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Julen Urain
292 posts
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@robotgradient

Julen Urain

@robotgradient
Robotics Tinkerer. RS @Amazon FAR Prev: @META (FAIR), @DFKI, @TUDarmstadt robotgradient.com X github.com/robotgradient
robotgradient.com
Joined November 2017
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  • @robotgradient
    Julen Urain
    @robotgradient
    Jan 31
    There has been a clear trend in the last months moving from VLA-type approaches to Video Generative Models + Inverse Dynamics Models (VAM). While the probable main reason of this recent growth is the latest improvements in video generative models, I believe this shift is
    point-world.github.io
    PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation
    PointWorld: Scaling 3D world models for in-the-wild robotic manipulation.
    2
  • @robotgradient
    Julen Urain
    @robotgradient
    Jan 29
    While I really liked the article, it feels to me that this physical commonsense can be better capture by predicting next observations (i.e. world models) and planning on it, rather than training a policy on predicting next action (i.e. behavioral cloning)
    @andyzengineer
    Andy Zeng
    @andyzengineer
    Jan 29
    Article cover image
    Article
    The Dark Matter of Robotics: Physical Commonsense
    It should exist. It’s everywhere. And yet — hard to pin down. The next time you grab an object tightly packed on a shelf — like a book or a box — watch what your hands do. Do you nudge it sideways to...
    1
  • @robotgradient
    Julen Urain
    @robotgradient
    Nov 21, 2025
    This was very challenging and very cool to see evolve! I personally was no sure if it would work, but @irmakkguzey pushed so hard to show it does. Learning dexterous robot policies with only human video data, using the egocentric view from Aria2 glasses, chill and easy 😁
    @irmakkguzey
    Irmak Guzey
    @irmakkguzey
    Nov 21, 2025
    Dexterous manipulation by directly observing humans - a dream in AI for decades - is hard due to visual and embodiment gaps. With simple yet powerful hardware - Aria 2 glasses 👓 - and our new work AINA 🪞, we are now one significant step closer to achieving this dream.
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  • @robotgradient
    Julen Urain
    @robotgradient
    Oct 28, 2025
    The expert mode is going to bring a lot of news in the future 🙃
    @1x_tech
    1X
    @1x_tech
    Oct 28, 2025
    NEO The Home Robot Order Today
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  • @robotgradient
    Julen Urain
    @robotgradient
    May 27, 2025
    Anyone interested in tactile sensing for robotics should be following Akash's solid releases. How should we integrate rich tactile sensing modality for policy learning?
    @akashshrm02
    Akash Sharma
    @akashshrm02
    May 27, 2025
    Robots need touch for human-like hands to reach the goal of general manipulation. However, approaches today don’t use tactile sensing or use specific architectures per tactile task. Can 1 model improve many tactile tasks? 🌟Introducing Sparsh-skin: tinyurl.com/y935wz5c 1/6
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