ML and computer vision researcher, progressing our collective knowledge through discovery, development and dissemination of ideas.
All opinions are my own.
@moo_jin_kim Interesting. How does it compare to [2512.15692] mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs https://t.co/F7g2VONXEm ?
We’re bringing powerful AI directly onto robots with Gemini Robotics On-Device. 🤖
It’s our first vision-language-action model to help make robots faster, highly efficient, and adaptable to new tasks and environments - without needing a constant internet connection. 🧵
Last week, we joined as co-sponsor of the 7th Robot Learning Workshop at #ICLR2025 in Singapore - themed "Towards Robots with Human-Level Abilities".
Here's a recap of what went down 👇🧵 1/10
Having organized the robot learning workshop for a number of years now. I'm ecstatic at how engaged the ICLR community has been for its inaugural appearance at #ICLR
Robotics at #ICLR2025 🇸🇬🇸🇬🇸🇬
Robotics workshop is the most attended one today. @chris_j_paxton delivering a keynote on home robotics.
Success of VLAs have increased interest in robotics so much.
@SepehrSamavi@IeeeTro@florian_shkurti@angelaschoellig Nice work in using trajectory forecasting for safe navigation around people. Have you evaluated your predictions on the JRDB benchmark? I didn't see it in your paper. There you may also find some open source trajectory prediction methods to try with your MPC planner.
🚨 Alex Bewley presenting now “Robots and Understanding the World around Them”! #ECCV2024#OpenSUN3D@eccvconf
📍 Room: Amber 4
🌍 Schedule: https://t.co/4nSXaJGNpR
Introducing our Keynote Speakers at this edition of the OpenSUN3D workshop #ECCV2024 (Sept 29, Sunday 14:00-15:30, Room: Amber 4) in Milano🇮🇹
Full schedule: https://t.co/XqA2dyAp2Q 🚀
@eccvconf@ETH_en@ETH_AI_Center@Stanford
Meet our AI-powered robot that’s ready to play table tennis. 🤖🏓
It’s the first agent to achieve amateur human level performance in this sport. Here’s how it works. 🧵
Open X-Embodiment wins the Best Paper Award at #ICRA2024 🎉🤖!
An unprecedented Best Paper 170+ author list (most didn’t fit on the slide) may be a record for ICRA! So amazing to see what a collaborative community effort can accomplish in pushing robotics + AI forward 🚀
The retina is arguably the most impressive part of the brain.
It’s the only part of the brain that faces the world directly - it’s a sensor and processor in one
Its consumes 50% more energy per gram than the rest of the brain.
1000:1 compression from retina to optic nerve
25000:1 from optic nerve to brain
For every 1Gb collected by the retina, 1Mb is sent to the brain thru the optic nerve and < 100bits used, at a rate of about 875Kbps. Similar to broadband internet.
🤖 Excited for the 6th Robot Learning Workshop at #NeurIPS tomorrow! 🚀 Join us for inspiring invited talks, panel, debate, engaging posters, and live robot demos! 🤯 Check out the papers and schedule at https://t.co/fn5a2x41qh #RobotLearning#NeurIPS2023#AI#Robotics
Got a chance to dig through the big robot X-embodiment dataset released last week, and hacked together a little website for others to look through the data.
https://t.co/U52QHJCBab
Check it out! There's some pretty random and diverse robot data in there
Only a 4 days left to submit to the 6th Robot Learning Workshop: Pretraining, Fine-Tuning, and Generalization with Large Scale Models.
https://t.co/u5wQqCHx7Y
In our Real-time Neural MPC paper, we leverage network capacities 4000x larger in optimizations. We now release L4CasADi, which enables easy integration of PyTorch models in optimizations on CPU and GPU, supporting fast C code generation and seamless integration in Acados.