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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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16,348 görüntüleme • 1 ay önce •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. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:57

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. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

26,338 görüntüleme • 5 gün önce

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 →
0:57

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 →

Lukas Ziegler

235,841 görüntüleme • 8 ay önce

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:
1:06

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:

Ilir Aliu

287,116 görüntüleme • 9 ay önce

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 →
0:24

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 →

Lukas Ziegler

42,565 görüntüleme • 5 ay önce

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 →
0:33

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 →

Lukas Ziegler

70,912 görüntüleme • 7 ay önce

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 →
0:33

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 →

Lukas Ziegler

68,069 görüntüleme • 8 gün önce

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 →
0:29

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 →

Lukas Ziegler

15,923 görüntüleme • 4 ay önce

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 →
0:28

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 →

Lukas Ziegler

11,998 görüntüleme • 5 ay önce

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:
0:28

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:

Ilir Aliu

60,285 görüntüleme • 6 ay önce

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 →
0:33

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 →

Lukas Ziegler

773,456 görüntüleme • 9 ay önce

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 →
0:56

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 görüntüleme • 7 ay 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 →
0:59

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 • 7 ay önce

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! 🙏
0:50

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! 🙏

Ilir Aliu

46,285 görüntüleme • 1 yıl önce

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 →
0:38

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 görüntüleme • 2 ay önce

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.
1:32

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 görüntüleme • 9 ay önce

Robots are coming for one of agriculture's most delicate jobs. Picking berries! 🍓 This is Fieldwork Robotics' Fieldworker 1 platform, designed to autonomously harvest raspberries at speeds comparable to human workers. That might sound simple, but berry picking is one of the hardest challenges in agricultural robotics. The robot needs to identify ripe fruit, avoid damaging fragile berries, and operate efficiently in a constantly changing environment. Fieldworker 1 uses custom AI systems and spectral analysis to assess ripeness and is designed so that a single operator can supervise multiple robots in the field. Agriculture continues to face labor shortages across many regions, while growers are under pressure to improve productivity and reduce waste. That's creating a strong demand for automation solutions that can work alongside existing operations. Fieldwork is already running trials with Costa Group, one of Australia's largest fruit growers, and joins a growing group of companies proving that robotic harvesting is moving from research projects into commercial deployments. That's a great market to look out for robotic solutions. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:24

Robots are coming for one of agriculture's most delicate jobs. Picking berries! 🍓 This is Fieldwork Robotics' Fieldworker 1 platform, designed to autonomously harvest raspberries at speeds comparable to human workers. That might sound simple, but berry picking is one of the hardest challenges in agricultural robotics. The robot needs to identify ripe fruit, avoid damaging fragile berries, and operate efficiently in a constantly changing environment. Fieldworker 1 uses custom AI systems and spectral analysis to assess ripeness and is designed so that a single operator can supervise multiple robots in the field. Agriculture continues to face labor shortages across many regions, while growers are under pressure to improve productivity and reduce waste. That's creating a strong demand for automation solutions that can work alongside existing operations. Fieldwork is already running trials with Costa Group, one of Australia's largest fruit growers, and joins a growing group of companies proving that robotic harvesting is moving from research projects into commercial deployments. That's a great market to look out for robotic solutions. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

25,483 görüntüleme • 1 ay önce

Robots that climb skyscrapers to clean and inspect them! 🧼 Verobotics has built autonomous robots that clean and scan building exteriors, allowing building owners to proactively maintain and upkeep their buildings faster, cheaper, and smarter. The problem is decades old. The only way to clean or inspect a building's exterior has been to lower a person from a BMU (Building Maintenance Unit) at the top of the building. BMUs are heavy, can be out of service, complicated to operate, and limit cleaning to a couple of times per year. Their robots are lightweight, portable, and need no equipment on the roof. One person can deploy multiple robots to the building's facades and let the robots do the rest. Once they're done, the building owner not only has a clean building but also a digital twin of the building exterior for documenting health and identifying issues before they become risks. Robot spots a crack? Noted! They're equipped with onboard cameras that scan the surface, detect window frames to crawl over, and ensure not a spot is missed. That means a consistent result and thorough inspection every time. Onboard sensors continuously detect motion, location, and the surface beneath and around it. The data feeds to a hub that analyzes the surface in real time, building datasets that become the backbone of a digital twin for predictive maintenance. Love seeing the specialized robots bringing value from day 0! :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:39

Robots that climb skyscrapers to clean and inspect them! 🧼 Verobotics has built autonomous robots that clean and scan building exteriors, allowing building owners to proactively maintain and upkeep their buildings faster, cheaper, and smarter. The problem is decades old. The only way to clean or inspect a building's exterior has been to lower a person from a BMU (Building Maintenance Unit) at the top of the building. BMUs are heavy, can be out of service, complicated to operate, and limit cleaning to a couple of times per year. Their robots are lightweight, portable, and need no equipment on the roof. One person can deploy multiple robots to the building's facades and let the robots do the rest. Once they're done, the building owner not only has a clean building but also a digital twin of the building exterior for documenting health and identifying issues before they become risks. Robot spots a crack? Noted! They're equipped with onboard cameras that scan the surface, detect window frames to crawl over, and ensure not a spot is missed. That means a consistent result and thorough inspection every time. Onboard sensors continuously detect motion, location, and the surface beneath and around it. The data feeds to a hub that analyzes the surface in real time, building datasets that become the backbone of a digital twin for predictive maintenance. Love seeing the specialized robots bringing value from day 0! :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

15,778 görüntüleme • 1 gün önce

JUST IN: Dyna Robotics just published one of the most important research papers in robotics this year. It could fundamentally change how robot foundation models are trained. A scaling law that transfers from human video to robot performance. Dyna-2 is out and it's 🔥 Here's what that means in plain terms. Dyna-2 was pre-trained on ONE MILLION hours of egocentric human video, 170 years of continuous human experience, cooking, folding, assembling, cleaning. And as that human data scaled, robot performance improved. Predictably. Monotonically. Across 39 tasks on two different robot embodiments the model had never seen. → 1,000 hours pre-training → 20% normalised task performance → 10,000 hours → 28% → 100,000 hours → 45% → 1,000,000 hours → 53% Human video exists at effectively unlimited scale. Every cook, every factory worker, every craftsperson wearing a camera is generating training data for future robots. But the finding that stunned even the researchers, world modeling is what makes the transfer work. A model trained to predict future video AND actions massively outperforms one trained on actions alone. Video is the new scaling axis for robotics. One more jaw-dropping data point. 13 minutes of teleoperation data was enough to fine-tune Dyna-2 to open a bottle cap using two five-fingered robot hands. The robots are coming, and they're learning from us directly :D Read more here: Congrats Jason Ma and team! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:35

JUST IN: Dyna Robotics just published one of the most important research papers in robotics this year. It could fundamentally change how robot foundation models are trained. A scaling law that transfers from human video to robot performance. Dyna-2 is out and it's 🔥 Here's what that means in plain terms. Dyna-2 was pre-trained on ONE MILLION hours of egocentric human video, 170 years of continuous human experience, cooking, folding, assembling, cleaning. And as that human data scaled, robot performance improved. Predictably. Monotonically. Across 39 tasks on two different robot embodiments the model had never seen. → 1,000 hours pre-training → 20% normalised task performance → 10,000 hours → 28% → 100,000 hours → 45% → 1,000,000 hours → 53% Human video exists at effectively unlimited scale. Every cook, every factory worker, every craftsperson wearing a camera is generating training data for future robots. But the finding that stunned even the researchers, world modeling is what makes the transfer work. A model trained to predict future video AND actions massively outperforms one trained on actions alone. Video is the new scaling axis for robotics. One more jaw-dropping data point. 13 minutes of teleoperation data was enough to fine-tune Dyna-2 to open a bottle cap using two five-fingered robot hands. The robots are coming, and they're learning from us directly :D Read more here: Congrats Jason Ma and team! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

23,576 görüntüleme • 1 ay önce

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 →
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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 görüntüleme • 7 ay önce