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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...

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Sundar Pichai

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496,266 görüntüleme • 9 ay önce •via X (Twitter)

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1958, The Robot Guest. This Robbie The Robot influenced many ideas of how we see and react to robots even today. It is also one reason anthropomorphic bipedal humanoid robots are easier psychologically.
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1958, The Robot Guest. This Robbie The Robot influenced many ideas of how we see and react to robots even today. It is also one reason anthropomorphic bipedal humanoid robots are easier psychologically.

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One of the most insane/impressive robot video, proof that robotics has entered an entirely new era. Robots are coming

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Google DeepMind introduces Gemini Robotics 1.5, enabling robots to perceive, plan, think, use tools, and act on complex tasks. The agentic framework comprises: ⦿ Gemini Robotics-ER 1.5 (VLM): Orchestrates high-level embodied reasoning and planning. ⦿ Gemini Robotics 1.5 (VLA): Converts visuals and instructions provided by ER 1.5 into actions.
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Google DeepMind introduces Gemini Robotics 1.5, enabling robots to perceive, plan, think, use tools, and act on complex tasks. The agentic framework comprises: ⦿ Gemini Robotics-ER 1.5 (VLM): Orchestrates high-level embodied reasoning and planning. ⦿ Gemini Robotics 1.5 (VLA): Converts visuals and instructions provided by ER 1.5 into actions.

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Collaborating like an ant colony Blue Worm Robotics from Xi'an has released a wheeled humanoid robot solution for warehouse automation. The wheeled humanoid robots move freely and quickly among warehouse shelves and workstations, using their lifting bodies to move, transfer, and sort goods. The robots collaborate with each other, and multiple robots can even work together to assemble another robot. As the collaborative tasks become more complex, swarm intelligence will emerge.
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Collaborating like an ant colony Blue Worm Robotics from Xi'an has released a wheeled humanoid robot solution for warehouse automation. The wheeled humanoid robots move freely and quickly among warehouse shelves and workstations, using their lifting bodies to move, transfer, and sort goods. The robots collaborate with each other, and multiple robots can even work together to assemble another robot. As the collaborative tasks become more complex, swarm intelligence will emerge.

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Every home is different. That means that to build a useful home robot, we must be able to perform zero-shot generalization on a wide range of tasks. Humanoid company 1X has a solution: world models. 1X Director of Evaluations Daniel Ho joins us on RoboPapers to talk about: - why world models are the future for scaling robot learning - how to use world models for robot control - what world models unlock for evaluating robot model performance - how we can hill-climb from here to general purpose robots Watch Episode #61 of RoboPapers, with Michael Cho - Rbt/Acc and Chris Paxton, now!

RoboPapers

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Another uncut video of robots manipulating objects - this time it only missed a grasp at the very end. One step closer towards a general method of optimising robot reliability - still a long way to go though!
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Another uncut video of robots manipulating objects - this time it only missed a grasp at the very end. One step closer towards a general method of optimising robot reliability - still a long way to go though!

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Meet Gemini Robotics: our latest AI models designed for a new generation of helpful robots. 🤖 Based on Gemini 2.0, they bring capabilities such as better reasoning, interactivity, dexterity and generalization into the physical world. 🧵
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Meet Gemini Robotics: our latest AI models designed for a new generation of helpful robots. 🤖 Based on Gemini 2.0, they bring capabilities such as better reasoning, interactivity, dexterity and generalization into the physical world. 🧵

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Robots are the bottleneck in scaling robotics, and learning from human video promises to solve it. But how can chaotic human data ever measure up to sanitized, lab-made teleoperation data? Introducing Do as I Do: establishing a much needed correspondence between human videos and dexterous robot data. Some fun insights below: 🧵
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Robots are the bottleneck in scaling robotics, and learning from human video promises to solve it. But how can chaotic human data ever measure up to sanitized, lab-made teleoperation data? Introducing Do as I Do: establishing a much needed correspondence between human videos and dexterous robot data. Some fun insights below: 🧵

Mahi Shafiullah 🏠🤖

91,113 görüntüleme • 22 gün önce

Sanctuary AI new touch sensor technology is now integrated into our general purpose robots. Read the full announcement to learn how this benefits general purpose robot performance and our Physical AI: #AI #Humanoid #GeneralPurposeRobot #SanctuaryAI
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Sanctuary AI new touch sensor technology is now integrated into our general purpose robots. Read the full announcement to learn how this benefits general purpose robot performance and our Physical AI: #AI #Humanoid #GeneralPurposeRobot #SanctuaryAI

Sanctuary AI

49,641 görüntüleme • 1 yıl önce

Robotics is entering the mainstream! 👀 Let's accept this fact. Consumptionism – stonks. Possibilities (HW + SW) – stonks. Demographics - not stonks. Modern robots are often designed to interact with our legacy world, whether it's a household, a factory, or a shipyard. That means they often need to work with existing machines, tools, and spaces. In short: retrofitting. Improving old machines with new technologies without major interference in their operation. Modern way of integrating things. You don't have to change the entire environment to deploy a robot. The robot will adapt, just as human would when freshly hired. The promise is to have an army of robots to help with the world designed for us. I also believe that general purpose robots, are not a direct competition for single purpose machines (like a highly efficient specialized packaging machine, for example). It's like adding a robot to this carriage. Specialized machine could be a car ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Robotics is entering the mainstream! 👀 Let's accept this fact. Consumptionism – stonks. Possibilities (HW + SW) – stonks. Demographics - not stonks. Modern robots are often designed to interact with our legacy world, whether it's a household, a factory, or a shipyard. That means they often need to work with existing machines, tools, and spaces. In short: retrofitting. Improving old machines with new technologies without major interference in their operation. Modern way of integrating things. You don't have to change the entire environment to deploy a robot. The robot will adapt, just as human would when freshly hired. The promise is to have an army of robots to help with the world designed for us. I also believe that general purpose robots, are not a direct competition for single purpose machines (like a highly efficient specialized packaging machine, for example). It's like adding a robot to this carriage. Specialized machine could be a car ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

14,396 görüntüleme • 5 ay önce

today we are releasing Le Lamp. an open source expressive robot. expressive interaction design is the missing layer in robotics. the future isn’t just functional robots - it’s robots that feel natural to use and are designed from the ground up for expressive human-robot interaction. we will continue iterating Le Lamp to make it more expressive and useful in the upcoming weeks. github: discord: order the Le Lamp kit:
2:04

today we are releasing Le Lamp. an open source expressive robot. expressive interaction design is the missing layer in robotics. the future isn’t just functional robots - it’s robots that feel natural to use and are designed from the ground up for expressive human-robot interaction. we will continue iterating Le Lamp to make it more expressive and useful in the upcoming weeks. github: discord: order the Le Lamp kit:

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Are you ready for the Bad Mad Robot invasion? 🤖 We tested the closed beta with many legends. BADMAD ROBOTS is pushing the challenge! It was my pleasure to be there. You can see how you can get many rewards such as Closed Beta, Ambassador Program and ROBOTS BOX in the article below 👇

TSUBASA 🥷🎮

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Our robots now run autonomously >80% of the time. We still have human teleoperators in-the-loop, who take control when the robot gets stuck or something goes wrong. As autonomy improves, we'll grow our robot-to-operator efficiency until we have one person overseeing 10+ robots. Useful, AI-powered robots are here. And it's only going to get better.
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Our robots now run autonomously >80% of the time. We still have human teleoperators in-the-loop, who take control when the robot gets stuck or something goes wrong. As autonomy improves, we'll grow our robot-to-operator efficiency until we have one person overseeing 10+ robots. Useful, AI-powered robots are here. And it's only going to get better.

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More humanoid robots from China! Beijing-based industrial robot maker ROKAE Robotics has unveiled two humanoid robot models.
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More humanoid robots from China! Beijing-based industrial robot maker ROKAE Robotics has unveiled two humanoid robot models.

The Humanoid Hub

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Vision-language models can control robots, but what if the prompt is too complex for the robot to follow directly? We developed a way to get robots to “think through” complex instructions, feedback, and interjections. We call it the Hierarchical Interactive Robot (Hi Robot).
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Vision-language models can control robots, but what if the prompt is too complex for the robot to follow directly? We developed a way to get robots to “think through” complex instructions, feedback, and interjections. We call it the Hierarchical Interactive Robot (Hi Robot).

Physical Intelligence

116,845 görüntüleme • 1 yıl önce

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 →
0:47

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 →

Lukas Ziegler

49,920 görüntüleme • 6 ay önce

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.
1:01

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.

CyberRobo

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Excited to announce that we have raised $120M in our Series A to advance the frontier of general-purpose high-performance robots. 🤖 The new funding will accelerate progress towards our mission of bringing foundation-model powered robots to everyone, everywhere. Read more 👇
3:00

Excited to announce that we have raised $120M in our Series A to advance the frontier of general-purpose high-performance robots. 🤖 The new funding will accelerate progress towards our mission of bringing foundation-model powered robots to everyone, everywhere. Read more 👇

Dyna Robotics

815,853 görüntüleme • 9 ay önce

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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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!

Jason Ma

98,090 görüntüleme • 1 yıl önce