Julen Urain

@robotgradient

Robotics Tinkerer. RS @Amazon FAR Prev: @META (FAIR), @DFKI, @TUDarmstadt robotgradient.com X github.com/robotgradient

robotgradient.com

Joined November 2017

1,452 Following

1,478 Followers

Replies Reposts Media

Julen Urain
@robotgradient
23h
An amazing work lead by @aahoussaini !!An all-in-one framework to benchmark dexterous manipulation Including environment, data and a simple interface for cross-embodiment robotics! We are using it in our incoming works 🔥
Anas Houssaini ✈️ CoRL 2026
@aahoussaini
Nov 4
Dexterous manipulation deserves better tools 🖐️ Excited to share DexSuite: an all-in-one, open-source simulation framework for dexterous manipulation, built on Genesis 🚀 Nobody said research paper videos need to be boring... (put volume up) 🌐 dexsuiteorg.github.io
Julen Urain
@robotgradient
Oct 29
Ed & Vitalis are super great people and researchers and the idea of Instant Robot Learning is soooo elegant and useful for robotics. Congratulations on the release!! Anybody interested in doing cutting-edge research should consider applying ❤️‍🔥
Edward Johns
@Ed__Johns
Oct 29
On Tuesday, we announced @Machenta_ and Instant Robot Learning. Today, we’re looking for the next people to join us all in London! machenta.com/team Building Machenta with everyone here has been such an adventure. And above all, so much fun. Partly I think this is
1
Julen Urain
@robotgradient
Oct 24
Great blog by @ToruO_O ! My view is that we as researchers are becoming into great Rick Rubin youtu.be/jg1WUOxY6Cg?si…
Toru
@ToruO_O
Oct 24
How should we approach research, when the very field we work on is going through rapid and potentially fundamental changes? I recently gave a talk at the Stanford Vision Seminar, reflecting on my PhD journey and how AI is changing the way I think about research. I adapted part
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
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)
Andy Zeng
@andyzengineer
Jan 29
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

Julen Urain

Julen Urain’s posts