gijs (@_gijsdj)

gijs @_gijsdj

8h

our goalie 🤩

Booster Robotics

@boosterobotics

Jul 4

One save. Countless hours of development. #boosterrobotics #robocup #football #humanoid #robot #soccor

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9h

this is not booster’s inhouse goalkeeper! this is a policy we trained using mjlab!

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Eren Chen

@ErenChenAI

Jul 4

Booster’s in-house goalkeeper algorithm looks solid, giving the robot a level of shot-stopping that feels close to a top-tier keeper like Courtois.

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Hongsuk Benjamin Choi

@redstone_hong

Jun 26

FPO code is out! We’re releasing the full training and evaluation code for locomotion, motion tracking, and manipulation. github.com/amazon-far/fpo-co… Co-led with @brenthyi

GitHub - amazon-far/fpo-control: Flow Policy Gradients for Robot Control

Flow Policy Gradients for Robot Control. Contribute to amazon-far/fpo-control development by creating an account on GitHub.

github.com

Brent Yi @brenthyi

Feb 6

New project! Flow Policy Gradients for Robot Control tldr; a simple online RL recipe for training and fine-tuning flow policies for robots co-led w/ @redstone_hong: hongsukchoi.github.io/fpo-co…

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Google DeepMind

@GoogleDeepMind

Jun 11

We’re teaming up @Palmeiras, the first football club to meaningfully build upon TacticAI: our AI system that can help simulate field scenarios and predict open play dynamics up to 8 seconds in advance. ⚽

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Lucky Robots

@luckyrobots

Jun 11

We are super excited to share with you our initial release of Lucky Engine. We are building a robotics engine from the ground up to be what we wished we could find in a simulator before

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Pablo Vela

@pablovelagomez1

May 29

Hardware acquired 🫡 thanks to @boosterobotics. Now I finally have something I can use for imitation learning. Thanks to @_gijsdj for building out the @rerundotio integration

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Pablo Vela

@pablovelagomez1

May 28

I'm going to my first @CVPR this year!! I'll be there representing @rerundotio. I'm not entirely sure what to expect, but feel free to say hi 👋. Would love any advice on how to get the most out of CVPR. My DMs are open if you want to reach out! I also wanted to share a much deeper breakdown of what I've been working on. Take a look and let me know what you think! TLDW: Break down the full pipeline of ingestion -> rrd file creation -> catalog registration -> dataset review -> data enrichment using pytorch data loader All made possible with the latest 0.32 @rerundotio open-source SDK release.

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gijs @_gijsdj

May 21

sim vs real

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gijs @_gijsdj

May 21

my policy thinks its slick

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gijs @_gijsdj

May 21

my policy thinks its slick

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Binh Pham

@pham_blnh

May 18

whoever made the robot catch the mouse cursor on @rerundotio cooked

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Rerun

@rerundotio

May 18

The robotics ecosystem has been missing a unified framework flexible enough for the full lifecycle of robot learning data. Rerun 0.32 is the point where the pieces start to come together: record, inspect, query, transform, review, and train without constantly changing representations. All the details in our release post 👇

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gijs @_gijsdj

May 8

remember to clean your mocap data!

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Yuxuan Mu

@YuxuanMu16173

Apr 27

Can we build a standalone, modular, and reusable naturalness reward for training motor controllers? #SMP is a step toward that vision. Once SMP has been trained on a motion dataset, the priors can be reused to train new controllers to perform diverse tasks while adhering to the behaviors in the dataset, without original dataset or retraining. 🔥 Excited to share our latest work, SMP: Score-Matching Motion Priors, accepted to @siggraph Webpage: yxmu.foo/smp-page Code: github.com/xbpeng/MimicKit Paper: yxmu.foo/smp-page/assets/pap… Video: youtu.be/jBA2tWk6vzU

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gijs @_gijsdj

Apr 24

sadly gpt5.5 cannot help me pin down tables where I want them in latex

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Eren Chen

@ErenChenAI

Apr 18

Booster is also attending the Beijing Marathon. Not with K1. REVEAL TIME!

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Eren Chen

@ErenChenAI

Apr 16

Booster Robotics just completed a new funding round of approximately 1 Billion RMB (~140 million USD) . The proceeds will be used to expand global networks, deepen education-focused deployments, and prepare for the incoming consumer-grade product launch.

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Hojoon Lee @hojoon_ai

Apr 7

We scaled off-policy RL to sim-to-real. To our knowledge, FlashSAC is the fastest and most performant RL algorithm across IsaacLab, MuJoCo Playground, and many more, all with a single set of hyperparameters. Project page: holiday-robot.github.io/Flas… Paper: arxiv.org/pdf/2604.04539

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Logan Olson

@jloganolson

Apr 3

Short clip from the first playtest yesterday - lots of room for improvement but always exciting when the prototype is finally stood up end-to-end.

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Asimov

@asimovinc

Apr 1

Introducing OpenCrane, an open-source crane for humanoid robots. 200 cm tall, 180 cm span, built from 6063-T5 aluminium extrusions. It's easy to mount anything onto the frame without drilling. Repo: github.com/asimovinc/opencra…

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