Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Introducing 𝐀𝐋𝐎𝐇𝐀 𝐔𝐧𝐥𝐞𝐚𝐬𝐡𝐞𝐝 🌋 - Pushing the boundaries of dexterity with low-cost robots and AI. Google DeepMind Finally got to share some videos after a few months. Robots are fully autonomous filmed in one continuous shot. Enjoy!

Tony Zhao

148,109 subscribers

354,581 Aufrufe • vor 2 Jahren •via X (Twitter)

Wissenschaft & Technologie Kunst

Anya Rossi• Live Now

Private livecam show

10 Kommentare

Profilbild von Tony Z. Zhao

Tony Z. Zhaovor 2 Jahren

Check out the tweet from @ayzwah for more details and closeup videos!

Profilbild von Tony Z. Zhao

Tony Z. Zhaovor 2 Jahren

team: @ayzwah, @JonathanTompson, @DannyDriess, @peteflorence, @coolboi95, @chelseabfinn @SpencerGoodric6 🚀

Profilbild von Nat Friedman

Nat Friedmanvor 2 Jahren

@GoogleDeepMind Wow!

Profilbild von cole murray

cole murrayvor 2 Jahren

@GoogleDeepMind The second hand stabilizing 🔥👏

Profilbild von Peter Chen

Peter Chenvor 2 Jahren

@GoogleDeepMind Love the one continuous take demo! Congrats @tonyzzhao !

Profilbild von Investronauts

Investronautsvor 2 Jahren

@GoogleDeepMind Is the model open-source?

Profilbild von sarah guo // conviction

sarah guo // convictionvor 2 Jahren

@GoogleDeepMind GOATED the robots are coming

Profilbild von Gonzalo Espinoza Graham 🏴‍☠️

Gonzalo Espinoza Graham 🏴‍☠️vor 2 Jahren

@GoogleDeepMind This demo is like traveling in time and seeing what the future holds for us. Exciting

Profilbild von Andre Infante

Andre Infantevor 2 Jahren

@GoogleDeepMind This is really nice work! How much data are we looking at here? Is it one policy with task conditioning or a bunch of separate checkpoints?

Profilbild von Seif

Seifvor 2 Jahren

@GoogleDeepMind really cool! how many demonstrations did you need on average per task?

Ähnliche Videos

Introducing the world's smallest, fully programmable, autonomous robots. Created by Marc Miskin of @Penn_ESE and David Blauuw of Michigan Engineering, the microscopic robots can independently sense and respond to their surroundings, operate for months and cost just a penny each.

Introducing the world's smallest, fully programmable, autonomous robots. Created by Marc Miskin of @Penn_ESE and David Blauuw of Michigan Engineering, the microscopic robots can independently sense and respond to their surroundings, operate for months and cost just a penny each.

Penn Engineering

18,213 Aufrufe • vor 9 Monaten

For the past year we've been working on ALOHA Unleashed 🌋 Google DeepMind - pushing the scale and dexterity of tasks on our ALOHA 2 fleet. Here is a thread with some of the coolest videos! The first task is hanging a shirt on a hanger (autonomous 1x)

For the past year we've been working on ALOHA Unleashed 🌋 Google DeepMind - pushing the scale and dexterity of tasks on our ALOHA 2 fleet. Here is a thread with some of the coolest videos! The first task is hanging a shirt on a hanger (autonomous 1x)

Ayzaan Wahid

141,119 Aufrufe • vor 2 Jahren

Robots are not ready to take over the world yet! Zipeng Fu and I just compiled a video of the dumbest mistakes 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐋𝐎𝐇𝐀🏄 made in the autonomous mode 🤣 We are also planning to organize some live demos after taking a break. Stay tuned!

Robots are not ready to take over the world yet! Zipeng Fu and I just compiled a video of the dumbest mistakes 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐋𝐎𝐇𝐀🏄 made in the autonomous mode 🤣 We are also planning to organize some live demos after taking a break. Stay tuned!

Tony Zhao

333,034 Aufrufe • vor 2 Jahren

From cleaning up the kitchen to fetching a snack, could robots one day assist us in our daily lives? In Google DeepMind: The Podcast, Jeff Dean spoke with Hannah Fry about the potential for AI to power robots capable of understanding and responding to natural language. ↓

From cleaning up the kitchen to fetching a snack, could robots one day assist us in our daily lives? In Google DeepMind: The Podcast, Jeff Dean spoke with Hannah Fry about the potential for AI to power robots capable of understanding and responding to natural language. ↓

Google DeepMind

126,197 Aufrufe • vor 2 Jahren

Boston Dynamics and Google DeepMind announced a partnership to integrate Gemini Robotics AI models with the new electric Atlas humanoid robots. Got to say hi to Carolina Parada before the presentation

Boston Dynamics and Google DeepMind announced a partnership to integrate Gemini Robotics AI models with the new electric Atlas humanoid robots. Got to say hi to Carolina Parada before the presentation

The Humanoid Hub

14,689 Aufrufe • vor 9 Monaten

Boston Dynamics will begin production of the new Atlas robots at its Boston headquarters immediately. All Atlas deployments are already fully committed for 2026, with fleets scheduled to ship to Hyundai and Google DeepMind in the coming months. The company plans to add additional customers in early 2027 and also plans to build a new robotics factory by 2028 that is capable of producing 30,000 robots per year.

Boston Dynamics will begin production of the new Atlas robots at its Boston headquarters immediately. All Atlas deployments are already fully committed for 2026, with fleets scheduled to ship to Hyundai and Google DeepMind in the coming months. The company plans to add additional customers in early 2027 and also plans to build a new robotics factory by 2028 that is capable of producing 30,000 robots per year.

The Humanoid Hub

349,935 Aufrufe • vor 9 Monaten

Time to democratize humanoid robots! Introducing ToddlerBot, a low-cost ($6K), open-source humanoid for robotics and AI research. Watch two ToddlerBots seamlessly chain their loco-manipulation skills to collaborate in tidying up after a toy session.

Time to democratize humanoid robots! Introducing ToddlerBot, a low-cost ($6K), open-source humanoid for robotics and AI research. Watch two ToddlerBots seamlessly chain their loco-manipulation skills to collaborate in tidying up after a toy session.

Haochen Shi

113,845 Aufrufe • vor 1 Jahr

NEWS: DeepMind teaches robots to play soccer. In a paper released today Google's DeepMind details how they used Deep Reinforcement Learning (Deep RL) to train low-cost, miniature humanoid robots in dynamic environments, allowing them to play a simplified one-versus-one (1v1) soccer game. The robots, equipped with 20 actuated joints, were initially trained in simulation using the MuJoCo physics engine. Through this training, they learned robust and dynamic movement skills like rapid fall recovery, walking, turning, and kicking. The robots seamlessly transitioned between these skills, even surpassing expectations, and developed a basic strategic understanding of the game. During matches, the trained robots demonstrated agile skills such as turning, kicking moving balls, and dynamic defensive blocking. They quickly combined these skills, showcasing their adaptability and outperforming scripted baselines. The robots walked faster, got up quicker, and kicked faster than their counterparts. Individual skills were first trained in isolation within the simulation environment, and then composed in a self-play setting. The robots successfully transferred these skills to real-world scenarios. Full paper can be found here:

NEWS: DeepMind teaches robots to play soccer. In a paper released today Google's DeepMind details how they used Deep Reinforcement Learning (Deep RL) to train low-cost, miniature humanoid robots in dynamic environments, allowing them to play a simplified one-versus-one (1v1) soccer game. The robots, equipped with 20 actuated joints, were initially trained in simulation using the MuJoCo physics engine. Through this training, they learned robust and dynamic movement skills like rapid fall recovery, walking, turning, and kicking. The robots seamlessly transitioned between these skills, even surpassing expectations, and developed a basic strategic understanding of the game. During matches, the trained robots demonstrated agile skills such as turning, kicking moving balls, and dynamic defensive blocking. They quickly combined these skills, showcasing their adaptability and outperforming scripted baselines. The robots walked faster, got up quicker, and kicked faster than their counterparts. Individual skills were first trained in isolation within the simulation environment, and then composed in a self-play setting. The robots successfully transferred these skills to real-world scenarios. Full paper can be found here:

Dave Lee

372,039 Aufrufe • vor 3 Jahren

How can robots acquire fine-grained manipulation skills? Introducing ACT: Action Chunking with Transformers 🤖 Key idea: Imitation, but predict actions in chunks instead of one at a time. Here are results with only ~15min of demonstrations, running on low-cost arms:

How can robots acquire fine-grained manipulation skills? Introducing ACT: Action Chunking with Transformers 🤖 Key idea: Imitation, but predict actions in chunks instead of one at a time. Here are results with only ~15min of demonstrations, running on low-cost arms:

Tony Zhao

247,890 Aufrufe • vor 3 Jahren

🇯🇵 1 in 3 Japanese companies are already using or thinking about deploying AI-powered robots, with automakers leading the charge. The driver is simple: Japan is running out of workers and robots are the plan. Japan just needs to hold off China and the U.S. first. They are giving Japan serious competition in the next generation of autonomous robots, and its old industrial giants don't have the edge they once did. Source: Reuters

🇯🇵 1 in 3 Japanese companies are already using or thinking about deploying AI-powered robots, with automakers leading the charge. The driver is simple: Japan is running out of workers and robots are the plan. Japan just needs to hold off China and the U.S. first. They are giving Japan serious competition in the next generation of autonomous robots, and its old industrial giants don't have the edge they once did. Source: Reuters

Mario Nawfal

27,617 Aufrufe • vor 4 Monaten

Dynamic manipulation steps up to the plate! This is a first look at a low-impedance platform designed to study how robots manipulate objects. In this demo, two robots play catch and practice batting, even teaming up with humans. The robots are capable of throwing 70mph [112 kph] and can catch and bat at short distances (23ft [7m]) :

Dynamic manipulation steps up to the plate! This is a first look at a low-impedance platform designed to study how robots manipulate objects. In this demo, two robots play catch and practice batting, even teaming up with humans. The robots are capable of throwing 70mph [112 kph] and can catch and bat at short distances (23ft [7m]) :

RAI Institute

25,689 Aufrufe • vor 10 Monaten

Robots Doing Stuff #61 | Bimanual Nut Pick and Threading This is a real customer task: one step in a longer multi-part sequence we’re training in our labs. Threading requires precise alignment, force control, and fine manipulation. These are foundational capabilities for industrial dexterity applications that are currently inaccessible with traditional automation. We teleoperate these tasks to collect the data that trains our Physical AI. Next stop: autonomous. Visit to learn more about our Physical AI-enabled automation solutions. #Dexterity #DexterousHand #RobotHand #Robotics #RobotsDoingStuff #SanctuaryAI

Robots Doing Stuff #61 | Bimanual Nut Pick and Threading This is a real customer task: one step in a longer multi-part sequence we’re training in our labs. Threading requires precise alignment, force control, and fine manipulation. These are foundational capabilities for industrial dexterity applications that are currently inaccessible with traditional automation. We teleoperate these tasks to collect the data that trains our Physical AI. Next stop: autonomous. Visit to learn more about our Physical AI-enabled automation solutions. #Dexterity #DexterousHand #RobotHand #Robotics #RobotsDoingStuff #SanctuaryAI

Sanctuary AI

38,402 Aufrufe • vor 2 Monaten

Introducing 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐋𝐎𝐇𝐀🏄 -- Hardware! A low-cost, open-source, mobile manipulator. One of the most high-effort projects in my past 5yrs! Not possible without co-lead Zipeng Fu and Chelsea Finn. At the end, what's better than cooking yourself a meal with the 🤖🧑‍🍳

Introducing 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐋𝐎𝐇𝐀🏄 -- Hardware! A low-cost, open-source, mobile manipulator. One of the most high-effort projects in my past 5yrs! Not possible without co-lead Zipeng Fu and Chelsea Finn. At the end, what's better than cooking yourself a meal with the 🤖🧑‍🍳

Tony Zhao

1,669,194 Aufrufe • vor 2 Jahren

ELON: AI AND ROBOTS WILL CREATE AN AGE OF ABUNDANCE "I think that there's no actual limit to the size of the economy once you have general purpose humanoid robots and autonomous vehicles. You can build anything. The economy is really just the average productivity per person times number of people. That's the economy, and if you've got humanoid robots where there's no real limit on the number of humanoid robots and they can operate very intelligently, then there's no meaningful limit to the economy. The good future of AI is one of immense prosperity, where there is an age of abundance, no shortage of goods and services. Everyone can have whatever they want, anything that is a manufactured good or provided service. With the advent of AI plus robotics, the cost of goods and services will trend to zero." Source: The All-In Podcast

ELON: AI AND ROBOTS WILL CREATE AN AGE OF ABUNDANCE "I think that there's no actual limit to the size of the economy once you have general purpose humanoid robots and autonomous vehicles. You can build anything. The economy is really just the average productivity per person times number of people. That's the economy, and if you've got humanoid robots where there's no real limit on the number of humanoid robots and they can operate very intelligently, then there's no meaningful limit to the economy. The good future of AI is one of immense prosperity, where there is an age of abundance, no shortage of goods and services. Everyone can have whatever they want, anything that is a manufactured good or provided service. With the advent of AI plus robotics, the cost of goods and services will trend to zero." Source: The All-In Podcast

Mario Nawfal

341,719 Aufrufe • vor 10 Monaten

Time for the open-source AI robots revolution 🚀 We’ve been playing with a low-cost DJI robot controlled by 3 local open-source AI models (Whisper, Idefics2, Parler-TTS - all Apache2) & orchestrated by Dora-cs In comments a 250 lines code gist to build on top of it => enjoy!!

Time for the open-source AI robots revolution 🚀 We’ve been playing with a low-cost DJI robot controlled by 3 local open-source AI models (Whisper, Idefics2, Parler-TTS - all Apache2) & orchestrated by Dora-cs In comments a 250 lines code gist to build on top of it => enjoy!!

Thomas Wolf

138,094 Aufrufe • vor 2 Jahren

After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now. Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network. This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting started. It’s been a wild year, and today we’re double clicking on the battlefield stories and sharing a few learnings about scaling robot deployments. We are just scratching the surface. Read the full blog post:

After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now. Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network. This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting started. It’s been a wild year, and today we’re double clicking on the battlefield stories and sharing a few learnings about scaling robot deployments. We are just scratching the surface. Read the full blog post:

Dyna Robotics

341,188 Aufrufe • vor 1 Monat

.Sergey Levine is one of the world's leading robotics researchers (and co-founder of Physical Intelligence). He thinks fully autonomous robots are much closer than people realize - when I pushed him on a prediction, he said 5 years to robots that can autonomously run your household). The big game changer, in his view, is that we finally have LLMs with common sense and prior knowledge that we can scaffold the robot models around. We get into all the reasons this might not happen, the data flywheel from deployment, architecture, simulation, manufacturing, and much more. Enjoy! 0:00:00 – Timeline to widely deployed autonomous robots 0:22:12 – Why robotics will scale faster than self-driving cars 0:32:15 – How vision-language-action models work 0:50:26 – Improvements needed for brainlike efficiency 1:02:48 – Learning from simulation 1:14:08 – How much will robots speed up AI buildouts? 1:22:54 – If hardware’s the bottleneck, does China win by default?

.Sergey Levine is one of the world's leading robotics researchers (and co-founder of Physical Intelligence). He thinks fully autonomous robots are much closer than people realize - when I pushed him on a prediction, he said 5 years to robots that can autonomously run your household). The big game changer, in his view, is that we finally have LLMs with common sense and prior knowledge that we can scaffold the robot models around. We get into all the reasons this might not happen, the data flywheel from deployment, architecture, simulation, manufacturing, and much more. Enjoy! 0:00:00 – Timeline to widely deployed autonomous robots 0:22:12 – Why robotics will scale faster than self-driving cars 0:32:15 – How vision-language-action models work 0:50:26 – Improvements needed for brainlike efficiency 1:02:48 – Learning from simulation 1:14:08 – How much will robots speed up AI buildouts? 1:22:54 – If hardware’s the bottleneck, does China win by default?

Dwarkesh Patel

211,158 Aufrufe • vor 1 Jahr