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robojepa.github.io

robojepa.github.io — Action-conditioned latent world models from 22M to 8B parameters, with predictable…

robojepa.github.io is Action-conditioned latent world models from 22M to 8B parameters, with predictable scaling and zero-shot planning on a real robot.. It is ranked #4616 on the AI Radar, in AI research, first seen 25 days ago and shared in 1 post (410 views).

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RoboJEPA: Scaling Robotic Latent World Models RoboJEPA Scaling Robotic Latent World Models Artem Zholus , Nicolas Beltran-Velez , Jianhao Yuan , Sarath Chandar , Tushar Nagarajan , Daniel Severo , Koustuv Sinha , Michal Drozdzal , Adriana Romero Soriano , Jeannette Bohg † , Nicolas Ballas † , Mahmoud Assran † FAIR at Meta · Mila – Quebec AI Institute · Chandar Research Lab · Polytechnique Montréal † Joint last author In the background: imaginations by RoboJEPA-8B. First three DROID camera views, then many robots, cameras and resolutions. Each starts from recorded frames and follows a sequence of actions; everything after the first frame is…

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What is robojepa.github.io?

Action-conditioned latent world models from 22M to 8B parameters, with predictable scaling and zero-shot planning on a real robot. It was first shared on X 25 days ago and is ranked #4616 on the AI Radar.

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1 account on X, including @pentestduck, in 1 post totalling 410 views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.5k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:50 UTC. Full method.