In-the-Wild Robot Manipulation Dataset”. DROID is….
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RT @KarlPertsch: Access to *diverse* training data is a major bottleneck in robot learning. We're releasing DROID, a large-scale in-the-wil….
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We're diving into the world of humanoid robotics 🤖! We were curious how to train humanoid robots and ended up making HumanoidBench, a simulated benchmark for humanoid robots! . Give it a try and let us know what you think!.
Humanoids 🤖 will do anything humans can do. But are state-of-the-art algorithms up to the challenge?. Introducing HumanoidBench, the first-of-its-kind simulated humanoid benchmark with 27 distinct whole-body tasks requiring intricate long-horizon planning and coordination. 🧵👇
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RT @carlo_sferrazza: Humanoids 🤖 will do anything humans can do. But are state-of-the-art algorithms up to the challenge?. Introducing Huma….
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RT @coreylynch: We are now having full conversations with Figure 01, thanks to our partnership with OpenAI. Our robot can:.- describe its….
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RT @KarlPertsch: Very excited to release the Open X-Embodiment Dataset today — the largest robot dataset to date with 1M+ trajectories! Rob….
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RT @QuanVng: RT-X: generalist AI models lead to 50% improvement over RT-1 and 3x improvement over RT-2, our previous best models. 🔥🥳🧵. Proj….
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