New Video - Google’s New AI Learns Table Tennis! 🏓 youtube.com/watch?v=hPR5kU… #google #ai

Ready for our 4th video for the NeurIPS Conference workshop on #RobotLearning? 🤖👇 Today we have Gabriel Barth-Maron & Jackie Kay from @DeepMind discussing their work on 'A Generalist Agent (GATO)' youtube.com/watch?v=g8eAr0… Join us (virtually) at #NeurIPS2022 !

In the first talk of the #NeurIPS2022 Robot Learning Workshop's Uncertainty Aware Robotics panel, TU Darmstadt's brilliant Georgia Chalvatzaki explains how "Real Robots Learn with Structure" youtube.com/watch?v=iPSPBS…

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.

Only a 4 days left to submit to the 6th Robot Learning Workshop: Pretraining, Fine-Tuning, and Generalization with Large Scale Models. robot-learning.ml/2023/

Are you interested in cross-embodiment robotics and in need of more data for your models? robotics-transformer-x.github.io

We have extended the submission deadline of the #NeurIPS2023 #RobotLearning Workshop until Friday, Oct 6. robot-learning.ml Georgia Chalvatzaki @ CoRL+Humanoids 2025 Julien Perez Hamidreza Kasaei Alex Bewley Dhruv Shah Markus Wulfmeier Roberto Calandra Igor Gilitschenski Ingmar Posner Danica Kragic

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. dibyaghosh.com/rtx_viz/ Check it out! There's some pretty random and diverse robot data in there

🤖 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 robot-learning.ml #RobotLearning #NeurIPS2023 #AI #Robotics

Don’t miss tomorrow the 6th Robot Learning Workshop at #NeurIPS2023 w/ amazing lineup of speakers: Masha Itkina Jesse Thomason Dhruv Batra Arjun Majumdar Deepak Pathak Suraj Nair Matt Barnes Keerthana Gopalakrishnan @ CoRL / Humanoids 2025 Montserrat Gonzalez Arenas Fei Xia +robot demos 🤖! robot-learning.ml/2023/

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

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 🚀

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. 🧵

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: opensun3d.github.io 🚀 European Conference on Computer Vision #ECCV2026 ETH Zurich ETH AI Center Stanford University

🚨 Alex Bewley presenting now “Robots and Understanding the World around Them”! #ECCV2024 #OpenSUN3D European Conference on Computer Vision #ECCV2026 📍 Room: Amber 4 🌍 Schedule: opensun3d.github.io

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

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

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. 🧵