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Lukas Ziegler

@lukas_m_ziegler • 62,486 subscribers

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

Shorts

China’s autonomous tractor goes viral! 🚜 China’s aging rural population and labor shortages are forcing a rethink in agriculture, and the answer may already be working the fields. The Honghu T70 is a fully electric, autonomous tractor developed in China. It’s a production-ready machine already in use across Hebei Province, with nationwide rollout planned. It can autonomously complete the entire farming cycle, ploughing, seeding, spraying, and harvesting, without a driver. It collects real-time data on soil composition, moisture, and crop health, navigating with centimeter-level precision using China’s satellite system. 📡 It’s fully electric, charging via grid or renewables, making it well-suited for rural regions. If deployed at scale, small farms could be managed by a single person with a fleet of robots, helping China reduce dependence on imported Western machinery and opening export markets in Southeast Asia and Africa. With over 20% of the national workforce still in agriculture, automating rural labor could free up millions for cities and industry. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

China’s autonomous tractor goes viral! 🚜 China’s aging rural population and labor shortages are forcing a rethink in agriculture, and the answer may already be working the fields. The Honghu T70 is a fully electric, autonomous tractor developed in China. It’s a production-ready machine already in use across Hebei Province, with nationwide rollout planned. It can autonomously complete the entire farming cycle, ploughing, seeding, spraying, and harvesting, without a driver. It collects real-time data on soil composition, moisture, and crop health, navigating with centimeter-level precision using China’s satellite system. 📡 It’s fully electric, charging via grid or renewables, making it well-suited for rural regions. If deployed at scale, small farms could be managed by a single person with a fleet of robots, helping China reduce dependence on imported Western machinery and opening export markets in Southeast Asia and Africa. With over 20% of the national workforce still in agriculture, automating rural labor could free up millions for cities and industry. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

75,334 views

Nature-inspired gripper! 🦎 A chameleon doesn't grab its prey, but its tongue wraps around it. Festo built a gripper that does the same thing, and the mechanism is more elegant than it looks. The FlexShapeGripper is an elastic silicone cap sitting on a water-filled chamber. It works as a double-acting cylinder, one chamber holds compressed air, the other is permanently filled with water. Vent the air chamber, and the water-filled silicone pulls itself inwards. The cap folds over whatever is underneath and locks around its shape. The grip is form-locking, so the object's own geometry does the work of holding it. → Adapts to any shape, including delicate and irregularly shaped items where rigid jaws fail → Can pick up and deposit several objects in one operation → Pneumatic drive, minimal energy consumption → The silicone cap maps directly onto the chameleon's tongue Always good to see the mimicry developments from Festo! :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Nature-inspired gripper! 🦎 A chameleon doesn't grab its prey, but its tongue wraps around it. Festo built a gripper that does the same thing, and the mechanism is more elegant than it looks. The FlexShapeGripper is an elastic silicone cap sitting on a water-filled chamber. It works as a double-acting cylinder, one chamber holds compressed air, the other is permanently filled with water. Vent the air chamber, and the water-filled silicone pulls itself inwards. The cap folds over whatever is underneath and locks around its shape. The grip is form-locking, so the object's own geometry does the work of holding it. → Adapts to any shape, including delicate and irregularly shaped items where rigid jaws fail → Can pick up and deposit several objects in one operation → Pneumatic drive, minimal energy consumption → The silicone cap maps directly onto the chameleon's tongue Always good to see the mimicry developments from Festo! :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

848,040 views

A metal forming got upgrade! 🪭 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. It's driven by high-energy pulses. A small reminder that some things in manufacturing come from pure physics :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

A metal forming got upgrade! 🪭 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. It's driven by high-energy pulses. A small reminder that some things in manufacturing come from pure physics :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

50,572 views

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 →

1,200,854 views

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 views

Autonomous excavator building a wall! 🪨 This will blow your mind! 🤯 Researchers from ETH Zürich and Robotic Systems Lab 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. Can we call it the Great Wall of Switzerland?! 🇨🇭 Here's the page of the project that was on from 2016 to 2025: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Autonomous excavator building a wall! 🪨 This will blow your mind! 🤯 Researchers from ETH Zürich and Robotic Systems Lab 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. Can we call it the Great Wall of Switzerland?! 🇨🇭 Here's the page of the project that was on from 2016 to 2025: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

57,163 views

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

428,750 views

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 views

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 →

301,306 views

🚨 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 →

76,720 views

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 →

99,501 views

3D printing houses will be (is) a HUGE use case for robots robots building shelters go brrr

3D printing houses will be (is) a HUGE use case for robots robots building shelters go brrr

55,747 views

AI that watches your work! 👀 Codya built AI that watches assembly lines and verifies every step got done right. Engine being assembled, bolt by bolt. The model tracks each one, inserted vs fastened. Standard computer vision would struggle here. It's about occlusion. A worker's hands constantly cover the bolts during assembly. Hand moves in, bolt disappears. Hand moves away, bolt reappears. Without smart tracking, the model forgets which bolt is which every time it's hidden. They solved it with BoT-SORT, a tracking algorithm that keeps object identity through occlusions. When a hand covers a bolt and moves away, the tracker knows it's still the same bolt, same state, same position. SkalskiP looking forward to see more and more industrial use cases with your Roboflow models :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

AI that watches your work! 👀 Codya built AI that watches assembly lines and verifies every step got done right. Engine being assembled, bolt by bolt. The model tracks each one, inserted vs fastened. Standard computer vision would struggle here. It's about occlusion. A worker's hands constantly cover the bolts during assembly. Hand moves in, bolt disappears. Hand moves away, bolt reappears. Without smart tracking, the model forgets which bolt is which every time it's hidden. They solved it with BoT-SORT, a tracking algorithm that keeps object identity through occlusions. When a hand covers a bolt and moves away, the tracker knows it's still the same bolt, same state, same position. SkalskiP looking forward to see more and more industrial use cases with your Roboflow models :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

39,467 views

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 →

52,683 views

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 →

48,652 views

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 views

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 →

57,185 views

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 →

65,006 views

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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 →

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 →

1,056,155 views • 3 months ago

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 →

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 →

1,806,952 views • 5 months ago

About a robot that became a 3D printer! 🖨️ A team of designers in Shanghai developed a 6-axis robotic 3D printer inspired by spiderwebs at Tongji University. The project is about merging design and fabrication processes, drawing from spider threads' biomimetic strength and structure. 🕸️ The printer utilizes a unique spindle-knot extrusion technique, enabling self-supporting structures and greater spatial flexibility than traditional layer-based 3D printing. The device features a robot from KUKA and a robotic end-effector with movable printheads, controlled by an Arduino-based system with precise temperature and extrusion controls. Despite being a work in progress, the project shows the potential of combining robotics and 3D printing. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

About a robot that became a 3D printer! 🖨️ A team of designers in Shanghai developed a 6-axis robotic 3D printer inspired by spiderwebs at Tongji University. The project is about merging design and fabrication processes, drawing from spider threads' biomimetic strength and structure. 🕸️ The printer utilizes a unique spindle-knot extrusion technique, enabling self-supporting structures and greater spatial flexibility than traditional layer-based 3D printing. The device features a robot from KUKA and a robotic end-effector with movable printheads, controlled by an Arduino-based system with precise temperature and extrusion controls. Despite being a work in progress, the project shows the potential of combining robotics and 3D printing. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

75,256 views • 7 days ago

That's how parts get inspected! 🪡 The pace is ridiculous. Imagine people still doing this instead of machines. Renishaw’s system is one of the biggest shifts in coordinate-measuring machines (CMMs). Instead of moving the entire machine to capture each point, REVO uses a 5-axis scanning head that collects data through rapid angular motion. Combined with automated probe and stylus changes, the system can handle complex geometries and full surface scans that traditionally required slow, point-by-point probing. I love specialized automation in action! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

That's how parts get inspected! 🪡 The pace is ridiculous. Imagine people still doing this instead of machines. Renishaw’s system is one of the biggest shifts in coordinate-measuring machines (CMMs). Instead of moving the entire machine to capture each point, REVO uses a 5-axis scanning head that collects data through rapid angular motion. Combined with automated probe and stylus changes, the system can handle complex geometries and full surface scans that traditionally required slow, point-by-point probing. I love specialized automation in action! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

43,178 views • 5 days ago

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.

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.

1,958,227 views • 1 year ago

A robot that drives straight up a wall! 🧱 VertiGo is a robot built by Disney Research with ETH Zürich. Most wall-climbing robots hold on. Suction cups, magnets, dry adhesives. All of them need a surface that cooperates, and none of them solve the genuinely hard part, which is getting from the floor onto the wall in the first place. Two tiltable propellers generate thrust into the wall, pressing four wheels against it hard enough to drive. Each propeller has two degrees of freedom for aiming that thrust, and one pair of wheels steers. The rear propeller pushes the robot toward the wall while the front propeller pushes upward, and the combination flips it onto the vertical surface. One propeller can hold you on a wall. It takes two to get you there. This is from the end of 2015, which is worth saying out loud. A decade later it's still an awesome project in robotics! :) ~~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

A robot that drives straight up a wall! 🧱 VertiGo is a robot built by Disney Research with ETH Zürich. Most wall-climbing robots hold on. Suction cups, magnets, dry adhesives. All of them need a surface that cooperates, and none of them solve the genuinely hard part, which is getting from the floor onto the wall in the first place. Two tiltable propellers generate thrust into the wall, pressing four wheels against it hard enough to drive. Each propeller has two degrees of freedom for aiming that thrust, and one pair of wheels steers. The rear propeller pushes the robot toward the wall while the front propeller pushes upward, and the combination flips it onto the vertical surface. One propeller can hold you on a wall. It takes two to get you there. This is from the end of 2015, which is worth saying out loud. A decade later it's still an awesome project in robotics! :) ~~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

121,319 views • 28 days ago

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 →

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 →

799,988 views • 10 months ago

A system with moving transfer plates! 🍽️ Modular transfer plates that move items in any direction. These systems from Festo give factories something really cool; reconfigurable motion that adapts as layouts or processes change. Because they can route items in multiple directions, you can run inspections, branch flows based on sensor data, or perform operations directly on the moving parts. It could even power fully automated storage: shelves that reposition items based on real-time demand. I'd love to see more of them in 3PL centers. Where would you use them? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

A system with moving transfer plates! 🍽️ Modular transfer plates that move items in any direction. These systems from Festo give factories something really cool; reconfigurable motion that adapts as layouts or processes change. Because they can route items in multiple directions, you can run inspections, branch flows based on sensor data, or perform operations directly on the moving parts. It could even power fully automated storage: shelves that reposition items based on real-time demand. I'd love to see more of them in 3PL centers. Where would you use them? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

215,528 views • 2 months ago

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 →

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 →

773,756 views • 10 months ago

Seeing touch without pressing down! 🫆 Most tactile sensors rely on deformation. Press down, deform the sensor, measure the deformation. But light contact, touching water, cream, soft films, doesn't deform anything. The sensor sees nothing. LightTact flips the approach. It uses optical detection instead. An ambient-blocking configuration suppresses external light and internal illumination everywhere except at actual contact points. Only scattered light from true contact gets through. The results? High-contrast raw images. Non-contact pixels stay near-black. Contact pixels show the natural appearance of whatever's touching. This works across material properties, contact forces, surface colors, and lighting conditions. Water, facial cream, thin films, liquids, all become visible the moment they touch. The sensor outputs spatially aligned visual-tactile images. Vision-language models can read them directly. Here's the paper: Changyi Lin and team - hats off ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Seeing touch without pressing down! 🫆 Most tactile sensors rely on deformation. Press down, deform the sensor, measure the deformation. But light contact, touching water, cream, soft films, doesn't deform anything. The sensor sees nothing. LightTact flips the approach. It uses optical detection instead. An ambient-blocking configuration suppresses external light and internal illumination everywhere except at actual contact points. Only scattered light from true contact gets through. The results? High-contrast raw images. Non-contact pixels stay near-black. Contact pixels show the natural appearance of whatever's touching. This works across material properties, contact forces, surface colors, and lighting conditions. Water, facial cream, thin films, liquids, all become visible the moment they touch. The sensor outputs spatially aligned visual-tactile images. Vision-language models can read them directly. Here's the paper: Changyi Lin and team - hats off ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

207,776 views • 3 months ago

This is not a 2050 warehouse. This is a modern air hub of Amazon. Amazon uses robots to help sort and ship billions of packages each year. At Amazon Air, the company's main air hub in Kentucky, hundreds of self-charging robots zoom across the warehouse floor to organize orders. These robots, called “drives,” follow small stickers on the floor to know where to go and when to speed up or slow down. Amazon has more than ONE MILLION robots in its facilities, and it’s even deploying more new types of robots that can sort items of different shapes and sizes. P.S. Can you guess how many robots they had back in 2013? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

This is not a 2050 warehouse. This is a modern air hub of Amazon. Amazon uses robots to help sort and ship billions of packages each year. At Amazon Air, the company's main air hub in Kentucky, hundreds of self-charging robots zoom across the warehouse floor to organize orders. These robots, called “drives,” follow small stickers on the floor to know where to go and when to speed up or slow down. Amazon has more than ONE MILLION robots in its facilities, and it’s even deploying more new types of robots that can sort items of different shapes and sizes. P.S. Can you guess how many robots they had back in 2013? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

181,431 views • 2 months ago

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.

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.

741,694 views • 1 year ago

🧵 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 📌]

🧵 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 📌]

780,491 views • 1 year ago

start building hexapods in your 20s, go into debt if you have to

start building hexapods in your 20s, go into debt if you have to

152,808 views • 2 months ago

🚨 BREAKING: SoftBank has agreed to acquire the RAI Institute from Hyundai Motor Group, and the story behind this deal is one of the most fascinating in all of robotics. There's not too many details yet. Neither party is saying much for now. RAI was founded by Marc Raibert, the same man who founded Boston Dynamics in 1992. SoftBank previously owned Boston Dynamics from 2017 to 2021. Now it's acquiring Raibert's next institution. The RAI's research is serious and foundational: robot control, perception, manipulation, navigation and AI for complex physical tasks. Its team developed the whole-body learning framework behind Atlas's extraordinary acrobatic movements. And for those who follow European robotics closely, Marco Hutter, the ETH Zürich one of the most respected figures in legged robotics globally, has been closely tied to RAI's research direction. The institute represents exactly the kind of fundamental research culture Hutter embodies, long-term, rigorous, hardware-in-the-loop science. But zoom out and the bird eye view is even more interesting to look at! 👀 Couple of facts! SoftBank is simultaneously: → Acquiring RAI — cutting-edge robotics AI research → Acquiring ABB's robotics business for $5.3 billion, decades of industrial automation at global scale → Building Roze AI, autonomous robots to build data centres Masayoshi Son is assembling one of the most ambitious robotics portfolios ever constructed. Fundamental research. Industrial scale. Physical infrastructure. All under one roof. The deal is currently under CFIUS review, the US foreign investment committee screening for national security implications. SoftBank is making a serious, long-term, multi-billion dollar bet that robotics is the defining technology platform of the next decade. 🔗 Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

🚨 BREAKING: SoftBank has agreed to acquire the RAI Institute from Hyundai Motor Group, and the story behind this deal is one of the most fascinating in all of robotics. There's not too many details yet. Neither party is saying much for now. RAI was founded by Marc Raibert, the same man who founded Boston Dynamics in 1992. SoftBank previously owned Boston Dynamics from 2017 to 2021. Now it's acquiring Raibert's next institution. The RAI's research is serious and foundational: robot control, perception, manipulation, navigation and AI for complex physical tasks. Its team developed the whole-body learning framework behind Atlas's extraordinary acrobatic movements. And for those who follow European robotics closely, Marco Hutter, the ETH Zürich one of the most respected figures in legged robotics globally, has been closely tied to RAI's research direction. The institute represents exactly the kind of fundamental research culture Hutter embodies, long-term, rigorous, hardware-in-the-loop science. But zoom out and the bird eye view is even more interesting to look at! 👀 Couple of facts! SoftBank is simultaneously: → Acquiring RAI — cutting-edge robotics AI research → Acquiring ABB's robotics business for $5.3 billion, decades of industrial automation at global scale → Building Roze AI, autonomous robots to build data centres Masayoshi Son is assembling one of the most ambitious robotics portfolios ever constructed. Fundamental research. Industrial scale. Physical infrastructure. All under one roof. The deal is currently under CFIUS review, the US foreign investment committee screening for national security implications. SoftBank is making a serious, long-term, multi-billion dollar bet that robotics is the defining technology platform of the next decade. 🔗 Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

53,685 views • 26 days ago

A robotic hand that walks away on its own fingers! 🪬 We finally have the Thing from Addams family in robotics, and it was developed at ETH Zürich. No wheels, no legs bolted underneath, no separate drive mechanism. The same fingers that grasp things also carry the hand across a surface and hold up its weight. A quadruped has four identical legs spaced evenly around its body, and most legged-locomotion reward functions quietly assume exactly that. A hand has fingers of different lengths, arranged unevenly around a palm, with a thumb that matches none of them. The team wrote a reward formulation for that unequal geometry, and in simulation it moves faster than tuned rewards borrowed from quadruped work. They kept the hand's existing finger design and its position controller, so this isn't a bespoke machine built for the demo. And power and computation sit onboard, so it runs untethered. → Crawling, steering, and recovery after being knocked over → While holding itself up, it executes a sequence of keyboard commands with no vision at all → It pushes an object to target positions using overhead visual feedback → The simulator was calibrated against measurements taken from the physical hardware A hand that walks to a task and then performs the task is a mobile manipulator with no locomotion hardware in it. Big shoutout to authors Amir Kzp! 😮‍💨 🔗 Here's the paper: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

A robotic hand that walks away on its own fingers! 🪬 We finally have the Thing from Addams family in robotics, and it was developed at ETH Zürich. No wheels, no legs bolted underneath, no separate drive mechanism. The same fingers that grasp things also carry the hand across a surface and hold up its weight. A quadruped has four identical legs spaced evenly around its body, and most legged-locomotion reward functions quietly assume exactly that. A hand has fingers of different lengths, arranged unevenly around a palm, with a thumb that matches none of them. The team wrote a reward formulation for that unequal geometry, and in simulation it moves faster than tuned rewards borrowed from quadruped work. They kept the hand's existing finger design and its position controller, so this isn't a bespoke machine built for the demo. And power and computation sit onboard, so it runs untethered. → Crawling, steering, and recovery after being knocked over → While holding itself up, it executes a sequence of keyboard commands with no vision at all → It pushes an object to target positions using overhead visual feedback → The simulator was calibrated against measurements taken from the physical hardware A hand that walks to a task and then performs the task is a mobile manipulator with no locomotion hardware in it. Big shoutout to authors Amir Kzp! 😮‍💨 🔗 Here's the paper: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

62,562 views • 1 month ago

Robots can make building tall structures safer. 🧱 The fastening robot from Raise Robotics helps put up walls on high buildings without putting workers in danger. It uses robots to do the risky jobs people used to do. This means fewer accidents and injuries on construction sites. Workers can stay on the ground and control the robot from a safe place. My fear of height just got a fear of height! 🫣 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Robots can make building tall structures safer. 🧱 The fastening robot from Raise Robotics helps put up walls on high buildings without putting workers in danger. It uses robots to do the risky jobs people used to do. This means fewer accidents and injuries on construction sites. Workers can stay on the ground and control the robot from a safe place. My fear of height just got a fear of height! 🫣 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

34,832 views • 16 days ago

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 →

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 →

290,100 views • 5 months ago

Trained a humanoid entirely in a 3D scan of the office. Zero real-world fine-tuning. It just walked in and worked. RL needs hundreds of thousands of attempts, and real robots can't afford to crash. A misjudged gap or a glass door collision breaks hardware and costs hours resetting. So you train in a sim. But sim policies usually train on randomized, untextured geometry; depth is easy to fake. The robot learns structure, not the real world: no materials, no lighting, no idea what anything actually is. RGB cameras carry all of that but training RGB policies in generic fake worlds won’t generalize to the real world. Niantic Spatial 🌎 Scaniverse reconstructs your scan of the real deployment site. One 360° camera walkthrough → photorealistic 3D Gaussian splat at metric scale → collision mesh pulled from the same reconstruction, so vision and physics match exactly. Drops straight into NVIDIA Isaac Sim/Lab, no manual conversion. Flexion simulation-first approach then seamlessly enables the training of RGB-only nav policies inside that reconstruction. With added domain randomization + large image encoders for robustness, this deploys straight to hardware. No real-world fine-tuning. Deployment: months of on-site adaptation → days. Tune into the NVIDIA livestream on 12 August to hear how these companies are closing the sim2real gap: NVIDIA Robotics ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Trained a humanoid entirely in a 3D scan of the office. Zero real-world fine-tuning. It just walked in and worked. RL needs hundreds of thousands of attempts, and real robots can't afford to crash. A misjudged gap or a glass door collision breaks hardware and costs hours resetting. So you train in a sim. But sim policies usually train on randomized, untextured geometry; depth is easy to fake. The robot learns structure, not the real world: no materials, no lighting, no idea what anything actually is. RGB cameras carry all of that but training RGB policies in generic fake worlds won’t generalize to the real world. Niantic Spatial 🌎 Scaniverse reconstructs your scan of the real deployment site. One 360° camera walkthrough → photorealistic 3D Gaussian splat at metric scale → collision mesh pulled from the same reconstruction, so vision and physics match exactly. Drops straight into NVIDIA Isaac Sim/Lab, no manual conversion. Flexion simulation-first approach then seamlessly enables the training of RGB-only nav policies inside that reconstruction. With added domain randomization + large image encoders for robustness, this deploys straight to hardware. No real-world fine-tuning. Deployment: months of on-site adaptation → days. Tune into the NVIDIA livestream on 12 August to hear how these companies are closing the sim2real gap: NVIDIA Robotics ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

120,143 views • 2 months ago

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 →

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 →

216,986 views • 4 months ago