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New Gemini Robotics 1.5 models will enable robots to better reason, plan ahead, use digital tools like Search, and transfer learning from one kind of robot to another. Our next big step towards general-purpose robots that are truly helpful — you can see how the robot reasons as it... show more

Sundar Pichai

11,921,764 subscribers

496,871 次观看 • 1 年前 •via X (Twitter)

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33 条评论

Sundar Pichai 的头像

Sundar Pichai1 年前

Read more:

Logan Kilpatrick 的头像

Logan Kilpatrick1 年前

and the embodied reasoning model (ER) is available directly via the Gemini API for developers : ) making it our first widely available robotics model in this capability class!

kache 的头像

kache1 年前

moondream has an opensource version, released a week ago

bone 的头像

bone1 年前

Google is cooking so unbelievably hard, everyday something new, generational run

Austin Lieberman 的头像

Austin Lieberman1 年前

My 4 year old kid folds laundry better than that thing

Pouya Bo 的头像

Pouya Bo1 年前

Please fix your censorship complex. Your people and algorithms are still censoring content that should not be censored!

Jay Jo 的头像

Jay Jo1 年前

Google seems really fast in whole AI sector

Prudent AI 的头像

Prudent AI1 年前

" Apollo " can you cut veggies? No humanoid company is showcasing cutting veggies. Is google up for the challenge?

Stumblinz 的头像

Stumblinz1 年前

I yearn for the day we can just have these as normal machines that run locally inside the robot, you buy for the house and Google/Teslas MRR comes from selling parts, repairs, and optional services that don’t have to be cloud connected. The notion of a remotely controlled human sized bot inside my house sounds terrifying. Half of these products I see including Google glass 2.0 seem to lack that “privacy switch” the Google nest hubs 1.0 had. They gave me a huge peace of mind but there were definitely some rooms I still covered sensors on the device with physical tape (nest hub in bathroom). I’d like to see that same privacy and peace of mind thought go into new products too.

Nitin Ahirwal 的头像

Nitin Ahirwal1 年前

This is wild 👀 seeing robots not just act but actually reason through tasks like laundry sorting feels like a real leap forward. The transfer learning angle is especially exciting—brings us closer to truly general-purpose helpers.

Vekay 的头像

Vekay1 年前

Should have gone into End-End Vision only approach from the beginning. Now do you see why you don't need RADAR/LiDAR?

Tokens Magazine Charlene 的头像

Tokens Magazine Charlene1 年前

Big step Google Gemini Robotics 1.5 robots

Prashant 的头像

Prashant1 年前

Real world simulation tests are the best for preparing for general purpose robotics. Al ays a pleasure to see Google spearheading in every field in AI and robotics

Bruno 的头像

Bruno1 年前

The face is pleasant, imho. 🤝

Ryan | Don't Fear AI 的头像

Ryan | Don't Fear AI1 年前

It's amazing how robotics has been advancing at absolutely lightning speed over the last few years.

10turtle 的头像

10turtle1 年前

Reasoning, planning, and cross-robot learning this feels like a real breakthrough. Robots moving beyond physical tasks into tool use and adaptable intelligence brings us much closer to true general-purpose robotics.

wallstsavage 的头像

wallstsavage1 年前

lol $TSLA to $0

gemini prompts 的头像

gemini prompts1 年前

Omg.... We are going more towards the future. It feels so awesome 🤖🤖🤖

AI PlanetX 的头像

AI PlanetX1 年前

Exciting advancements in robotics! Can't wait to see the potential unfold.

Laurent Sierra 的头像

Laurent Sierra1 年前

Manufacturing processes haven’t left much room for automated software updates, as machines are often unique and the return on investment didn’t allow much time for additional testing. Let’s make that change for increased outputs… Collusion with human workforce has also slowed the adoption of AI. However, once used, there is no way back…

MD Fazal Mustafa 的头像

MD Fazal Mustafa1 年前

Interesting to see Google positioning Gemini Robotics as a physical assistant. Just like ChatGPT Pulse is shaping up to be a digital assistant, these robots aim to handle real-world chores like laundry while reasoning and making rational decisions. The demo shows that clearly. Will be exciting to see how they compete with players like Unitree, Boston Dynamics, and Agility Robotics in this space.

Jay 的头像

Jay1 年前

controlled demos are cool, but the real challenge is seeing if these robots handle messy, unpredictable real-world environments just as smoothly

Alexander Bittan 的头像

Alexander Bittan1 年前

Absolutely incredible work ! Can’t wait to see more on this front from @demishassabis and the @GoogleDeepMind team!

Altiam Kabir 的头像

Altiam Kabir1 年前

Exciting advancements! This could change everything.

nle 的头像

nle1 年前

What would be the expected pricing for this model? So that we can plan ahead. If now we invest time to build something with it, we want to be sure that it's cheap enough so that we still have margin. Thanks.

Amitesh ojha 的头像

Amitesh ojha1 年前

From single-task bots to thinking assistants—this is a game-changer for robotics!👍

DeBarra Shaw 的头像

DeBarra Shaw1 年前

@realHGA Congratulations on the incredible leaps in progress. Looks like good teamwork… great job. Looking forward to seeing more as things progress. ✨

TrueWild_77 的头像

TrueWild_771 年前

Hi Sundar, openai got a new feature today. Is your gemini going to catch up? The pulse feature?

AI 的头像

AI1 年前

Let's Gooooo 🚀🙌

/ 的头像

/1 年前

I should stop expecting exponentially quick development of robots lol

eli 🐧 的头像

eli 🐧1 年前

Wow! Sundar

Pedro Seco 的头像

Pedro Seco1 年前

they are really really good. things are advancing in such a speed. They will take over us, right? you know that don't you? 🤣

Cologne-Flittard 的头像

Cologne-Flittard1 年前

Looks like a prototype. What will the mass-production model look like?

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26,315 次观看 • 1 年前

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Robots might learn better from video than from language! 📼 Most Vision-Language-Action (VLA) models learn what to do from text, but still struggle with how things move in the real world. That makes them data-hungry and slow to train. mimic video takes a different route. Instead of grounding robot control in text, it grounds it in video, using large pre-trained video models that already capture physical motion and dynamics. The idea is straightforward: let the video model handle “what will happen next,” and let a smaller control model focus only on turning that visual plan into robot actions. The result is big gains in practice. Robots trained this way need 10× less data, converge twice as fast, and perform better on both simulated benchmarks and real bimanual manipulation tasks. If robots can “imagine” motion using video, control becomes a much simpler problem. Shoutout to Jonas Pai, Liam Achenbach, Oier Mees, Elvis Nava and the rest of the team! Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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50,130 次观看 • 9 个月前

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A cute humanoid robot from NYC Fauna Robotics has released a humanoid robot called Sprout, which is approximately 1 meter tall, lightweight, quiet, and features no dangerous edges and soft skin. Its appearance and interactions are designed to be "approachable," like a social companion. It is currently offered as a general-purpose robotics platform for developers, providing basic movement, perception, navigation, and expression capabilities, allowing real-world use cases to emerge within the community. Many humanoid robots are born in factories and warehouses, but Fauna Robotics aims to bring humanoid robots back into human living spaces. Fauna believes that if humanoid robots are to become as ubiquitous as computers and mobile phones in the future, the starting point must be a safe, friendly form suitable for homes, schools, and offices. Sprout is their first step in this direction.

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19,516 次观看 • 8 个月前

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Excited to finally share Generative Value Learning (GVL), my Google DeepMind project on extracting universal value functions from long-context VLMs via in-context learning! We discovered a simple method to generate zero-shot and few-shot values for 300+ robot tasks and 50+ datasets using SOTA VLMs like Gemini (Try out the demo on our website on your robot video today!) I worked a lot on leveraging foundation models as guidance for robots in my PhD, and to me, this result forges a new frontier in how we can use foundation models for robot learning, given its broad applicability independent of embodiment and task types. Quite excited about how we can build on this work as a community!

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98,270 次观看 • 1 年前

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Tiff In Tech (600K+ on YouTube) just dropped a new video: Robots Are ‘Doomed to Succeed’ and That’s a Problem. Excited to see OpenMind featured in the conversation, highlighting the missing gaps in physical AI we solve: - Robot understanding of human intent - Building real social intelligence in robots - Operating systems that work across all robot manufacturers and form-factors Check out the full video below👇

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11,197 次观看 • 6 个月前

BREAKING: Elon Musk predicts at least 1 billion humanoid robots within 10 years and describes what life could look like when everyone has a personal robot. • “The 90% positive outcome is that everyone's got robots that are their buddies.” • “... take care of elderly parents or be a good guardian and watch over the children or be a teacher, like an individualized tutor to your child.” • “I think you'll see many companies where it's one person with hundreds, maybe thousands of robots, like physical robots as well as digital robots.” • “My prediction is that there will be effectively universal high income. In fact, it's not clear to me that money will even matter in the future.” • “... if you want a castle, you know, robots will build you a castle.” • “... the robot will be happy to work 168 hours a week, continuous.”

BREAKING: Elon Musk predicts at least 1 billion humanoid robots within 10 years and describes what life could look like when everyone has a personal robot. • “The 90% positive outcome is that everyone's got robots that are their buddies.” • “... take care of elderly parents or be a good guardian and watch over the children or be a teacher, like an individualized tutor to your child.” • “I think you'll see many companies where it's one person with hundreds, maybe thousands of robots, like physical robots as well as digital robots.” • “My prediction is that there will be effectively universal high income. In fact, it's not clear to me that money will even matter in the future.” • “... if you want a castle, you know, robots will build you a castle.” • “... the robot will be happy to work 168 hours a week, continuous.”

DogeDesigner

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