Berkeley AI Research @berkeley_ai
We're graduate students, postdocs, faculty and scientists at the cutting edge of artificial intelligence research. bair.berkeley.edu Berkeley, CA Joined July 2017-
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How can agents learn to coordinate without communicating when faced with multiple choices? In our new work, MIMIC-D, we use decentralized diffusion models to achieve multi-modal, multi-agent coordination! Paper: lnkd.in/eAXwdtNc Website: lnkd.in/eRWcK3wR
1/ Can molecular AI move past hard-coded Graph Neural Networks and embrace scalable Transformers that discover molecular structure on their own? We demonstrate that you can train a 1B parameter Transformer model without any graph priors or physical inductive biases. And…
Congratulations to BAIR Researchers from @trevordarrell @pabbeel @JitendraMalikCV @akanazawa labs who won the Best Student Paper award at the just concluded #CoRL2025 in Seoul, Korea for their paper "Visual Imitation Enables Contextual Humanoid Control." @arthurallshire…
Congratulations to BAIR Researchers from @trevordarrell @pabbeel @JitendraMalikCV @akanazawa labs who won the Best Student Paper award at the just concluded #CoRL2025 in Seoul, Korea for their paper "Visual Imitation Enables Contextual Humanoid Control." @arthurallshire…
I'm super excited to announce mjlab today! mjlab = Isaac Lab's APIs + best-in-class MuJoCo physics + massively parallel GPU acceleration Built directly on MuJoCo Warp with the abstractions you love.
Great talk by @uynitsuj presenting the Real2Render2Real paper at CoRL in Seoul! A great collaboration between @UCBerkeley and @ToyotaResearch. The code for this paper is now available, check it out here: github.com/uynitsuj/real2… @ToyotaResearch @AUTOLab_Cal @Ken_Goldberg
Great talk by @uynitsuj presenting the Real2Render2Real paper at CoRL in Seoul! A great collaboration between @UCBerkeley and @ToyotaResearch. The code for this paper is now available, check it out here: github.com/uynitsuj/real2… @ToyotaResearch @AUTOLab_Cal @Ken_Goldberg https://t.co/TgNLCgp55X
RoboArena enables scalable, real-robot benchmarking for generalist policies, based on crowd-sourced pairwise policy preferences. I'll be presenting RoboArena Monday morning, and at poster #77 in the afternoon; come visit! Project page: robo-arena.github.io
RoboArena enables scalable, real-robot benchmarking for generalist policies, based on crowd-sourced pairwise policy preferences. I'll be presenting RoboArena Monday morning, and at poster #77 in the afternoon; come visit! Project page: robo-arena.github.io https://t.co/0BUjLhjSAY
Meet mjlab. Powered by MuJoCo Warp. Drops Monday.
Looking fwd to this!!
excited that VideoMimic was just nominated for an award at CoRL, see you soon in Seoul! 🇰🇷 we have also now also released our sim/real-robot deployment pipeline, including checkpoints and nice viser web viz -- check it out github.com/hongsukchoi/Vi…
Our latest work performs sim2real dexterous grasping using end-to-end depth RL.
We trained OmniVLA, a robotic foundation model for navigation conditioned on language, goal poses, and images. Initialized with OpenVLA, it leverages Internet-scale knowledge for strong OOD performance. Great collaboration with @CatGlossop, @shahdhruv_, and @svlevine.
🚀 Introducing Sparse VideoGen2 (SVG2) — Pareto-frontier video generation acceleration with semantic-aware sparse attention! 🏆Spotlight paper accepted by #NeurIPS2025 ✅ Training-free & plug-and-play ✅ Up to 2.5× faster on HunyuanVideo, 1.9× faster on Wan 2.1 ✅ SOTA quality…
Our Gauss report is now on the arxiv: arxiv.org/abs/2509.18122 Does the current LLM models solve math problems with memorisation or understanding? Can it truly grasp abstract concepts or simply exploit correlations through compression? That is THE next trillion-dollar question.
Excited to share that I'll be joining @UTAustin in Fall 2026 as an Assistant Professor with @utmechengr @texas_robotics! I'm looking for PhD students interested in humanoids, dexterous manipulation, tactile sensing, and robot learning in general -- consider applying this cycle!
We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics. biorxiv.org/content/10.110… (1/n)
Should robots have eyeballs? Human eyes move constantly and use variable resolution to actively gather visual details. In EyeRobot (eyerobot.net) we train a robot eyeball entirely with RL: eye movements emerge from experience driven by task-driven rewards.
Good news! CPH's @_ahmedmalaa and colleagues @RoxanaDaneshjou and @tom_hartvigsen have received a grant from the NIH Director's office for work on participatory mutimodal AI and editable foundation models to improve diagnosis and tx. @BerkeleyCDSS @StanfordDBDS @UVA
Excited to share: MAST has been accepted as 🌟 NeurIPS D&B Spotlight🌟 Updates for the community: - NEW: We open-source 1,000+ multi-agent traces (link in 🧵). - lots of exciting use cases are emerging, we’ll be releasing blogs & tutorials to help you get started - And … more…
NeurIPS 2025 ✅ Our generate-verify de-hallucination paper is in! ✔️ DFS-backtracking–like tricks fix VLM hallucinations ✔️ Explicit confidence targets matter (we stressed this before @OpenAI’s “Why LMs Hallucinate”) 👉 Check it out: reverse-vlm.github.io See u all at SD!
NeurIPS 2025 ✅ Our generate-verify de-hallucination paper is in! ✔️ DFS-backtracking–like tricks fix VLM hallucinations ✔️ Explicit confidence targets matter (we stressed this before @OpenAI’s “Why LMs Hallucinate”) 👉 Check it out: reverse-vlm.github.io See u all at SD! https://t.co/Yx1PhugKDW
We present RAPTOR! 🚁 A tiny foundation policy flying any quadrotor 🦾 Tested on 10 real quadrotors from 32g to 2.4kg ⚡️ Adapts within milliseconds, zero-shot ⚙️ Runs inside PX4/Betaflight/etc.

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