Stefano Saliceti

[Demis Hassabis @demishassabis]

Developers can try it in @GoogleAIStudio: https://t.co/7xbm3QaJa4

[Demis Hassabis @demishassabis]

Great to see our collaboration w/ @BostonDynamics unlocking new capabilities! Gemini Robotics-ER 1.6 enables robots like Spot to read complex industrial gauges autonomously. Exciting step toward robots that can understand & operate usefully in the physical world

[Demis Hassabis @demishassabis]

Excited to partner with Agile Robots! Looking forward to seeing our models being deployed through Agile Robots incredible platform to help solve some of the most complex industrial challenges

[Stefano Saliceti @power_ste]

Exciting times ahead!

[Google DeepMind @GoogleDeepMind]

Google DeepMind 🤝 @BostonDynamics

Our new research partnership will bring together our advancements in Gemini Robotics’s foundational capabilities to their new Atlas® humanoids. 🦾

Find out more → https://t.co/Z4fL9ixjW3

[Yixin Lin @yixin_lin_]

Complementary to Gemini Robotics -- the massive vision-language-action (VLA) model released yesterday -- we also investigated how far we can push Gemini for robotics _purely from simulation data_ in Proc4Gem: 🧵

[Stefano Saliceti @power_ste]

Stoked to have been a part of this!

[Sundar Pichai @sundarpichai]

We’ve always thought of robotics as a helpful testing ground for translating AI advances into the physical world. Today we’re taking our next step in this journey with our newest Gemini 2.0 robotics models. They show state of the art performance on two important benchmarks - generalization and embodied reasoning - which enable robots to draw from Gemini’s multimodal understanding of the world to make changes on the fly + adapt to their surroundings. This milestone lays the foundation for the next generation of robotics that can be helpful across a range of applications.

[Google DeepMind @GoogleDeepMind]

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. 🧵

[Google DeepMind @GoogleDeepMind]

Soccer players have to master a range of dynamic skills, from turning and kicking to chasing a ball. How could robots do the same? ⚽

We trained our AI agents to demonstrate a range of agile behaviors using reinforcement learning.

Here’s how. 🧵 https://t.co/RFBxLG6SMn

[Stefano Saliceti @power_ste]

when your boss's boss's ... boss tweets about your work ...

[Sundar Pichai @sundarpichai]

New research from @GoogleDeepMind brings together soccer and robotics. Using reinforcement learning, robots display agile and reactive movements similar to a soccer player, no shin guards needed:) https://t.co/K0WgdiIL10

[Sundar Pichai @sundarpichai]

New research from @GoogleDeepMind brings together soccer and robotics. Using reinforcement learning, robots display agile and reactive movements similar to a soccer player, no shin guards needed:) https://t.co/K0WgdiIL10

[Dwarkesh Patel @dwarkesh_sp]

.@ilyasut on why OpenAI gave up on robotics:

"Progress comes from the combination of compute and data.

There was no path to data from robotics.

I'd say that now it is possible to create a path forward, but one needs to really commit.

You could imagine a gradual path of improvement where you build more robots, they do more things, you collect more data and so on.

But you need to really love robots and need to be really willing to solve all the physical and logistical problems of dealing with them.

It's not the same as software at all."

[Google DeepMind @GoogleDeepMind]

We’re expanding Experience AI, an introductory course with @RaspberryPi_org for 11-14 year old students to learn about foundational AI.

It's now being rolled out 𝗴𝗹𝗼𝗯𝗮𝗹𝗹𝘆, providing interactive & responsible lessons to empower a new generation. 🌏https://t.co/GzzyETzlxL

[Google DeepMind @GoogleDeepMind]

Introducing MuJoCo 3.0: a major new release of our fast, powerful and open source tool for robotics research. 🤖

📈 GPU & TPU acceleration through #JAX
🖼️ Better simulation of more diverse objects - like clothes, screws, gears and donuts
💡 Find out more: https://t.co/KbzxeALTMV

[Stefano Saliceti @power_ste]

@kamathsblog @facontidavide @VinayakJagtap Same here! Both for the link and for the URDF tool!

[hardmaru @hardmaru]

OpenLLaMA-13B released‼️

OpenLLaMA aims to train Apache-licensed “drop in” replacement for Meta’s LLaMA models. They have been trained for 1T tokens on RedPajama dataset.

Given the popularity of models based on LLaMA-13B, this one should be quite useful.
https://t.co/YRrcI1bHiy

[PAL Robotics @PALRobotics]

Our favourite type of meeting - #Robot meet-up! 🤖
So exciting to see all the #robots hanging out together at the @ieee_ras_icra 2023 #Conference.
Can you spot our new TIAGo Pro Edition? 🔍
Come and meet us at our booth #F27
#technologynews

[PAL Robotics @PALRobotics]

Warming up for the @ieee_ras_icra 2023! A little spoiler from our CTO @luca_marchionni before the big day! Come and visit us at Booth F27 at London ExCeL #robotics #KANGAROO #TIAGoProEdition #TIAGo #ARI #ARan #ICRA2023

[Demis Hassabis @demishassabis]

As an AI-first company, I'm so excited for what's coming, including Gemini, the new Google DeepMind foundation model in training that will have impressive multimodal capabilities not seen in prior models. Can't wait to share more in the future! #GoogleIO

[raia hadsell @RaiaHadsell]

I absolutely enjoyed talking robots and AI with Scott Pelley and 60 minutes, but full credit goes to the @DeepMind Robotics team for the great research that turned these little OP3s into soccer pros!

[Stefano Saliceti @power_ste]

@facontidavide +1000.