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Precision robots for electronics and lab automation! 🧪 Mecademic makes robots that do two things simultaneously, manipulate material and move it. They're not competing with the big legacy robot manufacturers. They're smaller, more nimble, and obsessively precise. Their niche? Electronics manufacturing and lab automation. Why? Repeatability and precision. 5...

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Lukas Ziegler

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15,918 просмотров • 2 дней назад •via X (Twitter)

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Linear actuators playing football! ⚽️ You can keep scrolling... The "Magic Field" is an impressive display of ball-handling skill, showcasing what fixed automation can achieve. There are no robots at all. Instead of robots, over 300 linear actuators precisely control the ball’s movement on the field, demonstrating incredible accuracy. The setup even includes an advanced kicking mechanism, similar to a SCARA robot, that uses two linear actuators and one rotary actuator to kick the ball into the net. 🥅 This fixed automation shows how powerful and precise automation can be without needing mobile robots on the field. When starting an automation project, it's interesting to consider if fixed automation like this or flexible robots might be the best fit. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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This is real time. You can see how stable the motion is. A system placing droplets between 1 nanoliter and 1 microliter inside a 96 well plate with almost perfect repeatability. No shake. No drift. No overshoot. The robot keeps the tip on track even at this scale where tiny vibrations normally ruin the result. Why this matters: •In wet lab automation, volume accuracy is everything •Nano scale tasks fail fast if the robot is even slightly off •Reliable deposition unlocks fast screening and repeatable experiments •You can run full workflows without manual checking or correction This is the kind of precision that turns lab robots from “helpful tool” into a full automation pipeline. Credit: M2-Automation GmbH —- Weekly robotics and AI insights. Subscribe free:
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This is real time. You can see how stable the motion is. A system placing droplets between 1 nanoliter and 1 microliter inside a 96 well plate with almost perfect repeatability. No shake. No drift. No overshoot. The robot keeps the tip on track even at this scale where tiny vibrations normally ruin the result. Why this matters: •In wet lab automation, volume accuracy is everything •Nano scale tasks fail fast if the robot is even slightly off •Reliable deposition unlocks fast screening and repeatable experiments •You can run full workflows without manual checking or correction This is the kind of precision that turns lab robots from “helpful tool” into a full automation pipeline. Credit: M2-Automation GmbH —- Weekly robotics and AI insights. Subscribe free:

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A pentagon robot! 🖐🏽 Compared to typical SCARA models, it delivers higher speed, improved stability, better space efficiency, and can operate smoothly in tight areas, even through singularity positions. These robots are a good fit for handling complex tasks in challenging environments where conventional robots often fall short. Have you ever seen a robot like this? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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A pentagon robot! 🖐🏽 Compared to typical SCARA models, it delivers higher speed, improved stability, better space efficiency, and can operate smoothly in tight areas, even through singularity positions. These robots are a good fit for handling complex tasks in challenging environments where conventional robots often fall short. Have you ever seen a robot like this? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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Welcome to the pico world! 🔬 Micro-dispensing at the picoliter scale is incredible when you compare it to everyday numbers: a single raindrop is about 50 microliters, roughly 50 million times larger than a picoliter. Being able to place droplets this small without touching the surface is key for biotech, diagnostics, and micro-electronics, where tiny volumes matter. And at this scale, two basics become critical: → Accuracy = how close you are to the real value. → Precision = how repeatable each droplet is. I could watch it all day long! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Teaching by showing! 👨🏼‍🏫 Nordbo Robotics is making robotics accessible to all skill levels. Mimic is an intuitive tool allowing users to record and automate tasks without programming experience. By integrating Mimic with robotic systems, companies save time as operators can directly record movements, eliminating the need for extensive robot programming. They various industrial tasks like sanding, polishing, painting, and grinding, offering automation solutions for tasks traditionally requiring skilled human labor. 🧽 As you can see Universal Robots arm recreated the demonstrated path very accurately. Users can program Mimic-enabled robots with flexible options, including point-to-point movements, path generation, or demonstration. P.S. My first deburring :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Teaching by showing! 👨🏼‍🏫 Nordbo Robotics is making robotics accessible to all skill levels. Mimic is an intuitive tool allowing users to record and automate tasks without programming experience. By integrating Mimic with robotic systems, companies save time as operators can directly record movements, eliminating the need for extensive robot programming. They various industrial tasks like sanding, polishing, painting, and grinding, offering automation solutions for tasks traditionally requiring skilled human labor. 🧽 As you can see Universal Robots arm recreated the demonstrated path very accurately. Users can program Mimic-enabled robots with flexible options, including point-to-point movements, path generation, or demonstration. P.S. My first deburring :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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This robot is playing Tetris! 🧊 AGILOX dropped something exciting at LogiMAT. One of the most requested robot use cases finally automated: Manual truck loading. What I'm really impressed of is the high precision positioning of pallets directly next to the truck or container wall. It's 2026 and I love that fact that AMR companies are not just moving goods from A to B anymore, but they innovate and look for more value-adding tasks across logistics sites and manufacturing plants! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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This robot is playing Tetris! 🧊 AGILOX dropped something exciting at LogiMAT. One of the most requested robot use cases finally automated: Manual truck loading. What I'm really impressed of is the high precision positioning of pallets directly next to the truck or container wall. It's 2026 and I love that fact that AMR companies are not just moving goods from A to B anymore, but they innovate and look for more value-adding tasks across logistics sites and manufacturing plants! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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11,998 просмотров • 3 месяцев назад

The world's smallest industrial robot arm Built for sub-micrometer precision. Here’s a behind-the-scenes look at how to control what is likely the world’s smallest and most precise industrial robot arm using custom software. The stack includes online and offline programming with simulation, an analytical kinematics solver, a singularity-aware trajectory planner, and an API layer for integration with external systems. It’s designed for applications where positioning error is measured in micrometers, not millimeters. Microelectronics, semiconductor handling, photonics alignment, medical device assembly, lab automation. When parts are tiny and tolerances are unforgiving, the control architecture matters as much as the mechanics. This is from Oleksander Stepanenko (Oleksandr Stepanenko), if you don’t follow him and his YouTube channel… no one can help you. ——- Weekly robotics and AI insights. Subscribe free:
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The world's smallest industrial robot arm Built for sub-micrometer precision. Here’s a behind-the-scenes look at how to control what is likely the world’s smallest and most precise industrial robot arm using custom software. The stack includes online and offline programming with simulation, an analytical kinematics solver, a singularity-aware trajectory planner, and an API layer for integration with external systems. It’s designed for applications where positioning error is measured in micrometers, not millimeters. Microelectronics, semiconductor handling, photonics alignment, medical device assembly, lab automation. When parts are tiny and tolerances are unforgiving, the control architecture matters as much as the mechanics. This is from Oleksander Stepanenko (Oleksandr Stepanenko), if you don’t follow him and his YouTube channel… no one can help you. ——- Weekly robotics and AI insights. Subscribe free:

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Welcome to the pico world! 🔬 Micro-dispensing at the picoliter scale is incredible when you compare it to everyday numbers: a single raindrop is about 50 microliters, roughly 50 million times larger than a picoliter. Being able to place droplets this small without touching the surface is key for biotech, diagnostics, and micro-electronics, where tiny volumes matter. And at this scale, two basics become critical: → Accuracy = how close you are to the real value. → Precision = how repeatable each droplet is. I could watch it all day long! 🤯 ~~ ♻ Join the weekly robotics newsletter, and never miss any news →

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Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

20,898 просмотров • 5 месяцев назад

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 просмотров • 5 месяцев назад

The robot is learning several novel tasks instantly, after just ONE demonstration each... Instant Policy makes it possible: no extra training, no weight updates, just pure in-context learning. It just got accepted at ICLR 2025, and it’s changing how robots learn. With just a single demo, a robot can pick up a new task and start performing it right away. Why this is a big deal: ✅ Learns tasks instantly with just one or a few demonstrations ✅ Improves over time as more demonstrations are given ✅ Uses simulation-based training with “pseudo-demonstrations” for scalability ✅ Can transfer skills across different robots and even follow language-defined tasks It brings in-context learning to robotics, opening up new possibilities for flexible, real-world automation. You can try it yourself: code and weights are available at • • • • Thank you to Edward Johns, Director of the Robot Learning Lab at Imperial College for sharing their work! 🙏
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The robot is learning several novel tasks instantly, after just ONE demonstration each... Instant Policy makes it possible: no extra training, no weight updates, just pure in-context learning. It just got accepted at ICLR 2025, and it’s changing how robots learn. With just a single demo, a robot can pick up a new task and start performing it right away. Why this is a big deal: ✅ Learns tasks instantly with just one or a few demonstrations ✅ Improves over time as more demonstrations are given ✅ Uses simulation-based training with “pseudo-demonstrations” for scalability ✅ Can transfer skills across different robots and even follow language-defined tasks It brings in-context learning to robotics, opening up new possibilities for flexible, real-world automation. You can try it yourself: code and weights are available at • • • • Thank you to Edward Johns, Director of the Robot Learning Lab at Imperial College for sharing their work! 🙏

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46,285 просмотров • 1 год назад

Robots moving railcars! 🚃 Did you know that KUKA is also in the mobile robots business? Yes, you heard that right. And not just any robots. Robots that carry up to 56 tons! 🏋🏼 The railcar production process is highly complex, particularly when moving massive cars sideways within a plant. This challenge has been addressed at the Siemens facility in Germany using the OmniMove system from KUKA. The system allows for precise positioning, enabling the units to lift, move, and lower railcars with remarkable accuracy. With Mecanum wheels, the OmniMove units can move seamlessly in any direction, making the process incredibly efficient. Together, these units are capable of lifting up to 56 tons, streamlining heavy railcar production. This one is clearly tele-operated, but just looking at it makes me feel safer when I see a human in the loop. What a great use case for mobile robots! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Robots moving railcars! 🚃 Did you know that KUKA is also in the mobile robots business? Yes, you heard that right. And not just any robots. Robots that carry up to 56 tons! 🏋🏼 The railcar production process is highly complex, particularly when moving massive cars sideways within a plant. This challenge has been addressed at the Siemens facility in Germany using the OmniMove system from KUKA. The system allows for precise positioning, enabling the units to lift, move, and lower railcars with remarkable accuracy. With Mecanum wheels, the OmniMove units can move seamlessly in any direction, making the process incredibly efficient. Together, these units are capable of lifting up to 56 tons, streamlining heavy railcar production. This one is clearly tele-operated, but just looking at it makes me feel safer when I see a human in the loop. What a great use case for mobile robots! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

19,148 просмотров • 15 дней назад

Teaching robots to work smoothly with humans! 👀 Soon enough, a robot will be standing in the garage holding a flashlight for your dad, and doing a better job of it than you ever did. 🔦 Carnegie Mellon University and The University of Texas at Arlington researchers introduced HALO, a new method for robots to collaborate better with humans. When robots work with humans, they face unpredictable behavior. Every person moves differently, makes different decisions, and reacts differently to the robot. Traditional learning approaches struggle because the robot and human are fundamentally different, they think and move in completely different ways. This mismatch causes the robot's learning to become unstable, like trying to balance on a wobbly chair. Mentioned research solves this by mathematically guaranteeing the robot's learning stays stable. Pushing objects together in sync, transporting items through tight spaces, and handling super-long objects that require coordination. Real humanoid-robot experiments show HALO handles tricky collaborative situations much better. How it works? It basically has 3 layers. Vision layer understands what needs to happen by looking at the scene. Coordination layer figures out how the robot and human should work together tactically. Control layer executes the movements with fast, stable whole-body control. 📜 Paper website: Congrats Ding Zhao + all co-authors! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Teaching robots to work smoothly with humans! 👀 Soon enough, a robot will be standing in the garage holding a flashlight for your dad, and doing a better job of it than you ever did. 🔦 Carnegie Mellon University and The University of Texas at Arlington researchers introduced HALO, a new method for robots to collaborate better with humans. When robots work with humans, they face unpredictable behavior. Every person moves differently, makes different decisions, and reacts differently to the robot. Traditional learning approaches struggle because the robot and human are fundamentally different, they think and move in completely different ways. This mismatch causes the robot's learning to become unstable, like trying to balance on a wobbly chair. Mentioned research solves this by mathematically guaranteeing the robot's learning stays stable. Pushing objects together in sync, transporting items through tight spaces, and handling super-long objects that require coordination. Real humanoid-robot experiments show HALO handles tricky collaborative situations much better. How it works? It basically has 3 layers. Vision layer understands what needs to happen by looking at the scene. Coordination layer figures out how the robot and human should work together tactically. Control layer executes the movements with fast, stable whole-body control. 📜 Paper website: Congrats Ding Zhao + all co-authors! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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A new member joins the European humanoid robot team. German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world. It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities. Soon, Europe will enter its second wave of automation driven by intelligent technology.
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A new member joins the European humanoid robot team. German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world. It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities. Soon, Europe will enter its second wave of automation driven by intelligent technology.

CyberRobo

72,567 просмотров • 8 месяцев назад

🚨 BREAKING: Swiss startup mimic just raised €13.8M to teach robots the one thing they still struggle with human-like dexterity. 🇨🇭 The Zurich-based company is developing physical AI systems that allow robots to learn directly from human demonstrations. Skilled operators wear custom motion-tracking gear on real factory floors, generating data that trains robots to grasp, move, and adapt with human precision. Founded in 2024 as a spin-off from ETH Zurich, mimic pairs AI-driven dexterous robotic hands with standard industrial robot arms, skipping the humanoid form factor in favor of practical, deployable automation. The oversubscribed seed round was led by Elaia with participation from Speedinvest, Founderful, 1st Kind, 10x Founders, 2100 Ventures, and the Sequoia Scout Fund, bringing total funding to over $20M. Their technology is already being piloted with Fortune 500 manufacturers and logistics operators, where robots are learning complex manipulation tasks once reserved for humans. Why it matters: Europe is stepping up in the AI robotics race. By making dexterity scalable, mimic bridges the gap between lab breakthroughs and real factory deployment, where automation still meets its hardest challenges. As CEO Stefan Weirich put it: “We make dexterity deployable at scale, closing the gap between what AI can do in the lab and what factories actually need.” Let's go robotics in Europe! 🔥
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🚨 BREAKING: Swiss startup mimic just raised €13.8M to teach robots the one thing they still struggle with human-like dexterity. 🇨🇭 The Zurich-based company is developing physical AI systems that allow robots to learn directly from human demonstrations. Skilled operators wear custom motion-tracking gear on real factory floors, generating data that trains robots to grasp, move, and adapt with human precision. Founded in 2024 as a spin-off from ETH Zurich, mimic pairs AI-driven dexterous robotic hands with standard industrial robot arms, skipping the humanoid form factor in favor of practical, deployable automation. The oversubscribed seed round was led by Elaia with participation from Speedinvest, Founderful, 1st Kind, 10x Founders, 2100 Ventures, and the Sequoia Scout Fund, bringing total funding to over $20M. Their technology is already being piloted with Fortune 500 manufacturers and logistics operators, where robots are learning complex manipulation tasks once reserved for humans. Why it matters: Europe is stepping up in the AI robotics race. By making dexterity scalable, mimic bridges the gap between lab breakthroughs and real factory deployment, where automation still meets its hardest challenges. As CEO Stefan Weirich put it: “We make dexterity deployable at scale, closing the gap between what AI can do in the lab and what factories actually need.” Let's go robotics in Europe! 🔥

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77,152 просмотров • 8 месяцев назад

Robots from Humanoid passed real factory test at Siemens! 😮‍💨 Humanoid from the UK just completed a successful proof of concept with Siemens, deploying their HMND 01 wheeled humanoid robot in a real working factory. The task was simple but important: pick totes from a storage stack, transport them to a conveyor, and place them at the pickup point for human operators. Repeat until the stack is empty. The robot achieved 60 tote moves per hour, handled two different tote sizes, ran autonomously for more than 30 minutes at a time, stayed operational for over eight hours, and maintained over 90% success rate on pick and place tasks. This matters because it's not a demo video. It's a real deployment in Siemens' Electronics Factory in Erlangen, handling actual production work, measured against real operational metrics. The test ran in two phases. First, Humanoid built a physical twin in-house to test and optimize the system. Then they deployed on-site at Siemens for two weeks, where the robot operated in the real production environment. We can see a wheeled humanoid robot in action! So, now the ultimate question: wheels or legs? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:26

Robots from Humanoid passed real factory test at Siemens! 😮‍💨 Humanoid from the UK just completed a successful proof of concept with Siemens, deploying their HMND 01 wheeled humanoid robot in a real working factory. The task was simple but important: pick totes from a storage stack, transport them to a conveyor, and place them at the pickup point for human operators. Repeat until the stack is empty. The robot achieved 60 tote moves per hour, handled two different tote sizes, ran autonomously for more than 30 minutes at a time, stayed operational for over eight hours, and maintained over 90% success rate on pick and place tasks. This matters because it's not a demo video. It's a real deployment in Siemens' Electronics Factory in Erlangen, handling actual production work, measured against real operational metrics. The test ran in two phases. First, Humanoid built a physical twin in-house to test and optimize the system. Then they deployed on-site at Siemens for two weeks, where the robot operated in the real production environment. We can see a wheeled humanoid robot in action! So, now the ultimate question: wheels or legs? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

21,993 просмотров • 5 месяцев назад

A robot as a 3D printer? 🖨️ Meltio developed a robot that 3D prints in metal. They have unveiled their own line of wire-based 3D printing materials. The new materials range, named Meltio Materials, includes stainless steel, mild steel, titanium, and nickel alloys. 👨🏼‍🏭 What makes this exciting is that Meltio is offering a closed materials platform, providing users with a hassle-free experience by validating the materials and optimizing them for their systems. This move sets Meltio apart from its competitors and paves the way for faster industrial adoption and user-driven innovation. With Meltio Materials, metal 3D printing becomes more accessible, reliable, and efficient for various industries, including aerospace, healthcare, and consumer electronics. 🛩️ Great to see the reliability of proven robots from ABB Robotics. P.S. I could be watching the 3D printing process over and over! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:58

A robot as a 3D printer? 🖨️ Meltio developed a robot that 3D prints in metal. They have unveiled their own line of wire-based 3D printing materials. The new materials range, named Meltio Materials, includes stainless steel, mild steel, titanium, and nickel alloys. 👨🏼‍🏭 What makes this exciting is that Meltio is offering a closed materials platform, providing users with a hassle-free experience by validating the materials and optimizing them for their systems. This move sets Meltio apart from its competitors and paves the way for faster industrial adoption and user-driven innovation. With Meltio Materials, metal 3D printing becomes more accessible, reliable, and efficient for various industries, including aerospace, healthcare, and consumer electronics. 🛩️ Great to see the reliability of proven robots from ABB Robotics. P.S. I could be watching the 3D printing process over and over! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

34,094 просмотров • 6 месяцев назад

Learn the differences between motion profiles! 💨 A real demonstration of engineering skills. In each robotic arm, in each legged robot, you will discover actuators that make the robot move! Let's compare two motion profiles: rectangular and trapezoid. - A rectangular motion profile is like a car with abrupt starts and stops, ideal for situations where speed is crucial. 🚙 - A trapezoid motion profile involves gradual acceleration and deceleration, offering a smoother ride, perfect for scenarios where precision and smoothness are essential, just like handling a pint of beer with care (I love your way of showing the difference! 🍻) P.S. Can you name different applications for these two motion profiles in robotics? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Learn the differences between motion profiles! 💨 A real demonstration of engineering skills. In each robotic arm, in each legged robot, you will discover actuators that make the robot move! Let's compare two motion profiles: rectangular and trapezoid. - A rectangular motion profile is like a car with abrupt starts and stops, ideal for situations where speed is crucial. 🚙 - A trapezoid motion profile involves gradual acceleration and deceleration, offering a smoother ride, perfect for scenarios where precision and smoothness are essential, just like handling a pint of beer with care (I love your way of showing the difference! 🍻) P.S. Can you name different applications for these two motion profiles in robotics? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

112,284 просмотров • 7 месяцев назад

A robot that will bend metal for you! 🤘🏼 This is what optimized robotic press brake operation looks like. A well-tuned program, an additional seventh axis for extended reach, smart gripper design, and a workpiece reversal mechanism to handle parts without human intervention. This combination is invaluable for automated press brake operation. Cycle time is on fire! 🔥 KUKA robots are a solid choice for metal forming. They're built for high-payload, high-precision tasks and have a strong track record in automotive and heavy industry applications where reliability matters the most! :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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A robot that will bend metal for you! 🤘🏼 This is what optimized robotic press brake operation looks like. A well-tuned program, an additional seventh axis for extended reach, smart gripper design, and a workpiece reversal mechanism to handle parts without human intervention. This combination is invaluable for automated press brake operation. Cycle time is on fire! 🔥 KUKA robots are a solid choice for metal forming. They're built for high-payload, high-precision tasks and have a strong track record in automotive and heavy industry applications where reliability matters the most! :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

38,749 просмотров • 5 месяцев назад

Twitter boi, do you want to see a humanoid AI lab from the inside? Well I do ;) Join me to visit Flexion A world-leading lab building the AI brains for humanoids – in Zurich, one of the best hubs for Physical AI. Their goal? Build the Android of robotics. One operating system that works on any humanoid hardware. It is crazy what their robots can do. We pushed a robot on the stairs. It didn't care. They left one in a rainy forest it was never trained on. Chilled and hiked there. And because they let robots train on their own, from zero through reinforcement learning, the robots do odd inhuman things. Eg they stand up from the ground in ways no human ever would. If their humanoid brain works, this will be industry defining. This is why Flexion is one of Europe's Most Ambitious Startups. 🇪🇺🔥 0:00 Intro 0:38 Inside a Lab with 14 Humanoids 2:17 What’s Actually Inside a Humanoid? 4:43 The Robot Navigates on Its Own 6:31 Why Grasping Is So Hard 7:01 Stairs, Pushes, and Balance Tests 7:55 Training 4,000 Robots in Parallel 10:50 Teleoperation vs Reinforcement Learning 14:35 The Case for Humanoids 15:55 Why Europe Could Win Robotics Please like & RT 🙏
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Twitter boi, do you want to see a humanoid AI lab from the inside? Well I do ;) Join me to visit Flexion A world-leading lab building the AI brains for humanoids – in Zurich, one of the best hubs for Physical AI. Their goal? Build the Android of robotics. One operating system that works on any humanoid hardware. It is crazy what their robots can do. We pushed a robot on the stairs. It didn't care. They left one in a rainy forest it was never trained on. Chilled and hiked there. And because they let robots train on their own, from zero through reinforcement learning, the robots do odd inhuman things. Eg they stand up from the ground in ways no human ever would. If their humanoid brain works, this will be industry defining. This is why Flexion is one of Europe's Most Ambitious Startups. 🇪🇺🔥 0:00 Intro 0:38 Inside a Lab with 14 Humanoids 2:17 What’s Actually Inside a Humanoid? 4:43 The Robot Navigates on Its Own 6:31 Why Grasping Is So Hard 7:01 Stairs, Pushes, and Balance Tests 7:55 Training 4,000 Robots in Parallel 10:50 Teleoperation vs Reinforcement Learning 14:35 The Case for Humanoids 15:55 Why Europe Could Win Robotics Please like & RT 🙏

Andreas Klinger 🦾

14,699 просмотров • 4 месяцев назад