Yixuan Wang @YXWangBot
CS Ph.D. student @Columbia & Intern @AIatMeta | Prev. Boston Dynamics AI Institute, Google X #Vision #Robotics #Learning wangyixuan12.github.io New York, USA Joined October 2019-
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Happy to share that I'm a Dr. now! 🎓🎉 I'm indebted to @LerrelPinto for his 🔥 advice & mentorship, and an unforgettable five years. Next up, I'm starting a postdoc with @JitendraMalikCV, spending time at @berkeley_ai & @AIatMeta. Would love to say hi if you're in the bay area!
Unlike LLMs/VLMs with a comprehensive suite of benchmarks, embodied AI & robotics have long lacked effective ways to evaluate agent performance. Without proper benchmarks, much of today’s massive data collection risks being wasted. The 1st BEHAVIOR Challenge is a concrete step…
Unlike LLMs/VLMs with a comprehensive suite of benchmarks, embodied AI & robotics have long lacked effective ways to evaluate agent performance. Without proper benchmarks, much of today’s massive data collection risks being wasted. The 1st BEHAVIOR Challenge is a concrete step…
(1/N) How close are we to enabling robots to solve the long-horizon, complex tasks that matter in everyday life? 🚨 We are thrilled to invite you to join the 1st BEHAVIOR Challenge @NeurIPS 2025, submission deadline: 11/15. 🏆 Prizes: 🥇 $1,000 🥈 $500 🥉 $300
ToddlerBot 2.0 is released🥳! Now Toddy can also do cartwheels🤸! We have added so many features since our first release in February; see github.com/hshi74/toddler… for more details. Threads🧵(1/n)
🚀 Excited to share our #CoRL2025 paper! See you in Korea 🇰🇷!🎉 We present ParticleFormer, a Transformer-based 3D world model that learns from point cloud perception and captures complex dynamics across multiple objects and material types ! 🌐 Project website:…
I was really impressed by the UMI gripper (@chichengcc et al.), but a key limitation is that **force-related data wasn’t captured**: humans feel haptic feedback through the mechanical springs, but the robot couldn’t leverage that info, limiting the data’s value for fine-grained…
I was really impressed by the UMI gripper (@chichengcc et al.), but a key limitation is that **force-related data wasn’t captured**: humans feel haptic feedback through the mechanical springs, but the robot couldn’t leverage that info, limiting the data’s value for fine-grained… https://t.co/0BvUVp66kq
It is soooooo awesome to see UMI + Tactile comes to life! I am very impressed how quickly the whole hardware + software system is built. Meanwhile, they even collected lots of the data in the wild! Very amazing work!!!
It is soooooo awesome to see UMI + Tactile comes to life! I am very impressed how quickly the whole hardware + software system is built. Meanwhile, they even collected lots of the data in the wild! Very amazing work!!!
TRI's latest Large Behavior Model (LBM) paper landed on arxiv last night! Check out our project website: toyotaresearchinstitute.github.io/lbm1/ One of our main goals for this paper was to put out a very careful and thorough study on the topic to help people understand the state of the…
🚀 Introducing RIGVid: Robots Imitating Generated Videos! Robots can now perform complex tasks—pouring, wiping, mixing—just by imitating generated videos, purely zero-shot! No teleop. No OpenX/DROID/Ego4D. No videos of human demonstrations. Only AI generated video demos 🧵👇
Had a great time yesterday giving three invited talks at #RSS2025 workshops—on foundation models, structured world models, and tactile sensing for robotic manipulation. Lots of engaging conversations! One more talk coming up on Wednesday (6/25). Also excited to be presenting two…
Just arrived at LA and excited to be at RSS! I will present CodeDiffuser at following sessions: - Presentation on June 22 (Sun.) 5:30 PM - 6:30 PM - Poster on June 22 (Sun.) 6:30 PM - 8:00 PM I will also present CuriousBot at - FM4RoboPlan Workshop on June 21 (Sat.) 9:40 - 10:10…
Just arrived at LA and excited to be at RSS! I will present CodeDiffuser at following sessions: - Presentation on June 22 (Sun.) 5:30 PM - 6:30 PM - Poster on June 22 (Sun.) 6:30 PM - 8:00 PM I will also present CuriousBot at - FM4RoboPlan Workshop on June 21 (Sat.) 9:40 - 10:10…
We’ve been exploring 3D world models with the goal of finding the right recipe that is both: (1) structured—for sample efficiency and generalization (my personal emphasis), and (2) scalable—as we increase real-world data collection. With **Particle-Grid Neural Dynamics**…
We’ve been exploring 3D world models with the goal of finding the right recipe that is both: (1) structured—for sample efficiency and generalization (my personal emphasis), and (2) scalable—as we increase real-world data collection. With **Particle-Grid Neural Dynamics**… https://t.co/A2r6a3KHAe
How can we achieve both common sense understanding that can deal with varying levels of ambiguity in language and dextrous manipulation? Check out CodeDiffuser, a really neat work that bridges Code Gen with a 3D Diffusion Policy! This was a fun project with cool experiments! 🤖
How can we achieve both common sense understanding that can deal with varying levels of ambiguity in language and dextrous manipulation? Check out CodeDiffuser, a really neat work that bridges Code Gen with a 3D Diffusion Policy! This was a fun project with cool experiments! 🤖
Check out the cool results and demo!
Check out the cool results and demo!
Two releases in a row from our lab today 😆 One problem I was always pondering on is how to use structured representation while making it scalable. Super excited that Kaifeng's work pushes this direction forward and I cannot wait to see what's more in the future!!
Two releases in a row from our lab today 😆 One problem I was always pondering on is how to use structured representation while making it scalable. Super excited that Kaifeng's work pushes this direction forward and I cannot wait to see what's more in the future!!
**Steerability** remains one of the key issues for current vision-language-action models (VLAs). Natural language is often ambiguous and vague: "Hang a mug on a branch" vs "Hang the left mug on the right branch." Many works claim to handle language input, yet the tasks are often…
**Steerability** remains one of the key issues for current vision-language-action models (VLAs). Natural language is often ambiguous and vague: "Hang a mug on a branch" vs "Hang the left mug on the right branch." Many works claim to handle language input, yet the tasks are often… https://t.co/ukkTOg1Hah
It is cool to see that you can steer your low-level policy with foundation models. Check out new work from @YXWangBot
It is cool to see that you can steer your low-level policy with foundation models. Check out new work from @YXWangBot
Ep#10 with @RogerQiu_42 on Humanoid Policy ~ Human Policy human-as-robot.github.io Co-hosted by @chris_j_paxton & @micoolcho
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