Yu Lei @_OutofMemory_
Looking for 25Fall Ph.D.!; Undergraduate @SJTU1896 | @CMU_Robotics; @UCSD. Learn to learn representations and learn to search within and beyond. 🤖🧠👁️ theknight-z.github.io Pittsburgh, PA Joined July 2023-
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90% success rate in unseen environments. No new data, no fine-tuning. Autonomously. Most robots need retraining to work in new places. What if they didn’t? Robot Utility Models (RUMs) learn once and work anywhere... zero-shot. A team from NYU and Hello Robot built a set of…
🏓🤖 Our humanoid robot can now rally over 100 consecutive shots against a human in real table tennis — fully autonomous, sub-second reaction, human-like strikes.
The new humanoid whole-body teleop & policy learning demo from @BostonDynamics & @ToyotaResearch is so impressive. The telelop system includes BD's MPC system as controllers, VR headset, base stations, and trackers on chest & feet. The policy learning architecture is similar to…
🎉 Very happy to have our paper on predictive red teaming accepted to @corl_conf! Writing a first-author paper again was a good reminder of all the hard work students put in on details that I've forgotten about over the years. Project page: rb.gy/buih3o
This is a neural network named Helix learning how to do laundry
A large part of Robot Learning is systems research, but it doesn't quite fit the existing paradigms: think of CoRL, RSS, SOSP, and MLSys. It draws from all but is inherently full-stack --- hardware, control, compute, ml algos. There are nice works here and there but we likely…
Another one. Already a powerful painting, but moving around it yourself gives a totally different feeling. Jacques Louis David's "The Death of Socrates" => #Genie3
World modeling for robotics is incredibly hard because (1) control of humanoid robots & 5-finger hands is wayyy harder than ⬆️⬅️⬇️➡️ in games (Genie 3); and (2) object interaction is much more diverse than FSD, which needs to *avoid* coming into contact. Our GR00T Dreams work was…
World modeling for robotics is incredibly hard because (1) control of humanoid robots & 5-finger hands is wayyy harder than ⬆️⬅️⬇️➡️ in games (Genie 3); and (2) object interaction is much more diverse than FSD, which needs to *avoid* coming into contact. Our GR00T Dreams work was…
What if you could not only watch a generated video, but explore it too? 🌐 Genie 3 is our groundbreaking world model that creates interactive, playable environments from a single text prompt. From photorealistic landscapes to fantasy realms, the possibilities are endless. 🧵
Excited to open-source GMR: General Motion Retargeting. Real-time human-to-humanoid retargeting on your laptop. Supports diverse motion formats & robots. Unlock whole-body humanoid teleoperation (e.g., TWIST). video with 🔊
Excited to see that particle-based dynamics model learning + MPC gets applied in cloth manipulation with multifingered hands! The idea of predicting object motions by representing them as dense particles shares the same insight as our recent paper, PGND…
Excited to see that particle-based dynamics model learning + MPC gets applied in cloth manipulation with multifingered hands! The idea of predicting object motions by representing them as dense particles shares the same insight as our recent paper, PGND…
Love this.
July has been a big month for Viser! - Released v1.0.0😊 - We did some writing Some demos👇
We’ve been building quietly — starting tomorrow, we go live. Here’s a teaser of what we did before Skild AI. It has shaped what’s coming next. 07/29. Stay tuned.
My Takeaways from GR3: Insights on Vision-Language-Action (VLA) Models Although I wasn’t directly involved in the GR3 project, I gained valuable insights into Vision-Language-Action (VLA) models through discussions and observing their performance, particularly their failure…
My Takeaways from GR3: Insights on Vision-Language-Action (VLA) Models Although I wasn’t directly involved in the GR3 project, I gained valuable insights into Vision-Language-Action (VLA) models through discussions and observing their performance, particularly their failure…
🚀 New Open-Source Release! PyTorchTNN 🚀 A PyTorch package for building biologically-plausible temporal neural networks (TNNs)—unrolling neural network computation layer-by-layer through time, inspired by cortical processing. PyTorchTNN naturally integrates into the…
Large robot datasets are crucial for training 🤖foundation models. Yet, we lack systematic understanding of what data matters. Introducing MimicLabs ✅System to generate large synthetic robot 🦾 datasets ✅Data-composition study 🗄️ on how to collect and use large datasets 🧵1/
When facing a new physical manipulation problem, robots should think creatively and solve them in only a few attempts. We make first steps towards this MacGyver robot in our work Causal-PIK. It enables smart exploration of the massive action space - sometimes faster than humans.
When facing a new physical manipulation problem, robots should think creatively and solve them in only a few attempts. We make first steps towards this MacGyver robot in our work Causal-PIK. It enables smart exploration of the massive action space - sometimes faster than humans.
🚀Thrilled to share what we’ve been building at TRI over the past several months: our first Large Behavior Models (LBMs) are here! I’m proud to have been a core contributor to the multi-task policy learning and post-training efforts. At TRI, we’ve been researching how LBMs can…
🚀Thrilled to share what we’ve been building at TRI over the past several months: our first Large Behavior Models (LBMs) are here! I’m proud to have been a core contributor to the multi-task policy learning and post-training efforts. At TRI, we’ve been researching how LBMs can… https://t.co/IjzvkhmBwP
Many roboticists focus on designing human-like hands, but we took a closer look at the fingers. Human fingers are soft, responsive, and packed with sensitive sensory points—perfect for handling even fragile objects. What if robots had such fingers? Check out our work on FORTE!
Many roboticists focus on designing human-like hands, but we took a closer look at the fingers. Human fingers are soft, responsive, and packed with sensitive sensory points—perfect for handling even fragile objects. What if robots had such fingers? Check out our work on FORTE!
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Shaofeng Yin @Shaofeng_Yin
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Thomas(Ran) Tian @tianran_
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Homanga Bharadhwaj @mangahomanga
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Patrick Drake @time8machine
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Hokin Deng @DengHokin
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William Shen @WillShenSaysHi
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Yifan Zhu @YifanZhu_
172 Followers 228 Following Incoming assistant professor in the CS department at UIC. Postdoc at Yale. Ph.D at UIUC. Roboticist.
Annabella Macaluso @anna_macalus
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Aaron Tan @aaronistan
5K Followers 710 Following Building ambient robots @SyncereAI | Prev. @Stanford @UofT PhD
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Minghuan Liu @ericliuof97
618 Followers 314 Following Postdoc at UTAustin RPL Lab. Prev: Seed Robotics; Ph.D @sjtu1896; Visit @UCSD at @xiaolonw's lab. Robot Learning, Reinforcement Learning, Imitation Learning.
Bowen Li @Bw_Li1024
1K Followers 791 Following PhD student @CMU_Robotics work on Reasoning, Planning, and Robotics
Hanseok Oh @hanseok_oh
403 Followers 411 Following AI Researcher. Visiting researcher in @Mila_Quebec. Previously: MS at @kaist_ai. Interested in conversational agents & intersection between XR + AI nowadays.
Hongsuk Benjamin Choi @redstone_hong
499 Followers 387 Following robotics & computer vision. PhD @Berkeley_AI | prev @ Seoul National University
VITA Group @VITAGroupUT
1K Followers 3K Following VITA Group @UTAustin w/ Prof Atlas Wang | https://t.co/Wi3tJXf1mg Run by VITA students (PI is busy changing diapers😄). Tweets only reflect personal views
Zhikai Zhang @Zhikai273
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Junhong Shen @JunhongShen1
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Yan Zhang @cnsdqzyz
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will yeh ᯅ/acc @willyayy
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naveen manwani @NaveenManwani17
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Yuheng Qiu @QiuYuhengQiu
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Ada Fang @AdaFang_
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Joy Hsu @joycjhsu
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jasmine sun @jasminewsun
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Zi-ang Cao @ziang_cao
188 Followers 252 Following MS student @Stanford | Working on vision and learning of Robotics
Tianyi Lorena Yan @LorenaYannnnn
559 Followers 666 Following PhD student @columbia CS working w/ @johnhewtt Controllable, interpretable, efficient language models Undergrad @CSatUSC | Prev @air_tsinghua
Qian Huang @qhwang3
14K Followers 331 Following prev @xai | CS PhD student @StanfordAILab (on leave)
Computational Neurosc... @Comp_NeuroLab
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Brokoslaw Laschowski @DrLaschowski
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Shirley Ho @cosmo_shirley
4K Followers 375 Following Group Leader @FlatironCCA @SimonsFdn 🌟 Professor at @NYUPhysics @NYUDataScience @Princeton ML/AI-accelerated Science, @PolymathicAI HongKonger
CBMM @MIT_CBMM
3K Followers 22 Following The Center for Brains, Minds and Machines is a multi-institutional NSF Center dedicated to the study of the science and engineering of intelligence.
Zhi Su @ZhiSu22
2K Followers 137 Following Undergrad @Tsinghua_IIIS | 🤖 Robot Learning | Looking for PhD position
Alicja Ziarko @ZiarkoAlicja
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Cornell Tech @cornell_tech
20K Followers 3K Following @Cornell's NYC grad school. Developing leaders, building ventures, and creating technologies for the Al era. All at #CornellTech
Jongho Park @jon_ghoh
322 Followers 631 Following 🧑💻 PhD student @berkeley_ai. M.S. @WisconsinCS 👾 ex-researcher @Krafton_AI (@PUBG)
Alex Havrilla @Dahoas1
2K Followers 547 Following Research Scientist @GoogleDeepMind. Interested in interestingness
Sharon Y. Li @SharonYixuanLi
11K Followers 803 Following Prof @WisconsinCS. Making AI reliable for the open world.
UT Austin Research @UTexasResearch
2K Followers 433 Following The Office of the Vice President for Research, Scholarship & Creative Endeavors helps @UTAustin researchers turn bold ideas into discoveries. #TEXASResearch
Eric Rosen @_ericrosen
1K Followers 608 Following Robotics Research Scientist @ Robotics and AI Institute (RAI) | Making robots smarter for everyone | CS PhD from @BrownUniversity 🤖
Kaizhe Hu @hkz222
297 Followers 177 Following Visiting Scholar @ TML, Stanford University; PhD @ TEALab, IIIS, Tsinghua Univ.; Robotics & Reinforcement Learning
Mariya I. Vasileva @mariyaivasileva
19K Followers 2K Following Research @Meta Superintelligence Labs •🦙 multimodal safety • ex @AWS • 🎓 @IllinoisCDS (PhD), @Caltech • @WiMLWorkshop, @CVFADworkshop, @ResistanceAI • 🇧🇬
Institute for Foundat... @MLFoundations
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Shawn Shen @shawnshenjx
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Amy Pavel @amypavel
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TalkRL Podcast @TalkRLPodcast
3K Followers 95 Following TalkRL Podcast is All Reinforcement Learning, All the Time. Follow for interviews with brilliant folks from across the world of RL. Host @robinc. DMs open.
Pranav Atreya @pranav_atreya
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Pingbang Hu 🇹🇼 @PingbangHu
348 Followers 266 Following Ph.D. candidate @UofIllinois. Alumni @Umich & @SJTU1896. Interned @amazon & @jouhouken. Data-centric trustworthy machine learning and AI.
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7K Followers 868 Following Princeton neuro prof. But Twitter is an absurd platform for professional communication so I strive to use it most unprofessionally.
Ekdeep Singh @EkdeepL
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Lijie(Derrick) Yang @LijieyYang
126 Followers 249 Following CS PhD @Princeton, SCS Alum @CarnegieMellon, doing research in ML and Systems
Weishuai Zeng @weishuaizeng
191 Followers 138 Following Undergraduate Student at PKU@PKU1898; Intern at ShanghaiAILab@InternRobotics; Humanoid Control/Perception/Interaction/Foundation Model; Looking for PhD 2026Fall
Charlie Cheng @charlietcheng
280 Followers 891 Following EECS undergrad @ UC Berkeley | Researcher @ BAIR with @pabbeel and @JitendraMalikCV | Humanoid & RL | https://t.co/a4Axs3xaUi | opinions my own
Embodied AI Reading N... @EmbodiedAIRead
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589 Followers 2K Following Founder. Previously platform engineer @Webflow. Active inference enjoyer.
Hadi Vafaii @hadivafaii
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4K Followers 2K Following Associate Prof. | Computer Science & BioFrontiers @CUBoulder | Ext. Faculty @sfiscience
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