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Robots building homes! 🛖 Automated modular house construction getting a helping hand from robots. Their approach aims to shift construction from traditional sites to factory settings, where robots assist workers in building houses using materials like wood or steel. This method promises to reduce construction time and costs, optimize...

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Lukas Ziegler

61,687 subscribers

16,052 次观看 • 2 年前 •via X (Twitter)

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8 条评论

Davo Corbulo 的头像
Davo Corbulo2 年前

is there a link to a longer video showing more into the process?

Victor Robert 的头像
Victor Robert2 年前

We must stop building with wood and other degradable materials and move to longer lasting materials sourced from our waste stream Glass Metal Plastic

Aleksandr Vasilenko 的头像
Aleksandr Vasilenko2 年前

Modular homes plus automated modular component manufacturing is the way. Hardest part would be on-site autonomous assembly of modules into a complete house. One step at a time.

Crossroad Assistant: Prioritize Factors, Act Fast 的头像
Crossroad Assistant: Prioritize Factors, Act Fast2 年前

Amazing

n1ck Ⓜ️🕸️ 的头像
n1ck Ⓜ️🕸️2 年前

Nice, the only disadvantage is that prices in many countries are kept artificially high so that the housing market does not collapse

Appy Pie 的头像
Appy Pie2 年前

Robots in construction are a game-changer! Faster, cost-effective, and customizable homes are on the way.

Setpoint Systems 的头像
Setpoint Systems2 年前

Another job taken by robots..

Ross Griffin 的头像
Ross Griffin1 年前

By leveraging robotics, we can achieve high-quality, resource-efficient homes at a fraction of the time and cost. I can't wait to see what else we can achieve with tech like this! @lukas_m_ziegler

相关视频

🚨 Apple joins the robotics race! Researchers from Carnegie Mellon University and Apple have developed a robot collision avoidance system. They called it ARMOR and they implemented it on the Fourier GR-1 robot. What is ARMOR? 👘 ARMOR is a system that helps humanoid robots "see" their surroundings better by using small, smart depth sensors placed on their arms. It solves the problem of blind spots and occlusions in traditional robot perception, making robots much safer and more efficient. It uses Time-of-Flight (ToF) sensors to detect obstacles, providing a near-complete view of the robot’s environment. 🔭 A smart software powered by transformer-based AI learns from human movements to help robots plan their actions dynamically. ARMOR reduces collisions by an impressive 63.7%, making robots significantly better at navigating crowded or complex spaces. The system is fast as well! 💨 ARMOR-Policy cuts computational time by 26× compared to traditional planning methods, ensuring robots can act quickly. P.S. Thoughts on this? The research paper is in the comments! ~~~ ♻️ RT to help 1 robot find a new workplace.
1:31

🚨 Apple joins the robotics race! Researchers from Carnegie Mellon University and Apple have developed a robot collision avoidance system. They called it ARMOR and they implemented it on the Fourier GR-1 robot. What is ARMOR? 👘 ARMOR is a system that helps humanoid robots "see" their surroundings better by using small, smart depth sensors placed on their arms. It solves the problem of blind spots and occlusions in traditional robot perception, making robots much safer and more efficient. It uses Time-of-Flight (ToF) sensors to detect obstacles, providing a near-complete view of the robot’s environment. 🔭 A smart software powered by transformer-based AI learns from human movements to help robots plan their actions dynamically. ARMOR reduces collisions by an impressive 63.7%, making robots significantly better at navigating crowded or complex spaces. The system is fast as well! 💨 ARMOR-Policy cuts computational time by 26× compared to traditional planning methods, ensuring robots can act quickly. P.S. Thoughts on this? The research paper is in the comments! ~~~ ♻️ RT to help 1 robot find a new workplace.

Lukas Ziegler

169,472 次观看 • 1 年前

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

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

Lukas Ziegler

17,472 次观看 • 16 天前

Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:56

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

Lukas Ziegler

20,898 次观看 • 7 个月前

Vance: I understand why people are worried that, you know, if you have a robot doing that job, does it take away from a blue-collar worker who could do that job? The evidence I see is that if we really lean in to robotics and technology, it’s is going to raise everybody's wages and make everybody better off. If you go back to when the automated teller machine was invented, everybody said it would destroy the jobs of all the bank tellers. What actually happened is that today you have more people working in bank telling then you did 50 years ago. I don't think we will ever eliminate the construction industry in this country just because you have robots. What you will have his a lot of construction workers who are using those robots, directing those robots
2:18

Vance: I understand why people are worried that, you know, if you have a robot doing that job, does it take away from a blue-collar worker who could do that job? The evidence I see is that if we really lean in to robotics and technology, it’s is going to raise everybody's wages and make everybody better off. If you go back to when the automated teller machine was invented, everybody said it would destroy the jobs of all the bank tellers. What actually happened is that today you have more people working in bank telling then you did 50 years ago. I don't think we will ever eliminate the construction industry in this country just because you have robots. What you will have his a lot of construction workers who are using those robots, directing those robots

Acyn

156,104 次观看 • 10 个月前

Billionaire investor Mark Cuban predicts humanoid robots will "fail miserably" within a decade: While most of the industry is racing to build robots shaped like humans, Mark Cuban thinks the entire premise is wrong. "I think everybody's making this push for humanoid robots. I think they might have a five-year lifespan and then they'll fail miserably. Maybe 10." His prediction covers more than just the machines. Asked whether he's referring to the companies or the devices, he answers: "Both. Both." His reasoning challenges the industry's core assumption: "Everybody defaults to well, we live in a human world and humanoids will take the place of humans for various functions particularly in the home. And I think there's just no chance." The evidence? Look at the places where automation already works at massive scale: "If you look at warehouses and what Amazon does, they're not humanoid robots carrying boxes. They're robots that are designed to fit the environment." But what about homes? Cuban has heard the counterargument that "a house is a house. You need a humanoid," and he rejects it entirely: "I think houses are going to be redesigned completely so that whatever the optimal robot is that allows it to simplify the house, that's where houses will go." Mark Cuban imagines robots shaped more like spiders or ants, working in houses where the pantry, refrigerator, and washing machines are hidden behind the garage. "That way you could redesign it so all the living space was for people because you know that the robots aren't going to be full form humanoids. They're going to be whatever the optimal shape is." His conclusion captures the whole thesis in one line: "You design the house to fit the robot and you design the robot to fit the house."
1:39

Billionaire investor Mark Cuban predicts humanoid robots will "fail miserably" within a decade: While most of the industry is racing to build robots shaped like humans, Mark Cuban thinks the entire premise is wrong. "I think everybody's making this push for humanoid robots. I think they might have a five-year lifespan and then they'll fail miserably. Maybe 10." His prediction covers more than just the machines. Asked whether he's referring to the companies or the devices, he answers: "Both. Both." His reasoning challenges the industry's core assumption: "Everybody defaults to well, we live in a human world and humanoids will take the place of humans for various functions particularly in the home. And I think there's just no chance." The evidence? Look at the places where automation already works at massive scale: "If you look at warehouses and what Amazon does, they're not humanoid robots carrying boxes. They're robots that are designed to fit the environment." But what about homes? Cuban has heard the counterargument that "a house is a house. You need a humanoid," and he rejects it entirely: "I think houses are going to be redesigned completely so that whatever the optimal robot is that allows it to simplify the house, that's where houses will go." Mark Cuban imagines robots shaped more like spiders or ants, working in houses where the pantry, refrigerator, and washing machines are hidden behind the garage. "That way you could redesign it so all the living space was for people because you know that the robots aren't going to be full form humanoids. They're going to be whatever the optimal shape is." His conclusion captures the whole thesis in one line: "You design the house to fit the robot and you design the robot to fit the house."

Big Brain AI

145,027 次观看 • 2 个月前

THE WOVEN ROBOT! Wow! The woven robot hand is here and it is absolutely game-changing. Allonic just braided thousands of tendon-like fibers around a 3D-printed skeleton in minutes. No joints. No screws. No human assembly. Pure biomimetic tissue that flexes, grips, and lasts like biology itself. This isn’t incremental. This is the breakthrough that collapses robot hand costs from $30,000 to pennies. The old world of expensive, fragile robotic limbs is over. Now humanoid robots can build more of themselves scalable, replicable, anywhere. Robots building Robots building Robots, yeah you get it. In your freaking garage! Massive opportunities are about to explode as work as we know it fades. Rent one, have it build your fleet, send it back, repeat. Thousands if you want. The age of woven machines begins.
0:26

THE WOVEN ROBOT! Wow! The woven robot hand is here and it is absolutely game-changing. Allonic just braided thousands of tendon-like fibers around a 3D-printed skeleton in minutes. No joints. No screws. No human assembly. Pure biomimetic tissue that flexes, grips, and lasts like biology itself. This isn’t incremental. This is the breakthrough that collapses robot hand costs from $30,000 to pennies. The old world of expensive, fragile robotic limbs is over. Now humanoid robots can build more of themselves scalable, replicable, anywhere. Robots building Robots building Robots, yeah you get it. In your freaking garage! Massive opportunities are about to explode as work as we know it fades. Rent one, have it build your fleet, send it back, repeat. Thousands if you want. The age of woven machines begins.

Brian Roemmele

21,747 次观看 • 6 个月前

Japan Just Built a HouseBot You Control Without Speaking and It Changes Everything! Donut Robotics has officially unveiled its first bipedal humanoid, Cinnamon 1, and instead of focusing on louder voices or bigger motors, the company went in the opposite direction. Silence. Cinnamon 1 introduces what Donut Robotics calls Silent Gesture Control, a system that allows the humanoid to be guided using simple hand and finger movements rather than spoken commands. This approach feels especially well suited for real world environments where traditional voice control falls apart. Busy factory floors. Construction sites filled with constant noise. Even quiet indoor settings where voice commands feel awkward or intrusive. It also opens the door for far more accessible human robot interaction, particularly for users with impairments. While the current Cinnamon 1 hardware is built on an OEM platform, the intelligence driving it is where Donut Robotics is placing its long term bet. The team is actively developing custom Vision Language Action AI that allows the robot to interpret what it sees, understand intent, and respond with physical action. The goal is not just smarter robots, but robots that feel more natural. Even more ambitious is the company’s plan for full domestic production. Donut Robotics has stated its intention to localize both manufacturing and AI development in Japan, reinforcing the country’s reputation for precision engineering and thoughtful robotics design. If timelines hold, Cinnamon 1 units are expected to begin deployment in factories and construction environments by the end of 2026. That puts this humanoid squarely in the category of near term reality rather than distant concept. The takeaway is simple but important. As humanoid robots move out of labs and into daily work environments, the winners may not be the loudest or flashiest machines. They may be the ones that understand us without a word being spoken.
0:31

Japan Just Built a HouseBot You Control Without Speaking and It Changes Everything! Donut Robotics has officially unveiled its first bipedal humanoid, Cinnamon 1, and instead of focusing on louder voices or bigger motors, the company went in the opposite direction. Silence. Cinnamon 1 introduces what Donut Robotics calls Silent Gesture Control, a system that allows the humanoid to be guided using simple hand and finger movements rather than spoken commands. This approach feels especially well suited for real world environments where traditional voice control falls apart. Busy factory floors. Construction sites filled with constant noise. Even quiet indoor settings where voice commands feel awkward or intrusive. It also opens the door for far more accessible human robot interaction, particularly for users with impairments. While the current Cinnamon 1 hardware is built on an OEM platform, the intelligence driving it is where Donut Robotics is placing its long term bet. The team is actively developing custom Vision Language Action AI that allows the robot to interpret what it sees, understand intent, and respond with physical action. The goal is not just smarter robots, but robots that feel more natural. Even more ambitious is the company’s plan for full domestic production. Donut Robotics has stated its intention to localize both manufacturing and AI development in Japan, reinforcing the country’s reputation for precision engineering and thoughtful robotics design. If timelines hold, Cinnamon 1 units are expected to begin deployment in factories and construction environments by the end of 2026. That puts this humanoid squarely in the category of near term reality rather than distant concept. The takeaway is simple but important. As humanoid robots move out of labs and into daily work environments, the winners may not be the loudest or flashiest machines. They may be the ones that understand us without a word being spoken.

The AI Robot Guy on X

257,928 次观看 • 8 个月前

Hyundai Glovis achieves 100% robot uptime with wireless charging! 🔌 Hyundai Glovis faced a problem common to warehouse automation: charging downtime was killing efficiency. Their fleet of AGVs operated with a 6.75:1 work-to-charge ratio. Every seventh robot was charging at any given moment. This meant 15% operational efficiency loss, or the need to purchase 15% extra robots just to compensate for charging downtime. CaPow solution is wireless power transfer while robots work! 🛜 The Genesis platform uses capacitive charging pads placed in the floor where robots naturally stop during operations, in this case, at picking stations. No docking required, no deviation from routes, no excavation needed. The test compared two identical setups. Section A used three robots with traditional charging (operate until 40% battery, charge to 95%). Section B used three robots with CaPow's system, charging at the picking station while operators picked items from bins. Traditional robots lost 8.3% battery per hour and suffered 33% operational inefficiency (150 minutes downtime out of 447 minutes). CaPowered robots gained 1% battery per hour on average and achieved 100% uptime for the entire 8-hour shift. The math on a 100-robot fleet is clear. Traditional charging means only 85 robots working at any time. To maintain full throughput, you need to buy 15 extra robots plus 15 extra chargers. Those chargers consume valuable warehouse space and add extra downtime as robots travel to and from charging zones. CaPow eliminates all of it. No extra robots, no chargers taking up floor space, no charging routes, no fleet management complexity. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:38

Hyundai Glovis achieves 100% robot uptime with wireless charging! 🔌 Hyundai Glovis faced a problem common to warehouse automation: charging downtime was killing efficiency. Their fleet of AGVs operated with a 6.75:1 work-to-charge ratio. Every seventh robot was charging at any given moment. This meant 15% operational efficiency loss, or the need to purchase 15% extra robots just to compensate for charging downtime. CaPow solution is wireless power transfer while robots work! 🛜 The Genesis platform uses capacitive charging pads placed in the floor where robots naturally stop during operations, in this case, at picking stations. No docking required, no deviation from routes, no excavation needed. The test compared two identical setups. Section A used three robots with traditional charging (operate until 40% battery, charge to 95%). Section B used three robots with CaPow's system, charging at the picking station while operators picked items from bins. Traditional robots lost 8.3% battery per hour and suffered 33% operational inefficiency (150 minutes downtime out of 447 minutes). CaPowered robots gained 1% battery per hour on average and achieved 100% uptime for the entire 8-hour shift. The math on a 100-robot fleet is clear. Traditional charging means only 85 robots working at any time. To maintain full throughput, you need to buy 15 extra robots plus 15 extra chargers. Those chargers consume valuable warehouse space and add extra downtime as robots travel to and from charging zones. CaPow eliminates all of it. No extra robots, no chargers taking up floor space, no charging routes, no fleet management complexity. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

17,778 次观看 • 7 个月前

Weekly drone flight update on the Giga Texas Tesla Optimus factory construction. There is a noticeable jump in steel assembly this week … mid/south bays filling over the footing field, the steel structure assembly is pushing towards the north grade beam. This is the brand-new dedicated ~7M sq ft plant for the 10M/yr line. First (limited) production is expected sometime in late 2027. Meanwhile, some other Optimus Robot news: at the Fremont factory in California, the smaller 1M/yr pilot production plant is reportedly coming on-line quickly. Supply-chain reports this week of a first ~5k-unit parts order (unconfirmed). Optimus may be the hardest product Tesla has ever tried to scale and both the pilot line at Fremont and this new factory (10X larger) are making fast progress to allow the scale manufacturing needed for millions of humanoid robots coming in the next few years, beginning with the V3 robots from Fremont starting in 2027 and then V4 robots from this facility late in 2027 and into 2028. Tesla 🤖
1:52

Weekly drone flight update on the Giga Texas Tesla Optimus factory construction. There is a noticeable jump in steel assembly this week … mid/south bays filling over the footing field, the steel structure assembly is pushing towards the north grade beam. This is the brand-new dedicated ~7M sq ft plant for the 10M/yr line. First (limited) production is expected sometime in late 2027. Meanwhile, some other Optimus Robot news: at the Fremont factory in California, the smaller 1M/yr pilot production plant is reportedly coming on-line quickly. Supply-chain reports this week of a first ~5k-unit parts order (unconfirmed). Optimus may be the hardest product Tesla has ever tried to scale and both the pilot line at Fremont and this new factory (10X larger) are making fast progress to allow the scale manufacturing needed for millions of humanoid robots coming in the next few years, beginning with the V3 robots from Fremont starting in 2027 and then V4 robots from this facility late in 2027 and into 2028. Tesla 🤖

Joe Tegtmeyer 🚀 🤠🛸😎

53,067 次观看 • 17 天前

A cute humanoid robot from NYC Fauna Robotics has released a humanoid robot called Sprout, which is approximately 1 meter tall, lightweight, quiet, and features no dangerous edges and soft skin. Its appearance and interactions are designed to be "approachable," like a social companion. It is currently offered as a general-purpose robotics platform for developers, providing basic movement, perception, navigation, and expression capabilities, allowing real-world use cases to emerge within the community. Many humanoid robots are born in factories and warehouses, but Fauna Robotics aims to bring humanoid robots back into human living spaces. Fauna believes that if humanoid robots are to become as ubiquitous as computers and mobile phones in the future, the starting point must be a safe, friendly form suitable for homes, schools, and offices. Sprout is their first step in this direction.
1:01

A cute humanoid robot from NYC Fauna Robotics has released a humanoid robot called Sprout, which is approximately 1 meter tall, lightweight, quiet, and features no dangerous edges and soft skin. Its appearance and interactions are designed to be "approachable," like a social companion. It is currently offered as a general-purpose robotics platform for developers, providing basic movement, perception, navigation, and expression capabilities, allowing real-world use cases to emerge within the community. Many humanoid robots are born in factories and warehouses, but Fauna Robotics aims to bring humanoid robots back into human living spaces. Fauna believes that if humanoid robots are to become as ubiquitous as computers and mobile phones in the future, the starting point must be a safe, friendly form suitable for homes, schools, and offices. Sprout is their first step in this direction.

CyberRobo

18,549 次观看 • 8 个月前

🚨 ISRAEL’S CONSTRUCTION DILEMMA AFTER OCTOBER 7 - TRUST PALESTINIAN LABOR? Since October 7, Israel’s construction sector has been shaken. The workforce that once powered building across the country largely disappeared overnight. Attempts to replace it with foreign labor from countries like China and Bangladesh have fallen short. So the reality on the ground is shifting. Some construction sites now look like fortified zones: • High walls • Barbed wire • Guard posts Not prisons. Worksites. Workers are employed legally, earning Israeli salaries, yet the sites are being sealed off due to security concerns. And now the debate inside Israel is intensifying: Is this the new reality we have to live with? Or has Israel become too dependent on Arab labor to truly separate? Will workers continue walking into sites that look like prisons and accept it as normal? And at what point does the broader realization set in that Jews are not going anywhere and that these economies are deeply intertwined? Thoughts?
0:31

🚨 ISRAEL’S CONSTRUCTION DILEMMA AFTER OCTOBER 7 - TRUST PALESTINIAN LABOR? Since October 7, Israel’s construction sector has been shaken. The workforce that once powered building across the country largely disappeared overnight. Attempts to replace it with foreign labor from countries like China and Bangladesh have fallen short. So the reality on the ground is shifting. Some construction sites now look like fortified zones: • High walls • Barbed wire • Guard posts Not prisons. Worksites. Workers are employed legally, earning Israeli salaries, yet the sites are being sealed off due to security concerns. And now the debate inside Israel is intensifying: Is this the new reality we have to live with? Or has Israel become too dependent on Arab labor to truly separate? Will workers continue walking into sites that look like prisons and accept it as normal? And at what point does the broader realization set in that Jews are not going anywhere and that these economies are deeply intertwined? Thoughts?

Mossad Commentary

24,724 次观看 • 5 个月前

Another awesome robotics company raised funds in Europe. 🇪🇺 This time a company that is shipping robots that build! Monumental has raised $32M Series B led by Khosla Ventures, and its fleet of autonomous bricklaying robots has already built more than 100 real structures across Europe. Houses. A school. A community centre. A hotel. Canal walls. Founded by Salar al Khafaji al Khafaji and Sebastiaan Visser, the co-founders of data visualisation firm Silk, acquired by Palantir in 2016, this is a team that knows how to build and sell a company. The technology is serious: → Fleet of 100+ electric autonomous robots operating on live job sites today → Advanced sensors, computer vision and small cranes laying brick to millimetre precision → All driven by Atrium, their proprietary AI software platform → Nearly half of all homes built in the last three months alone, pace is compounding fast The business model is also worth taking a look at. Contractors don't buy the robots. They hire Monumental as an autonomous subcontractor and pay for finished wall. So in the end you only pay for the output. This is the same forward-deployed engineering model Palantir pioneered in software. Monumental brought it to physical robotics years before anyone else in the industry caught on. The backdrop makes this urgent. US construction is short 200,000-400,000 workers every month. Since 1945, US manufacturing productivity rose eightfold. Construction gained just 10%, and has actually declined since the 1960s. LET'S MAKE CONSTRUCTION BUSINESSES SEXY AGAIN! 🧱 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:28

Another awesome robotics company raised funds in Europe. 🇪🇺 This time a company that is shipping robots that build! Monumental has raised $32M Series B led by Khosla Ventures, and its fleet of autonomous bricklaying robots has already built more than 100 real structures across Europe. Houses. A school. A community centre. A hotel. Canal walls. Founded by Salar al Khafaji al Khafaji and Sebastiaan Visser, the co-founders of data visualisation firm Silk, acquired by Palantir in 2016, this is a team that knows how to build and sell a company. The technology is serious: → Fleet of 100+ electric autonomous robots operating on live job sites today → Advanced sensors, computer vision and small cranes laying brick to millimetre precision → All driven by Atrium, their proprietary AI software platform → Nearly half of all homes built in the last three months alone, pace is compounding fast The business model is also worth taking a look at. Contractors don't buy the robots. They hire Monumental as an autonomous subcontractor and pay for finished wall. So in the end you only pay for the output. This is the same forward-deployed engineering model Palantir pioneered in software. Monumental brought it to physical robotics years before anyone else in the industry caught on. The backdrop makes this urgent. US construction is short 200,000-400,000 workers every month. Since 1945, US manufacturing productivity rose eightfold. Construction gained just 10%, and has actually declined since the 1960s. LET'S MAKE CONSTRUCTION BUSINESSES SEXY AGAIN! 🧱 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

74,876 次观看 • 2 个月前

Robotics is entering the mainstream! 👀 Let's accept this fact. Consumptionism – stonks. Possibilities (HW + SW) – stonks. Demographics - not stonks. Modern robots are often designed to interact with our legacy world, whether it's a household, a factory, or a shipyard. That means they often need to work with existing machines, tools, and spaces. In short: retrofitting. Improving old machines with new technologies without major interference in their operation. Modern way of integrating things. You don't have to change the entire environment to deploy a robot. The robot will adapt, just as human would when freshly hired. The promise is to have an army of robots to help with the world designed for us. I also believe that general purpose robots, are not a direct competition for single purpose machines (like a highly efficient specialized packaging machine, for example). It's like adding a robot to this carriage. Specialized machine could be a car ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:59

Robotics is entering the mainstream! 👀 Let's accept this fact. Consumptionism – stonks. Possibilities (HW + SW) – stonks. Demographics - not stonks. Modern robots are often designed to interact with our legacy world, whether it's a household, a factory, or a shipyard. That means they often need to work with existing machines, tools, and spaces. In short: retrofitting. Improving old machines with new technologies without major interference in their operation. Modern way of integrating things. You don't have to change the entire environment to deploy a robot. The robot will adapt, just as human would when freshly hired. The promise is to have an army of robots to help with the world designed for us. I also believe that general purpose robots, are not a direct competition for single purpose machines (like a highly efficient specialized packaging machine, for example). It's like adding a robot to this carriage. Specialized machine could be a car ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

14,396 次观看 • 7 个月前

A six-story residential building in Beijing was rebuilt in just 46 days using 156 prefabricated modules—like stacking LEGO bricks at city scale, with roughly one floor rising each week. China State Construction replaced an aging 1978 walk-up with a modern, energy-efficient home for 54 families—in record time. Using modular construction—closer to assembling cars in a factory than traditional on-site building—the project cut construction waste by 75% and carbon emissions by 30%. The new building includes elevators powered by rooftop solar panels, improved soundproofing, and safer layouts for families of all ages. Beyond speed and sustainability, the approach also made life easier for residents. Instead of waiting years in temporary housing, families moved back in within just five months. Less disruption, less dust, less noise—a brand-new start for the community. Zoom out, and it echoes a broader pattern. Across China, bridges stretch across rough seas, high-speed rail tunnels carve through mountains, and massive projects like the Three Gorges Dam tame mighty rivers. Again and again, engineers face steep cliffs, deep valleys, and choppy waters—and find ways through. Backed by the strength of 1.4 billion people, projects that once looked out of reach are now routine. When communities need safer homes, faster trains, or stronger bridges, the response is simple: build it—and build it well.
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A six-story residential building in Beijing was rebuilt in just 46 days using 156 prefabricated modules—like stacking LEGO bricks at city scale, with roughly one floor rising each week. China State Construction replaced an aging 1978 walk-up with a modern, energy-efficient home for 54 families—in record time. Using modular construction—closer to assembling cars in a factory than traditional on-site building—the project cut construction waste by 75% and carbon emissions by 30%. The new building includes elevators powered by rooftop solar panels, improved soundproofing, and safer layouts for families of all ages. Beyond speed and sustainability, the approach also made life easier for residents. Instead of waiting years in temporary housing, families moved back in within just five months. Less disruption, less dust, less noise—a brand-new start for the community. Zoom out, and it echoes a broader pattern. Across China, bridges stretch across rough seas, high-speed rail tunnels carve through mountains, and massive projects like the Three Gorges Dam tame mighty rivers. Again and again, engineers face steep cliffs, deep valleys, and choppy waters—and find ways through. Backed by the strength of 1.4 billion people, projects that once looked out of reach are now routine. When communities need safer homes, faster trains, or stronger bridges, the response is simple: build it—and build it well.

Sinical

4,716,824 次观看 • 6 个月前

A robot with wheels and legs! 🦿 Wheeled mobile robots are popular in many fields because they are stable, efficient, and simple to build. However, they often occupy more space than humans and struggle to navigate crowded hallways, ramps, or elevators. 🛗 To address this, a robot developed at the Korea University of Technology and Education combines legs for extra support and mecanum wheels for smooth, all-directional movement. It has a slim, human-like design with four wheel-leg mechanisms, each using a special 2-DOF leg and a mecanum wheel. A unique mechanism keeps the wheels steady while the legs move, helping the robot stay agile and absorb shocks. The design also reduces strain on the motors, making it more efficient. Tests showed that the robot could move quickly, climb steps, and navigate elevators with people. Research paper in the comments! 🗞️ ~~~ ♻️ R to help 1 robot find a new workplace.
2:35

A robot with wheels and legs! 🦿 Wheeled mobile robots are popular in many fields because they are stable, efficient, and simple to build. However, they often occupy more space than humans and struggle to navigate crowded hallways, ramps, or elevators. 🛗 To address this, a robot developed at the Korea University of Technology and Education combines legs for extra support and mecanum wheels for smooth, all-directional movement. It has a slim, human-like design with four wheel-leg mechanisms, each using a special 2-DOF leg and a mecanum wheel. A unique mechanism keeps the wheels steady while the legs move, helping the robot stay agile and absorb shocks. The design also reduces strain on the motors, making it more efficient. Tests showed that the robot could move quickly, climb steps, and navigate elevators with people. Research paper in the comments! 🗞️ ~~~ ♻️ R to help 1 robot find a new workplace.

Lukas Ziegler

36,059 次观看 • 1 年前

Let's do a robots watch party! 😉 This is a whole video where we go through videos of real-world use cases for robotics – industry per industry – 20 minutes – only the coolest robot stuff out there. 🤖🔥 And I have the perfect person to join me: Lukas Ziegler, 300k+ followers across platforms, million views, one of the leading influencer voices bringing robotics mainstream. We start with five markets that are mature: 📦 Logistics, ⚡ Energy, 🌾 Farming, 🏗️ Construction, 🔒 Security. Robotics, real world, actually happening. Not pitch decks. We explain the context and what opportunities we see. 👀 Then we get into the weird stuff. Robot skin made from human cells. Brain-controlled robots. Robots in Brains. Fight clubs. A happy robot whose only job is to stop grain bins from exploding. If you ever wondered what the robotics landscape actually looks like right now: This is it. 00:00 Intro 00:37 Logistics 📦 03:04 Energy ⚡ 05:22 Farming 🌾 07:47 Construction 🏗️ 09:46 Security 🔒 11:20 Humanoids 🧍‍♂️ 13:48 😵 Freak section
21:48

Let's do a robots watch party! 😉 This is a whole video where we go through videos of real-world use cases for robotics – industry per industry – 20 minutes – only the coolest robot stuff out there. 🤖🔥 And I have the perfect person to join me: Lukas Ziegler, 300k+ followers across platforms, million views, one of the leading influencer voices bringing robotics mainstream. We start with five markets that are mature: 📦 Logistics, ⚡ Energy, 🌾 Farming, 🏗️ Construction, 🔒 Security. Robotics, real world, actually happening. Not pitch decks. We explain the context and what opportunities we see. 👀 Then we get into the weird stuff. Robot skin made from human cells. Brain-controlled robots. Robots in Brains. Fight clubs. A happy robot whose only job is to stop grain bins from exploding. If you ever wondered what the robotics landscape actually looks like right now: This is it. 00:00 Intro 00:37 Logistics 📦 03:04 Energy ⚡ 05:22 Farming 🌾 07:47 Construction 🏗️ 09:46 Security 🔒 11:20 Humanoids 🧍‍♂️ 13:48 😵 Freak section

Andreas Klinger 🦾

28,578 次观看 • 7 个月前

Elon's 5-year vision for Optimus: Three things are growing exponentially and multiplying each other recursively: digital intelligence, AI chip capability, and electromechanical dexterity. "The usefulness of the robot is roughly those three things multiplied by each other." Then the robot starts building more robots. "You have a recursive multiplicative exponential. This is a supernova." He calls Optimus the infinite money glitch because you can use them to make more Optimuses. Each generation gets cheaper because the previous generation manufactures it. His target: Optimus 3 at 1 million units a year. Optimus 4 at 10 million. After that, Grok orchestrates the Optimi. Assigns them tasks. Builds factories. "Let's say you wanted to build a factory. Grok could organize the Optimus robots, assign them tasks to build the factory to produce whatever you want." You don't need to raise another $2B from VCs for the factory expansion. You don't hire 10,000 workers. You deploy the robots you already have. The recursion compresses the timeline from decades to years.
4:27

Elon's 5-year vision for Optimus: Three things are growing exponentially and multiplying each other recursively: digital intelligence, AI chip capability, and electromechanical dexterity. "The usefulness of the robot is roughly those three things multiplied by each other." Then the robot starts building more robots. "You have a recursive multiplicative exponential. This is a supernova." He calls Optimus the infinite money glitch because you can use them to make more Optimuses. Each generation gets cheaper because the previous generation manufactures it. His target: Optimus 3 at 1 million units a year. Optimus 4 at 10 million. After that, Grok orchestrates the Optimi. Assigns them tasks. Builds factories. "Let's say you wanted to build a factory. Grok could organize the Optimus robots, assign them tasks to build the factory to produce whatever you want." You don't need to raise another $2B from VCs for the factory expansion. You don't hire 10,000 workers. You deploy the robots you already have. The recursion compresses the timeline from decades to years.

Founder Mode

29,068 次观看 • 5 个月前

Simulation-first approach to robotic production lines! 👾 At Hannover Messe, Amazon Web Services (AWS) and SoftServe are demonstrating a fully autonomous, AI-powered manufacturing workflow. Design a product using generative AI, then watch it move through the entire process: engraving, inspection, and delivery, handled by a mix of robots working together powered by physical AI on AWS. The interesting part is how the system is built. Getting robots into production is usually where things fall apart. SoftServe takes a simulation-first approach using AWS. They build and test the entire system virtually: robot behavior, production flow, before deploying anything physically. This enables faster iteration, safe edge case testing, and significantly reduced sim-to-real gap. Their demo includes AMRs handling transport, cobots doing precise manipulation, AI-driven quality inspection, and humanoid interaction at the end. All connected through a unified, software-defined layer powered by AWS. It's about building a system where robots can adapt, coordinate, and scale without rebuilding everything from scratch every time. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:38

Simulation-first approach to robotic production lines! 👾 At Hannover Messe, Amazon Web Services (AWS) and SoftServe are demonstrating a fully autonomous, AI-powered manufacturing workflow. Design a product using generative AI, then watch it move through the entire process: engraving, inspection, and delivery, handled by a mix of robots working together powered by physical AI on AWS. The interesting part is how the system is built. Getting robots into production is usually where things fall apart. SoftServe takes a simulation-first approach using AWS. They build and test the entire system virtually: robot behavior, production flow, before deploying anything physically. This enables faster iteration, safe edge case testing, and significantly reduced sim-to-real gap. Their demo includes AMRs handling transport, cobots doing precise manipulation, AI-driven quality inspection, and humanoid interaction at the end. All connected through a unified, software-defined layer powered by AWS. It's about building a system where robots can adapt, coordinate, and scale without rebuilding everything from scratch every time. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

17,709 次观看 • 5 个月前