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Ranjay Krishna

@RanjayKrishna

Assistant Professor @ University of Washington, Co-Director of RAIVN lab (raivn.cs.washington.edu), Director of PRIOR team (prior.allenai.org)
California, USA ranjaykrishna.com Joined August 2011
435 Following 6.3K Followers 2.1K Posts

Latest posts 5

Ranjay Krishna @RanjayKrishna
Precision is vital for robotic manipulation. Language reasoning (VLAs) are limited in their precision. Pixel generation (WAMs) are overkill.

GAMs are an alternative to both. It uses 3D grounding models instead of language models of video generators.
Jiafei Duan✈️CoRL2026 Verified account @DJiafei Sep 22
VLAs? WAMs? Are language and video models the right foundations for robotics?

Introducing Grounded Action Model (GAM): a new paradigm that builds robot foundation models on top of a pretrained 3D grounding model.

Ground first. Then learn to act. 🧵👇
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3 replies 4 reposts 37 likes 5.2K views View on X
Ranjay Krishna @RanjayKrishna
📣 Call for Papers — 1st Workshop on Multimodal Digital Agents (MDA) @ ECCV 2026

How should AI agents see and act across web, desktop, and mobile interfaces? We're bringing together work on vision-centric digital agents — perception, reasoning, benchmarks, safety, and more.

🗓️ Sept 8, 2026 (ECCV) · ✍️ Submit by July 29 (AoE)
📄 Full paper (≤14 pages, ECCV-accepted welcome) or extended abstract (≤4 pages) — non-archival, 🏆 best paper award
🎤 Speakers include Graham Neubig, Ranjay Krishna, Qianhui Wu & Alexandre Drouin

Submit / details → mda-workshop.allen.ai

#ECCV2026 #ComputerVision #AIagents #Multimodal #GUIagents
1 replies 8 reposts 28 likes 10K views View on X
Ranjay Krishna @RanjayKrishna
We believe agents for the open web should be built in the open!

We are releasing MolmoWeb, a completely reproducible SOTA Web Agent!

Open Data, Open Weights, Open Code!
Ai2 Verified account @allen_ai Mar 24
Today we're releasing MolmoWeb, an open source agent that can navigate + complete tasks in a browser on your behalf.

Built on Molmo 2 in 4B & 8B sizes, it sets a new open-weight SOTA across four major web-agent benchmarks & even surpasses agents built on proprietary models. 🧵
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Ranjay Krishna @RanjayKrishna
We are releasing MolmoBot! We challenge the assumption that sim-to-real requires real-world finetuning. Our robot models beat strong baselines with no real world data.

With enough diversity and scale in simulation, zero-shot transfer can actually work—across both static and mobile manipulation.

Similar to all our projects, everything is open sourced.
Ai2 Verified account @allen_ai Mar 11
Today, a step forward in open robotics - our results show that sim-to-real zero shot transfer for manipulation is possible. MolmoBot is our open model suite for robotics, trained entirely in simulation on MolmoSpaces.🧵
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