Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

A robot mower on steroids! 💉 This mowing robot can handle any bush. Literally. It's well-suited for work on PV farms, which are usually in remote areas and typically don't have permanent staff. I don't even need to mention the origin country. Chinese are cooking. This type of use...

lukas_m_ziegler's profile picture

Lukas Ziegler

58,283 subscribers

48,557 görüntüleme • 1 ay önce •via X (Twitter)

Sağlık & İyilikBilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

High school students built an autonomous ball-collecting robot! 🎾 A group of high school students built a robot that picks up balls and shoots them into a bin while moving without stopping, with impressive speed and accuracy. It combines mechanical design, sensors, and software making constant adjustments in real time while the robot is driving. When teenagers can build systems this sophisticated, the talent pipeline for the robotics industry is accelerating! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:12

High school students built an autonomous ball-collecting robot! 🎾 A group of high school students built a robot that picks up balls and shoots them into a bin while moving without stopping, with impressive speed and accuracy. It combines mechanical design, sensors, and software making constant adjustments in real time while the robot is driving. When teenagers can build systems this sophisticated, the talent pipeline for the robotics industry is accelerating! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

1,192,588 görüntüleme • 5 ay önce

When robots take the night shift shopping spree! 🛍️ Robots navigate through dm-drogerie markt Deutschland stores at night to create a digital replica of the store's layout, known as a "digital twin." Developed Ubica Robotics GmbH, these autonomous robots scan shelves to provide real-time information about item positions, pricing, stock gaps, and store layouts. 🏪 This data serves multiple purposes, such as improving staff routes, enhancing inventory management, and informing the creation of planograms for more efficient store layouts. It combines digital twin with robotics and it's really cool use case. What are your thoughts? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:10

When robots take the night shift shopping spree! 🛍️ Robots navigate through dm-drogerie markt Deutschland stores at night to create a digital replica of the store's layout, known as a "digital twin." Developed Ubica Robotics GmbH, these autonomous robots scan shelves to provide real-time information about item positions, pricing, stock gaps, and store layouts. 🏪 This data serves multiple purposes, such as improving staff routes, enhancing inventory management, and informing the creation of planograms for more efficient store layouts. It combines digital twin with robotics and it's really cool use case. What are your thoughts? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

65,006 görüntüleme • 6 ay önce

PETER DOOCY: “President Trump said this week that he can take Cuba, how soon can that happen?” MARCO RUBIO: “Well, I mean, Cuba's a disaster, and it's because of their communist government it doesn't work. So I don't have any news for you on that today, other than that's been going on for 67 years. They're a disaster. It's the worst it's ever been.” || Peter Doocy
0:19

PETER DOOCY: “President Trump said this week that he can take Cuba, how soon can that happen?” MARCO RUBIO: “Well, I mean, Cuba's a disaster, and it's because of their communist government it doesn't work. So I don't have any news for you on that today, other than that's been going on for 67 years. They're a disaster. It's the worst it's ever been.” || Peter Doocy

Fox News

356,749 görüntüleme • 5 ay önce

AI-Powered weed control! 🌱 The LaserWeeder machine from Carbon Robotics has captured the imagination of American farmers. This technology uses AI system to identify weeds in crops and zap them with precision thermal bursts from lasers. Bit of facts about the cool robot: → The machine can remove weeds from over 40 crops and can also be used for thinning crops. → It can operate in virtually all weather conditions, with millimeter accuracy at all times, and can work through the night thanks to its built-in lighting system. → High-resolution cameras and computer machine learning enable it to distinguish weeds from crops in milliseconds. → The LaserWeeder can replace about 70 workers on farms where manual weeding is used, and can weed up to four acres per hour. What other applications can we expect to see in the future in farming applications? Btw. I believe farming robots are A HUGE THING in robotics! 🔥 ~~ ♻ Join the weekly robotics newsletter, and never miss any news →
0:10

AI-Powered weed control! 🌱 The LaserWeeder machine from Carbon Robotics has captured the imagination of American farmers. This technology uses AI system to identify weeds in crops and zap them with precision thermal bursts from lasers. Bit of facts about the cool robot: → The machine can remove weeds from over 40 crops and can also be used for thinning crops. → It can operate in virtually all weather conditions, with millimeter accuracy at all times, and can work through the night thanks to its built-in lighting system. → High-resolution cameras and computer machine learning enable it to distinguish weeds from crops in milliseconds. → The LaserWeeder can replace about 70 workers on farms where manual weeding is used, and can weed up to four acres per hour. What other applications can we expect to see in the future in farming applications? Btw. I believe farming robots are A HUGE THING in robotics! 🔥 ~~ ♻ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

54,776 görüntüleme • 8 ay önce

It's the little things that make me excited about the future. Many people are (rightfully) worried that AI and robotics will take their jobs. Yes, it's about money they need to live on, and solutions are needed. At the same time, it's often work that's strenuous and tedious. So we can be glad when robots take these tasks off our hands. Furthermore, robots don't need breaks, vacations, or sleep. They can be scaled quickly and are efficient. Globalization, and humanity as a whole, can therefore benefit massively from this increase in efficiency.
0:15

It's the little things that make me excited about the future. Many people are (rightfully) worried that AI and robotics will take their jobs. Yes, it's about money they need to live on, and solutions are needed. At the same time, it's often work that's strenuous and tedious. So we can be glad when robots take these tasks off our hands. Furthermore, robots don't need breaks, vacations, or sleep. They can be scaled quickly and are efficient. Globalization, and humanity as a whole, can therefore benefit massively from this increase in efficiency.

Chubby♨️

25,528 görüntüleme • 4 ay önce

Multi-robot learning is getting a serious boost! 📚 Researchers have extended Isaac Lab to train heterogeneous multi-agent robotic policies at scale. The new framework supports high-resolution physics, GPU-accelerated simulation, and both homogeneous and heterogeneous agents working together on coordination tasks. They benchmarked different approaches (MAPPO: Multi-Agent Proximal Policy Optimization and HAPPO: Heterogeneous Agent PPO) across six challenging scenarios and showed that large-scale multi-robot training is not only feasible, but efficient. It’s an important step for real-world robotic collaboration, where teams of robots need to coordinate, split tasks, adapt roles, and interact dynamically, not just operate as identical clones. The code is open-source, and it pushes Isaac Lab closer to what robotics actually needs: scalable, physics-driven environments where many different robots can learn to work together. Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:16

Multi-robot learning is getting a serious boost! 📚 Researchers have extended Isaac Lab to train heterogeneous multi-agent robotic policies at scale. The new framework supports high-resolution physics, GPU-accelerated simulation, and both homogeneous and heterogeneous agents working together on coordination tasks. They benchmarked different approaches (MAPPO: Multi-Agent Proximal Policy Optimization and HAPPO: Heterogeneous Agent PPO) across six challenging scenarios and showed that large-scale multi-robot training is not only feasible, but efficient. It’s an important step for real-world robotic collaboration, where teams of robots need to coordinate, split tasks, adapt roles, and interact dynamically, not just operate as identical clones. The code is open-source, and it pushes Isaac Lab closer to what robotics actually needs: scalable, physics-driven environments where many different robots can learn to work together. Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

38,997 görüntüleme • 8 ay önce

Schulz: I don't begrudge any American that's like, 'Why the fuck are we doing this when I can't even afford to buy a house?' How do we all of a sudden have hundreds of billions of dollars for this war that I don't even understand how it benefits us, and I don't feel any existential threat from this country?
0:19

Schulz: I don't begrudge any American that's like, 'Why the fuck are we doing this when I can't even afford to buy a house?' How do we all of a sudden have hundreds of billions of dollars for this war that I don't even understand how it benefits us, and I don't feel any existential threat from this country?

FactPost

29,818 görüntüleme • 5 ay önce

I'll never forget how many people didn't understand what I was doing with this proof of concept, and cried that it was impossible for a robot quadruped to handle recoil, and stay on target. Look where we are today. Ghost Robotics vision 60 on the range!
0:12

I'll never forget how many people didn't understand what I was doing with this proof of concept, and cried that it was impossible for a robot quadruped to handle recoil, and stay on target. Look where we are today. Ghost Robotics vision 60 on the range!

KF

1,162,075 görüntüleme • 1 ay önce

Imagine you go to a store and you want to buy candy. The shopkeeper knows you're a real kid because they can see you standing right there. Now imagine you send a robot to buy candy for you. The shopkeeper looks at the robot and thinks: wait, who sent this? Is this robot allowed to buy candy? What if someone else's robot pretends to be yours and steals your candy money? That's basically what's happening with AI right now. Companies like Visa let people buy things all over the world. But now, smart computer robots (AI agents) want to buy things too. Shop around, compare prices, even pay for stuff. Visa looked at this and said: nope, not yet. Because they have no way to check if the robot is real, who it belongs to, or if it's allowed to spend that money. The problem is that all the rules we have for checking identity - showing your ID, scanning your face, typing your password - only work for humans. Robots can't do any of that. Worse, bad robots can actually copy and fake human identities really well. So Evin McMullen evin, Billions Network co-founder and CEO, says we need a new kind of ID system. One where you can prove something is true without showing all your private stuff. Like proving you're tall enough for a ride without telling anyone your exact height. That's called zero-knowledge proof. And for the robots specifically, we need something called KYA - Know Your Agent. It's like giving every robot its own ID card that says: this is who I am, this is what I'm allowed to do, and this is the human responsible for me. Until we build that, the robot economy can't really get going. Here is Evin’s Thought Leader article at Silicon Valleys Journal
0:12

Imagine you go to a store and you want to buy candy. The shopkeeper knows you're a real kid because they can see you standing right there. Now imagine you send a robot to buy candy for you. The shopkeeper looks at the robot and thinks: wait, who sent this? Is this robot allowed to buy candy? What if someone else's robot pretends to be yours and steals your candy money? That's basically what's happening with AI right now. Companies like Visa let people buy things all over the world. But now, smart computer robots (AI agents) want to buy things too. Shop around, compare prices, even pay for stuff. Visa looked at this and said: nope, not yet. Because they have no way to check if the robot is real, who it belongs to, or if it's allowed to spend that money. The problem is that all the rules we have for checking identity - showing your ID, scanning your face, typing your password - only work for humans. Robots can't do any of that. Worse, bad robots can actually copy and fake human identities really well. So Evin McMullen evin, Billions Network co-founder and CEO, says we need a new kind of ID system. One where you can prove something is true without showing all your private stuff. Like proving you're tall enough for a ride without telling anyone your exact height. That's called zero-knowledge proof. And for the robots specifically, we need something called KYA - Know Your Agent. It's like giving every robot its own ID card that says: this is who I am, this is what I'm allowed to do, and this is the human responsible for me. Until we build that, the robot economy can't really get going. Here is Evin’s Thought Leader article at Silicon Valleys Journal

Billions Network

21,775 görüntüleme • 6 ay önce

"There is absolutely no pressure on Rohit!" — Interim Coach Sitanshu Kotak on retirement rumors🚨😱🗣️ "See, I don't think a big player like Rohit Sharma can have any sort of pressure. He's too good a player to feel that. Yes, he didn't get runs in the opening two matches, but I don't think that makes any difference. But today, it also looked like he'd probably get a good inning out. But that's okay." "See, honestly, I have played a lot of cricket, and I have seen a lot of cricket. On a day, there are a lot of batters I have seen, they don't get that momentum that they are looking for, and that can happen. You might see a completely different innings from Rohit Sharma at Lord's. So, I wouldn't use the word he was struggling."
0:13

"There is absolutely no pressure on Rohit!" — Interim Coach Sitanshu Kotak on retirement rumors🚨😱🗣️ "See, I don't think a big player like Rohit Sharma can have any sort of pressure. He's too good a player to feel that. Yes, he didn't get runs in the opening two matches, but I don't think that makes any difference. But today, it also looked like he'd probably get a good inning out. But that's okay." "See, honestly, I have played a lot of cricket, and I have seen a lot of cricket. On a day, there are a lot of batters I have seen, they don't get that momentum that they are looking for, and that can happen. You might see a completely different innings from Rohit Sharma at Lord's. So, I wouldn't use the word he was struggling."

sportified

25,224 görüntüleme • 1 ay önce

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?
0:16

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

Robert Scoble

33,804 görüntüleme • 1 yıl önce

Autonomous excavator building a wall! 🪨 This will blow your mind! 🤯 Researchers from ETH Zürich have used an autonomous excavator to build a 65-meter-long, six-meter-high dry-stone wall. The autonomous system, called "Heap," precisely firstly scanned and then placed stones, forming a wall. Through computer-aided design and control, the robot was able to handle and position over 900 individual elements, some weighing over 1000 kilograms. What about autonomous excavators? Perhaps tele-op is also an option that could let people work remotely even as an excavator operator! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:17

Autonomous excavator building a wall! 🪨 This will blow your mind! 🤯 Researchers from ETH Zürich have used an autonomous excavator to build a 65-meter-long, six-meter-high dry-stone wall. The autonomous system, called "Heap," precisely firstly scanned and then placed stones, forming a wall. Through computer-aided design and control, the robot was able to handle and position over 900 individual elements, some weighing over 1000 kilograms. What about autonomous excavators? Perhaps tele-op is also an option that could let people work remotely even as an excavator operator! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

57,809 görüntüleme • 7 ay önce

Some random thoughts reading through the new RobbyAnt VLA paper: - 20,000 hours of data across 9 robots!! - damn, Chinese companies are going to trivially outscale the American ones on real robot data - It's really cool they train on depth; it means they can handle transparent objects really well for example - You can never tell how good these models are without trying them, since everyone trains on different robots, but from the results they show it does seem to clean up - cross embodiment scaling laws are really cool - if you have lots of robots do you need human video??
0:13

Some random thoughts reading through the new RobbyAnt VLA paper: - 20,000 hours of data across 9 robots!! - damn, Chinese companies are going to trivially outscale the American ones on real robot data - It's really cool they train on depth; it means they can handle transparent objects really well for example - You can never tell how good these models are without trying them, since everyone trains on different robots, but from the results they show it does seem to clean up - cross embodiment scaling laws are really cool - if you have lots of robots do you need human video??

Chris Paxton

19,921 görüntüleme • 6 ay önce

A monowheel security robot from Estonia! 🇪🇪 Rollo Robotics just raised €3.7M pre-seed led by FoodLabs and PROTOTYPE to bring the world's first stable autonomous monowheel robot to market. Founded by Arno Kütt (the mind behind Cleveron) and Sander Sebastian Agur, this Estonian startup has cracked what they call the "stability paradox" of the monowheel. Instead of clunky multi-wheeled platforms, Rollo uses high-frequency sensor fusion and proprietary balance control to create a slim, agile robot that navigates tight urban spaces and industrial corridors where traditional robots simply can't fit. The application? Autonomous security patrolling. With hybrid threats to physical infrastructure growing, the demand for scalable robotic security is massive. The funding will go toward two things: hardening the tech for extreme weather and high-traffic environments, and scaling production to meet demand from early pilot programs. 💰 P.S. Monowheels have been sci-fi for decades. Excited to see if Rollo can make them practical at scale. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:17

A monowheel security robot from Estonia! 🇪🇪 Rollo Robotics just raised €3.7M pre-seed led by FoodLabs and PROTOTYPE to bring the world's first stable autonomous monowheel robot to market. Founded by Arno Kütt (the mind behind Cleveron) and Sander Sebastian Agur, this Estonian startup has cracked what they call the "stability paradox" of the monowheel. Instead of clunky multi-wheeled platforms, Rollo uses high-frequency sensor fusion and proprietary balance control to create a slim, agile robot that navigates tight urban spaces and industrial corridors where traditional robots simply can't fit. The application? Autonomous security patrolling. With hybrid threats to physical infrastructure growing, the demand for scalable robotic security is massive. The funding will go toward two things: hardening the tech for extreme weather and high-traffic environments, and scaling production to meet demand from early pilot programs. 💰 P.S. Monowheels have been sci-fi for decades. Excited to see if Rollo can make them practical at scale. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

18,863 görüntüleme • 7 ay önce

Qualia has been selected for the Google DeepMind Robotics Program. We train embodied models that put a robot on a real manual task and make it work, on the floor, not in a demo. Foundation models and reasoning are where robotics is heading, and doing that work alongside DeepMind, who are pushing this frontier, is exactly where we want to be. If you are a company looking to see how a new generation of robots can help your manual tasks, contact us at hello@qualiastudios.dev More soon
0:16

Qualia has been selected for the Google DeepMind Robotics Program. We train embodied models that put a robot on a real manual task and make it work, on the floor, not in a demo. Foundation models and reasoning are where robotics is heading, and doing that work alongside DeepMind, who are pushing this frontier, is exactly where we want to be. If you are a company looking to see how a new generation of robots can help your manual tasks, contact us at [email protected] More soon

Qualia

87,750 görüntüleme • 2 ay önce

🚨 BREAKING: NVIDIA just announced the Isaac GR00T Reference Humanoid Robot. The first fully open humanoid robot reference design built on Jetson Thor, and it's going straight to the world's top research institutions. This is Jensen Huang's bet on open physical AI infrastructure. The hardware stack is serious: → Unitree H2 Plus chassis, 6 feet tall, 150 pounds, 31 degrees of freedom → Sharpa Wave tactile five-finger hands, 22 degrees of freedom, bringing total to 75 across the full body → NVIDIA Jetson AGX Thor onboard compute, 2,070 FP4 teraflops of AI performance, 128GB unified memory → Multi-view sensing, stereo head camera, wrist cameras, IMU Alongside this announcement, Unitree also introduced the H2 Plus as a standalone product, a frontier humanoid combining Unitree's own body, Sharpa's five-finger hands and NVIDIA Robotics Jetson Thor compute into one fully integrated research platform. The full Isaac GR00T software stack ships with it, teleoperation for data capture, open foundation models, Isaac Sim for training, Isaac Lab for evaluation, and accelerated ROS middleware for deployment. The complete loop from data to real-world robot in one unified platform. ETH Zürich, Stanford Robotics Center, UC San Diego and Ai2 are already on board as launch research partners. NVIDIA Robotics did to AI what it's now doing to robotics, build the platform, open the ecosystem, let the world build on top of it. Whoever owns the infrastructure layer wins. NVIDIA knows this better than anyone. 👀 Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:14

🚨 BREAKING: NVIDIA just announced the Isaac GR00T Reference Humanoid Robot. The first fully open humanoid robot reference design built on Jetson Thor, and it's going straight to the world's top research institutions. This is Jensen Huang's bet on open physical AI infrastructure. The hardware stack is serious: → Unitree H2 Plus chassis, 6 feet tall, 150 pounds, 31 degrees of freedom → Sharpa Wave tactile five-finger hands, 22 degrees of freedom, bringing total to 75 across the full body → NVIDIA Jetson AGX Thor onboard compute, 2,070 FP4 teraflops of AI performance, 128GB unified memory → Multi-view sensing, stereo head camera, wrist cameras, IMU Alongside this announcement, Unitree also introduced the H2 Plus as a standalone product, a frontier humanoid combining Unitree's own body, Sharpa's five-finger hands and NVIDIA Robotics Jetson Thor compute into one fully integrated research platform. The full Isaac GR00T software stack ships with it, teleoperation for data capture, open foundation models, Isaac Sim for training, Isaac Lab for evaluation, and accelerated ROS middleware for deployment. The complete loop from data to real-world robot in one unified platform. ETH Zürich, Stanford Robotics Center, UC San Diego and Ai2 are already on board as launch research partners. NVIDIA Robotics did to AI what it's now doing to robotics, build the platform, open the ecosystem, let the world build on top of it. Whoever owns the infrastructure layer wins. NVIDIA knows this better than anyone. 👀 Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

16,062 görüntüleme • 2 ay önce

High-speed labeling is harder than it looks! 🍼 I remember when I was programming robots myself and the struggle of making an application really repeatable. It was hard. Super hard. That's why seeing a machine working as smooth as here, it's incredible! 🤯 Applying shrink sleeves without wrinkles or misalignment becomes a real bottleneck at scale. Krones machine solves that by combining fast application with precise servo-controlled cutting. It can handle up to 50,000 containers per hour, keep labels perfectly aligned, and switch between bottle shapes with minimal downtime. For manufacturers, that reliability matters. Magic!!! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:17

High-speed labeling is harder than it looks! 🍼 I remember when I was programming robots myself and the struggle of making an application really repeatable. It was hard. Super hard. That's why seeing a machine working as smooth as here, it's incredible! 🤯 Applying shrink sleeves without wrinkles or misalignment becomes a real bottleneck at scale. Krones machine solves that by combining fast application with precise servo-controlled cutting. It can handle up to 50,000 containers per hour, keep labels perfectly aligned, and switch between bottle shapes with minimal downtime. For manufacturers, that reliability matters. Magic!!! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

121,821 görüntüleme • 8 ay önce

i'll never understand why people are so harsh on Easy. this song will always remain solid lyrically and narratively, it's a duet between two lovers sung to comfort one another and neutralise any tension that had built up between the two. in a musical show this song makes sense!
0:18

i'll never understand why people are so harsh on Easy. this song will always remain solid lyrically and narratively, it's a duet between two lovers sung to comfort one another and neutralise any tension that had built up between the two. in a musical show this song makes sense!

Lutecifer

80,900 görüntüleme • 3 ay önce

Genesis AI just unveiled Eno. It's humanoid robot that challenges everything the industry assumed about what robots should look like. Forbes just called it 'the iPhone moment for humanoid robots'. No head. No face. No exposed motors or cables. 22 degrees of freedom per hand with different finger lengths (like actual human hands). Back-drivable for safety. Onboard cameras and tactile sensors. In demos: bundling wires with tape (genuinely hard, tape is sticky and unpredictable), performing lab automation with millimeter precision on unmodified equipment. Optional chest screen shows the robot's reasoning before it acts, a visual window into its mind to build trust. Powered by Genesis AI GENE foundation model. Payload 3-5kg per arm, 4-6 hours battery. Industrial deployments late 2026, homes much later. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:15

Genesis AI just unveiled Eno. It's humanoid robot that challenges everything the industry assumed about what robots should look like. Forbes just called it 'the iPhone moment for humanoid robots'. No head. No face. No exposed motors or cables. 22 degrees of freedom per hand with different finger lengths (like actual human hands). Back-drivable for safety. Onboard cameras and tactile sensors. In demos: bundling wires with tape (genuinely hard, tape is sticky and unpredictable), performing lab automation with millimeter precision on unmodified equipment. Optional chest screen shows the robot's reasoning before it acts, a visual window into its mind to build trust. Powered by Genesis AI GENE foundation model. Payload 3-5kg per arm, 4-6 hours battery. Industrial deployments late 2026, homes much later. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

29,453 görüntüleme • 2 ay önce