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Lukas Ziegler

@lukas_m_ziegler • 57,413 subscribers

robotics evangelist | riding the wave of robotics | angel investing 🕵🏼‍♂️

Shorts

🚨 BREAKING: Walden Robotics has just come out of stealth with $300 million in funding and a $1.1 billion valuation. Another unicorn in the robotics space. 🦄 Just 6 months after incubation. The company was spun out of Toyota's robotics research lab by co-founder Russ Tedrake, a former Toyota Research Institute executive and MIT professor who taught a course on robotic legs. The seed round was co-led by Deviation Capital and Toyota, with participation from: NVIDIA, Boeing, Samsung Ventures, CoreWeave Ventures and AE Ventures. The robot is already working. A pilot is live at a North American Toyota factory where a Walden humanoid is pulling eight-hour shifts alongside human workers, loading and unloading car parts, cleaning machinery, kitting for assembly. A shift. Every day. Walden builds its own hardware, software and AI models, designed to continuously learn and improve in real production environments. Tedrake's words on the opportunity are worth noting: "Everyone recognises the magnitude of the opportunity and the technology feels ready, but success is not assured. You have to think through the business case, the unit economics, and how to marry the best of manufacturing and logistics with disruptive AI technology." Rare honesty in a space full of hype. The race to own that market is accelerating every single week. 🤖 Great story by Bloomberg here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

🚨 BREAKING: Walden Robotics has just come out of stealth with $300 million in funding and a $1.1 billion valuation. Another unicorn in the robotics space. 🦄 Just 6 months after incubation. The company was spun out of Toyota's robotics research lab by co-founder Russ Tedrake, a former Toyota Research Institute executive and MIT professor who taught a course on robotic legs. The seed round was co-led by Deviation Capital and Toyota, with participation from: NVIDIA, Boeing, Samsung Ventures, CoreWeave Ventures and AE Ventures. The robot is already working. A pilot is live at a North American Toyota factory where a Walden humanoid is pulling eight-hour shifts alongside human workers, loading and unloading car parts, cleaning machinery, kitting for assembly. A shift. Every day. Walden builds its own hardware, software and AI models, designed to continuously learn and improve in real production environments. Tedrake's words on the opportunity are worth noting: "Everyone recognises the magnitude of the opportunity and the technology feels ready, but success is not assured. You have to think through the business case, the unit economics, and how to marry the best of manufacturing and logistics with disruptive AI technology." Rare honesty in a space full of hype. The race to own that market is accelerating every single week. 🤖 Great story by Bloomberg here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

71,215 просмотров

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 →

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 →

1,192,205 просмотров

A metal origami! 🪭 This method is called Hyperbolic Metal Forming and is hypnotizing to watch. Instead of shaping metal with slow mechanical force, HMF uses controlled shockwaves to form complex geometries at extreme speed, often without the need for heavy dies or post-processing. The result is stronger, lighter parts with shapes that are almost impossible using traditional stamping. That’s why you see it popping up in aerospace, automotive structures, and defense components. Think of it like metal origami, but driven by high-energy pulses instead of presses. A small reminder that some things in manufacturing come from physics, not just automation. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

A metal origami! 🪭 This method is called Hyperbolic Metal Forming and is hypnotizing to watch. Instead of shaping metal with slow mechanical force, HMF uses controlled shockwaves to form complex geometries at extreme speed, often without the need for heavy dies or post-processing. The result is stronger, lighter parts with shapes that are almost impossible using traditional stamping. That’s why you see it popping up in aerospace, automotive structures, and defense components. Think of it like metal origami, but driven by high-energy pulses instead of presses. A small reminder that some things in manufacturing come from physics, not just automation. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

567,473 просмотров

Sub-40ms full self-driving on a $100 drone! 🚁 A demonstration showing a complete full-self-driving pipeline running in under 40 milliseconds on a $100 drone. The prompt: "Find the bike and land." No pre-mapping. Running real-time on commodity hardware. For context, human reaction time is around 200-250ms. This drone is processing sensor data, understanding natural language commands, identifying objects, planning motion, and executing control, all in 40ms. This is what happens when foundation models meet efficient inference. The models get smaller and faster while maintaining capability. The hardware gets cheaper while getting more powerful. The intersection makes previously impossible applications suddenly viable. A few years ago, this required thousands of dollars in compute, pre-mapped environments, and cloud connectivity. Now it runs locally on hardware that costs less than a nice dinner. Awesome stuff Chester & ! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Sub-40ms full self-driving on a $100 drone! 🚁 A demonstration showing a complete full-self-driving pipeline running in under 40 milliseconds on a $100 drone. The prompt: "Find the bike and land." No pre-mapping. Running real-time on commodity hardware. For context, human reaction time is around 200-250ms. This drone is processing sensor data, understanding natural language commands, identifying objects, planning motion, and executing control, all in 40ms. This is what happens when foundation models meet efficient inference. The models get smaller and faster while maintaining capability. The hardware gets cheaper while getting more powerful. The intersection makes previously impossible applications suddenly viable. A few years ago, this required thousands of dollars in compute, pre-mapped environments, and cloud connectivity. Now it runs locally on hardware that costs less than a nice dinner. Awesome stuff Chester & ! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

310,622 просмотров

'should we get an uber?' 'naah, it's walking distance' we all have that one friend who says.. btw. cool stuff from Amazon RIVR showing how deliveries of the future might look like

'should we get an uber?' 'naah, it's walking distance' we all have that one friend who says.. btw. cool stuff from Amazon RIVR showing how deliveries of the future might look like

428,035 просмотров

Food automation made accessible! 🥔 During the Automate Show, Schmalz presented their configurable gripper that is a great choice for food automation. The original is FDA-approved, food-grade, handles raw meat, completely washable. Perfect for any food application. But the price tag is too expensive for a lot of applications. The new aluminum gripper is configurable and cost-effective. Not for meat, but great for produce picking and bin picking applications. Same modular approach, lower cost barrier. Opens up food automation to operations that couldn't justify the premium version. Working with ABB Robotics delta robots, the system handles the speed and precision food processors need, plus the flexibility to swap grippers for different applications. Be prepared to be flooded with Automate content! 🤠🇺🇸 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Food automation made accessible! 🥔 During the Automate Show, Schmalz presented their configurable gripper that is a great choice for food automation. The original is FDA-approved, food-grade, handles raw meat, completely washable. Perfect for any food application. But the price tag is too expensive for a lot of applications. The new aluminum gripper is configurable and cost-effective. Not for meat, but great for produce picking and bin picking applications. Same modular approach, lower cost barrier. Opens up food automation to operations that couldn't justify the premium version. Working with ABB Robotics delta robots, the system handles the speed and precision food processors need, plus the flexibility to swap grippers for different applications. Be prepared to be flooded with Automate content! 🤠🇺🇸 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

52,566 просмотров

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 case makes a lot of sense for robots. Someone mentioned that it's AI generated so, here's the OEM page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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 case makes a lot of sense for robots. Someone mentioned that it's AI generated so, here's the OEM page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

48,383 просмотров

That’s insane! 🤯 A student built an acoustic levitation divide with an Arduino board. He built it using an Arduino Nano, a motor driver, and 60 ultrasonic transducers that can levitate low-density objects in place indefinitely. The transducers send out 40 kHz waves that create standing waves. The interference pattern produces nulls that trap objects. High-pressure areas form below and above the object, locking it in the low-pressure area between them. The transducers produce two sound waves moving in opposing directions at the same frequency and amplitude. The effect is that the low-pressure areas don't appear to move, like whipping a rope from both ends and having the wave meet in the middle. Sound waves are oscillating at high and low pressures. By creating a sound wave that doesn't move forward (a standing wave), you create areas of constant pressure. 🔉 Objects get trapped in the null points between high-pressure zones. The craziest part is that this was made more than 7 years ago! DIY levitation 😮‍💨 Reddit link: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

That’s insane! 🤯 A student built an acoustic levitation divide with an Arduino board. He built it using an Arduino Nano, a motor driver, and 60 ultrasonic transducers that can levitate low-density objects in place indefinitely. The transducers send out 40 kHz waves that create standing waves. The interference pattern produces nulls that trap objects. High-pressure areas form below and above the object, locking it in the low-pressure area between them. The transducers produce two sound waves moving in opposing directions at the same frequency and amplitude. The effect is that the low-pressure areas don't appear to move, like whipping a rope from both ends and having the wave meet in the middle. Sound waves are oscillating at high and low pressures. By creating a sound wave that doesn't move forward (a standing wave), you create areas of constant pressure. 🔉 Objects get trapped in the null points between high-pressure zones. The craziest part is that this was made more than 7 years ago! DIY levitation 😮‍💨 Reddit link: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

99,086 просмотров

Spiders as robotic grippers? 🕷️ Researchers made a stunning discovery at Rice University. Dead spiders are being used as mechanical grippers. Yes, they use dead spiders as grippers... But how? 👀 It turns out that spiders use hydraulics to move their legs. They extend their legs by contracting their prosoma chamber, which sends fluid into their bodies. Scientists selected wolf spiders that can lift 130% of their weight. Using such a solution could be useful for pick-and-place processes in electronics assembly, for instance. Their discovery might start the field of necrobotics. Given my arachnophobia, I'm not sure how I'd react to such a grip. 🕸️ ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Spiders as robotic grippers? 🕷️ Researchers made a stunning discovery at Rice University. Dead spiders are being used as mechanical grippers. Yes, they use dead spiders as grippers... But how? 👀 It turns out that spiders use hydraulics to move their legs. They extend their legs by contracting their prosoma chamber, which sends fluid into their bodies. Scientists selected wolf spiders that can lift 130% of their weight. Using such a solution could be useful for pick-and-place processes in electronics assembly, for instance. Their discovery might start the field of necrobotics. Given my arachnophobia, I'm not sure how I'd react to such a grip. 🕸️ ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

301,242 просмотров

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 →

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 →

29,127 просмотров

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?

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?

157,526 просмотров

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 →

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 →

121,821 просмотров

Multi-axis 3D printing with curved layers! 🖨️ Researchers from the The University of Manchester introduced a neural network-based computational pipeline as a representation-agnostic slicer for multi-axis 3D printing. Traditional 3D printing works like stacking pancakes, flat layers on top of each other. 🥞 This often requires temporary support structures that get thrown away after printing, wastes material, and creates weaker parts. Multi-axis 3D printing can print along curved paths that follow the object's natural shape. This eliminates support structures and makes stronger parts. But figuring out these curved paths is mathematically complex, you need to avoid collisions, respect what the printer can physically do, and optimize for strength. The neural network solves this automatically. It learns to create a "field" around the object, then extracts curved printing paths from this field. Because the entire process is differentiable (translation for non-math specialists, meaning you can optimize it end-to-end), the AI can directly optimize for manufacturing goals like "no support structures needed" and "make it as strong as possible." Here's the project: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Multi-axis 3D printing with curved layers! 🖨️ Researchers from the The University of Manchester introduced a neural network-based computational pipeline as a representation-agnostic slicer for multi-axis 3D printing. Traditional 3D printing works like stacking pancakes, flat layers on top of each other. 🥞 This often requires temporary support structures that get thrown away after printing, wastes material, and creates weaker parts. Multi-axis 3D printing can print along curved paths that follow the object's natural shape. This eliminates support structures and makes stronger parts. But figuring out these curved paths is mathematically complex, you need to avoid collisions, respect what the printer can physically do, and optimize for strength. The neural network solves this automatically. It learns to create a "field" around the object, then extracts curved printing paths from this field. Because the entire process is differentiable (translation for non-math specialists, meaning you can optimize it end-to-end), the AI can directly optimize for manufacturing goals like "no support structures needed" and "make it as strong as possible." Here's the project: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

57,048 просмотров

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 →

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 →

64,840 просмотров

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 scanned and 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!

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 scanned and 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!

112,372 просмотров

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 →

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 →

57,809 просмотров

🚨 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 →

🚨 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 →

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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 →

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 →

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🧵 We’ve mapped more of Mars than our own oceans. But that’s starting to change. A new generation of underwater robots is exploring, inspecting, and even repairing the deep. [Save this thread for later 📌]

🧵 We’ve mapped more of Mars than our own oceans. But that’s starting to change. A new generation of underwater robots is exploring, inspecting, and even repairing the deep. [Save this thread for later 📌]

12,379 просмотров

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 →

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 →

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Modular robots that repair themselves by... stealing parts! 👀 A team at Columbia University built robots made of Truss Links, stick-shaped modules with magnetic connectors at each end. Connect a few and you get a structure that can expand, contract, roll, and reshape itself. If a link breaks or comes loose, the robot grabs a spare module nearby and rebuilds itself. No human intervention needed. A tetrahedron-shaped robot grabbed a spare link like a walking stick. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Modular robots that repair themselves by... stealing parts! 👀 A team at Columbia University built robots made of Truss Links, stick-shaped modules with magnetic connectors at each end. Connect a few and you get a structure that can expand, contract, roll, and reshape itself. If a link breaks or comes loose, the robot grabs a spare module nearby and rebuilds itself. No human intervention needed. A tetrahedron-shaped robot grabbed a spare link like a walking stick. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

1,053,610 просмотров • 6 дней назад

A 40-year-old patent has finally been brought to life. That's the Y-zipper. A 3D-printed three-sided fastener that transitions any object from flexible to rigid and back again. The robotics application is the one that caught my attention. A quadruped robot that adjusts its leg stiffness depending on terrain, switching between rigid and flexible in real time without additional motors or complex mechanical systems. But this goes way beyond robotics. A wrist cast that loosens during the day and stiffens at night. A tent that pops into shape in 90 seconds instead of six minutes. The idea sat in a patent filing for four decades. It took 3D printing to finally make it real. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
3:58
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A 40-year-old patent has finally been brought to life. That's the Y-zipper. A 3D-printed three-sided fastener that transitions any object from flexible to rigid and back again. The robotics application is the one that caught my attention. A quadruped robot that adjusts its leg stiffness depending on terrain, switching between rigid and flexible in real time without additional motors or complex mechanical systems. But this goes way beyond robotics. A wrist cast that loosens during the day and stiffens at night. A tent that pops into shape in 90 seconds instead of six minutes. The idea sat in a patent filing for four decades. It took 3D printing to finally make it real. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

1,803,076 просмотров • 2 месяцев назад

Your phone can build voxel world now! 👾 This is an open-source tool that converts phone video into 3D point clouds. You can run Depth Anything 3 locally. Basically just local GPU inference. The interesting part is how it handles messy input. Video windows overlap, scale gets converted to real meters, drift gets corrected after inference. The system stitches everything together even when footage is noisy. Objects far away might fail strict confidence filters but still show up as recognizable buildings. That's huge for small robots because perception becomes cheap and stays local. Obviously it wouldn't be a phone for robots, but it shows the potential of edge/local perception processing. A robot can understand its environment without offloading to the cloud. Real-world video has artifacts and occlusions. The system doesn't need perfect input to reconstruct scene structure. It works with what's there. For robotics, this means small platforms can build 3D maps autonomously using hardware they already have. Here's the repo: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:33
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Your phone can build voxel world now! 👾 This is an open-source tool that converts phone video into 3D point clouds. You can run Depth Anything 3 locally. Basically just local GPU inference. The interesting part is how it handles messy input. Video windows overlap, scale gets converted to real meters, drift gets corrected after inference. The system stitches everything together even when footage is noisy. Objects far away might fail strict confidence filters but still show up as recognizable buildings. That's huge for small robots because perception becomes cheap and stays local. Obviously it wouldn't be a phone for robots, but it shows the potential of edge/local perception processing. A robot can understand its environment without offloading to the cloud. Real-world video has artifacts and occlusions. The system doesn't need perfect input to reconstruct scene structure. It works with what's there. For robotics, this means small platforms can build 3D maps autonomously using hardware they already have. Here's the repo: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

49,656 просмотров • 7 дней назад

A humanoidal welder! 👨🏼‍🏭 Persona AI deployed their humanoid to a real welding facility in Houston and executed an actual weld. All of that in a hot-work industrial environment with arc flash, smoke, and uneven flooring. The robot squats down, executes the weld with a steady arc, stands back up. Functional welding requires multi-joint precision, spatial awareness, and real-time path correction. The robot had to hold a lit torch, maintain arc stability, and lay down a valid weld path. The motion is choppy. They're honest about that. But they proved the robot can handle the full sequence that actual industrial work demands. Get low, do precision work, stand up, move to the next spot. That's the rhythm of real welding jobs. Teleoperation is their training method. VR headset interface captures expert demonstrations. Those become the data to train neural networks toward eventual autonomy. This is what deploying into real facilities means. That's a nice one gents Nicolaus Radford! Here's more detailed blog: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:29
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A humanoidal welder! 👨🏼‍🏭 Persona AI deployed their humanoid to a real welding facility in Houston and executed an actual weld. All of that in a hot-work industrial environment with arc flash, smoke, and uneven flooring. The robot squats down, executes the weld with a steady arc, stands back up. Functional welding requires multi-joint precision, spatial awareness, and real-time path correction. The robot had to hold a lit torch, maintain arc stability, and lay down a valid weld path. The motion is choppy. They're honest about that. But they proved the robot can handle the full sequence that actual industrial work demands. Get low, do precision work, stand up, move to the next spot. That's the rhythm of real welding jobs. Teleoperation is their training method. VR headset interface captures expert demonstrations. Those become the data to train neural networks toward eventual autonomy. This is what deploying into real facilities means. That's a nice one gents Nicolaus Radford! Here's more detailed blog: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

60,139 просмотров • 9 дней назад

Autonomous tractor from Netherlands! 🇳🇱 Despite all the narrative, we are still building awesome companies in hardware space in Europe. Recently, I've posted about a Chinese autonomous tractors company. So today I wanted to show something that was created in the middle of Europe. This is a fully autonomous tractor from Dutch company AgXeed, designed to work on fields without any human supervision. It's powered by a diesel engine that drives a generator, which then powers electric motors driving the tracks. The fuel tank allows for 24 hours of continuous operation. (nice!) The rear hitch has an 8-ton lift capacity, the front has 3 tons. It's equipped with electric PTO, hydraulic pump, and all the connections you'd find on a traditional tractor, meaning you can attach standard farm implements. (nice! x2) Safety and navigation are handled by a LiDAR sensor on top, ultrasonic and radar sensors, and contact-sensitive bumpers. RTK GNSS receiver provides positioning accuracy down to 2.5 cm. Love seeing that so many companies are trying to make farmer's life easier! What are the others companies building in agri-tech? I want to meet them! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:59
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Autonomous tractor from Netherlands! 🇳🇱 Despite all the narrative, we are still building awesome companies in hardware space in Europe. Recently, I've posted about a Chinese autonomous tractors company. So today I wanted to show something that was created in the middle of Europe. This is a fully autonomous tractor from Dutch company AgXeed, designed to work on fields without any human supervision. It's powered by a diesel engine that drives a generator, which then powers electric motors driving the tracks. The fuel tank allows for 24 hours of continuous operation. (nice!) The rear hitch has an 8-ton lift capacity, the front has 3 tons. It's equipped with electric PTO, hydraulic pump, and all the connections you'd find on a traditional tractor, meaning you can attach standard farm implements. (nice! x2) Safety and navigation are handled by a LiDAR sensor on top, ultrasonic and radar sensors, and contact-sensitive bumpers. RTK GNSS receiver provides positioning accuracy down to 2.5 cm. Love seeing that so many companies are trying to make farmer's life easier! What are the others companies building in agri-tech? I want to meet them! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

170,470 просмотров • 29 дней назад

Engineering excellence through destruction! 💥 Dyson's testing philosophy is to break it until it fails, then rebuild it better. Vacuum batteries go through 1,200 charge/discharge cycles, the Supersonic hair dryer cable gets wrapped and unwrapped 7,800 times, Corrale straightener plates open and close 400,000 times, and purifiers run 24/7 until they fail. By testing to failure, Dyson discovers the exact limits of materials, mechanisms, and electronics before the product ever reaches a customer. Dyson tests until things break, studies why they broke, then redesigns around those failure modes. It's the same principle behind Tesla's rapid iteration on Starship (blow them up until you understand what fails). The difference between "it works" and "it lasts" is understanding failure modes. This is what separates consumer products that last 2 years from ones that last 10. The engineering discipline to destroy your own work, learn from it, and build the next version smarter. P.S. Would love to see more robotics companies adopt this level of durability testing. Most demos show success. Few show the 400,000 cycles of wear that prove it actually works. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:48
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Engineering excellence through destruction! 💥 Dyson's testing philosophy is to break it until it fails, then rebuild it better. Vacuum batteries go through 1,200 charge/discharge cycles, the Supersonic hair dryer cable gets wrapped and unwrapped 7,800 times, Corrale straightener plates open and close 400,000 times, and purifiers run 24/7 until they fail. By testing to failure, Dyson discovers the exact limits of materials, mechanisms, and electronics before the product ever reaches a customer. Dyson tests until things break, studies why they broke, then redesigns around those failure modes. It's the same principle behind Tesla's rapid iteration on Starship (blow them up until you understand what fails). The difference between "it works" and "it lasts" is understanding failure modes. This is what separates consumer products that last 2 years from ones that last 10. The engineering discipline to destroy your own work, learn from it, and build the next version smarter. P.S. Would love to see more robotics companies adopt this level of durability testing. Most demos show success. Few show the 400,000 cycles of wear that prove it actually works. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

111,529 просмотров • 20 дней назад

A drone or a submarine? 🫧 A student just built a drone that flies through the air and swims underwater — and it actually works. As part of his Bachelor’s project, Andrei Copaci created a 3D-printed, hybrid drone with variable pitch propellers, meaning the blades shift mid-flight to adapt between air and water. Just a laptop, a printer, and a smart idea. The drone is fully custom-coded and transitions seamlessly between flying and swimming. We're entering a new era, where curious students can prototype what once took massive funding and R&D efforts.
0:30
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A drone or a submarine? 🫧 A student just built a drone that flies through the air and swims underwater — and it actually works. As part of his Bachelor’s project, Andrei Copaci created a 3D-printed, hybrid drone with variable pitch propellers, meaning the blades shift mid-flight to adapt between air and water. Just a laptop, a printer, and a smart idea. The drone is fully custom-coded and transitions seamlessly between flying and swimming. We're entering a new era, where curious students can prototype what once took massive funding and R&D efforts.

Lukas Ziegler

1,957,826 просмотров • 1 год назад

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 microns. That's 5/100 of a human hair width. When you command the robot to point X, it goes to point X every single time with almost zero offset. That’s really important for electronics because tolerances are tight. Components are small. A few microns of error compounds into failure. Lab automation needs the same thing, exact positioning for liquid handling, sample processing, reagent dispensing. It was awesome to see their booth at Automate Show in Chicago. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:42
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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 microns. That's 5/100 of a human hair width. When you command the robot to point X, it goes to point X every single time with almost zero offset. That’s really important for electronics because tolerances are tight. Components are small. A few microns of error compounds into failure. Lab automation needs the same thing, exact positioning for liquid handling, sample processing, reagent dispensing. It was awesome to see their booth at Automate Show in Chicago. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

15,918 просмотров • 3 дней назад

Unloading trucks with robots! 📦 Bastian Solutions has developed a mobile robot system that automates high-volume, floor-level unloading of trailers. Let's have a closer look at how it actually works! The robot seamlessly drives itself in and out of trailers and docks without any fixed infrastructure. This system picks up cases via an extendable conveyor, lifts them using a retractable mast, and accurately places them inside the trailer using a dedicated gripper. In the video you can see the reversed process, unloading of a truck. 🚛 It's guided by LiDAR-based navigation and an omnidirectional base, enabling fast, precise, and infrastructure-free operation. Integrates smoothly with existing systems like conveyors, scanners, sorters, and depalletizers. Every time I see a robot loading and unloading a truck, I'm like: we are getting there :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:23
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Unloading trucks with robots! 📦 Bastian Solutions has developed a mobile robot system that automates high-volume, floor-level unloading of trailers. Let's have a closer look at how it actually works! The robot seamlessly drives itself in and out of trailers and docks without any fixed infrastructure. This system picks up cases via an extendable conveyor, lifts them using a retractable mast, and accurately places them inside the trailer using a dedicated gripper. In the video you can see the reversed process, unloading of a truck. 🚛 It's guided by LiDAR-based navigation and an omnidirectional base, enabling fast, precise, and infrastructure-free operation. Integrates smoothly with existing systems like conveyors, scanners, sorters, and depalletizers. Every time I see a robot loading and unloading a truck, I'm like: we are getting there :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

64,540 просмотров • 14 дней назад

A lot of hype around giving robots touch. That's the OG tactile sensing. FORCE. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:35
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A lot of hype around giving robots touch. That's the OG tactile sensing. FORCE. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

216,800 просмотров • 1 месяц назад

Magnetic levitation for surgical robots! 🧲 A research team working on minimally invasive surgery just introduced a remote magnetic levitation to move things inside our bodies. Their main goal is to control guidewires and catheters inside the body using magnetic fields. But levitation is unstable and extreme, it forces them to solve fundamental control problems they can't avoid. They have to handle strong magnetic field nonlinearities, develop real-time invertible models, and create control methods that work on any eMNS (electroMagnetic Navigation System) and any object. The real challenge is the position and orientation feedback. You can control a magnet outside the body, but once a catheter or drug-delivery robot is inside a patient, you can't see it. There's no vision, but just magnetic fields and current measurements. That's huge news coming out of ETH Zurich! Here's the paper: Mentioned all authors on Li, but coulnd't find them here! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:20
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Magnetic levitation for surgical robots! 🧲 A research team working on minimally invasive surgery just introduced a remote magnetic levitation to move things inside our bodies. Their main goal is to control guidewires and catheters inside the body using magnetic fields. But levitation is unstable and extreme, it forces them to solve fundamental control problems they can't avoid. They have to handle strong magnetic field nonlinearities, develop real-time invertible models, and create control methods that work on any eMNS (electroMagnetic Navigation System) and any object. The real challenge is the position and orientation feedback. You can control a magnet outside the body, but once a catheter or drug-delivery robot is inside a patient, you can't see it. There's no vision, but just magnetic fields and current measurements. That's huge news coming out of ETH Zurich! Here's the paper: Mentioned all authors on Li, but coulnd't find them here! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

120,803 просмотров • 1 месяц назад

Spiderman's stuntman is a robot! 🕸️ The Walt Disney Company Imagineers designed an advanced robotics figure that flies 25 meters in the air making its own real-time decisions as it tucks, somersaults, slows down, and climbs. 🤹🏼‍♀️ The result is Spider-Man in Avengers Campus, flying above with gravity-defying feats never before seen in a Disney park. That's incredible to see how robotics is changing different verticals! That's pure magic to me! 🔮 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:53
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Spiderman's stuntman is a robot! 🕸️ The Walt Disney Company Imagineers designed an advanced robotics figure that flies 25 meters in the air making its own real-time decisions as it tucks, somersaults, slows down, and climbs. 🤹🏼‍♀️ The result is Spider-Man in Avengers Campus, flying above with gravity-defying feats never before seen in a Disney park. That's incredible to see how robotics is changing different verticals! That's pure magic to me! 🔮 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

799,680 просмотров • 7 месяцев назад

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
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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 →

Lukas Ziegler

773,456 просмотров • 7 месяцев назад

Open-source magnetic tactile sensor for $5! 🧲 Researchers introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:57
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Open-source magnetic tactile sensor for $5! 🧲 Researchers introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

288,737 просмотров • 2 месяцев назад

Humanoid robots that can barely walk after 10 years of development, and grab a cup after 7th attempt. Meanwhile: specialized robots that have been dominating their specific task since 2008. That's one of the worst tasks to do! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:20
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Humanoid robots that can barely walk after 10 years of development, and grab a cup after 7th attempt. Meanwhile: specialized robots that have been dominating their specific task since 2008. That's one of the worst tasks to do! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

51,403 просмотров • 15 дней назад

This drone becomes a flying manipulator! 🥏 Researchers at the The University of Tokyo developed this aerial robot. Built with four pairs of ducted fans linked by actuated joints, Dragon can reshape itself mid-flight. This allows it to grasp objects and perform tasks typically reserved for ground-based manipulators. Each segment has dual rotors, and its navigation stack calculates the most efficient shape for each object. Total payload? More than 3 kilograms. P.S. To increase Dragon's battery life, they consider allowing it to walk on the ground.
0:28
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This drone becomes a flying manipulator! 🥏 Researchers at the The University of Tokyo developed this aerial robot. Built with four pairs of ducted fans linked by actuated joints, Dragon can reshape itself mid-flight. This allows it to grasp objects and perform tasks typically reserved for ground-based manipulators. Each segment has dual rotors, and its navigation stack calculates the most efficient shape for each object. Total payload? More than 3 kilograms. P.S. To increase Dragon's battery life, they consider allowing it to walk on the ground.

Lukas Ziegler

741,199 просмотров • 9 месяцев назад

🧵The quiet revolution in robotics isn't humanoid, or world models.. It's the rise of inspection & maintenance robots, quietly scaling across dirty, dangerous, and distant industrial environments. This sector is projected to hit $8.3B by 2030. Let's break down why it's growing so fast. [Save this thread for later 📌]
0:49
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🧵The quiet revolution in robotics isn't humanoid, or world models.. It's the rise of inspection & maintenance robots, quietly scaling across dirty, dangerous, and distant industrial environments. This sector is projected to hit $8.3B by 2030. Let's break down why it's growing so fast. [Save this thread for later 📌]

Lukas Ziegler

171,961 просмотров • 2 месяцев назад

🧵 Farming robots are no longer experimental. They're deployed, profitable, and reshaping agriculture. In orchards, vineyards, vegetable fields, and beyond, they're tackling labor shortages, precision spraying, and chemical reduction at scale. This is how robotics is quietly becoming the backbone of next-gen agriculture [Save this thread for later 📌]
0:26
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🧵 Farming robots are no longer experimental. They're deployed, profitable, and reshaping agriculture. In orchards, vineyards, vegetable fields, and beyond, they're tackling labor shortages, precision spraying, and chemical reduction at scale. This is how robotics is quietly becoming the backbone of next-gen agriculture [Save this thread for later 📌]

Lukas Ziegler

779,651 просмотров • 10 месяцев назад

3D printing is getting wild! 🧊 A one-piece printed bar counter just dropped: 1.1 meters tall and over 4 meters long, made entirely from PETG with millimeter-level precision. A single continuous organic surface with integrated LED backlighting. A giant monolithic print. Every week we’re seeing 3D printers take on bigger, more complex, more architectural pieces. And this one shows just how far large-format additive manufacturing has come. Cool combination with robotics :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:22
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3D printing is getting wild! 🧊 A one-piece printed bar counter just dropped: 1.1 meters tall and over 4 meters long, made entirely from PETG with millimeter-level precision. A single continuous organic surface with integrated LED backlighting. A giant monolithic print. Every week we’re seeing 3D printers take on bigger, more complex, more architectural pieces. And this one shows just how far large-format additive manufacturing has come. Cool combination with robotics :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

437,889 просмотров • 7 месяцев назад

The future of farming is autonomous and chemical-free! 🌱 cropr deployed a laser weeding robot working autonomously in chicory fields. AI system identifies weeds from crops. A laser heats the growing point in a fraction of a second. Weed stops growing. No herbicides. No chemicals in the soil. This solves a real problem. Weeds steal water, nutrients, and light. Herbicide resistance is growing. Farmers need alternatives that actually work. The robot learns from every pass. Each field deployment generates data. Each mission improves the next one. The technology already transfers across crops, chicory, carrots, onions coming soon. Better yields. Cleaner fields. Zero chemical residue. That's the future of weed management. 🥕 More info here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:36
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The future of farming is autonomous and chemical-free! 🌱 cropr deployed a laser weeding robot working autonomously in chicory fields. AI system identifies weeds from crops. A laser heats the growing point in a fraction of a second. Weed stops growing. No herbicides. No chemicals in the soil. This solves a real problem. Weeds steal water, nutrients, and light. Herbicide resistance is growing. Farmers need alternatives that actually work. The robot learns from every pass. Each field deployment generates data. Each mission improves the next one. The technology already transfers across crops, chicory, carrots, onions coming soon. Better yields. Cleaner fields. Zero chemical residue. That's the future of weed management. 🥕 More info here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

39,443 просмотров • 19 дней назад