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I missed this when it was released a few weeks ago... probs the most unhinged crab robot out there. Love to see it. What it is: A heavy-duty construction robot that can swap tools and arms automatically during operation. Think modular platform rather than a single-purpose machine. Key specs:... show more

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29,454 просмотров • 1 год назад •via X (Twitter)

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This robot has one job and it’s really good at it. DEWALT and August Robotics have commercially launched DALE, a fleet-capable autonomous drilling robot designed specifically for data-centre construction. In a year-long pilot, it drilled more than 230,000 holes with 99.97% accuracy, worked at up to 10× the speed of traditional methods, and cut a combined 190 weeks from project schedules across 26 construction phases. Video via DEWALT and August Robotics.

This robot has one job and it’s really good at it. DEWALT and August Robotics have commercially launched DALE, a fleet-capable autonomous drilling robot designed specifically for data-centre construction. In a year-long pilot, it drilled more than 230,000 holes with 99.97% accuracy, worked at up to 10× the speed of traditional methods, and cut a combined 190 weeks from project schedules across 26 construction phases. Video via DEWALT and August Robotics.

𝐀𝐆

136,200 просмотров • 1 месяц назад

Humanoid robots are cool. But most of them aren’t ready for real-world work. X-Humanoid just launched Embodied Tien Kung 3.0 - a full-size humanoid robot built to actually operate in industrial and commercial environments. What makes it different? • Strong, high-torque joints for heavy tasks • Can move dynamically and stay stable • Handles complex motions (even over obstacles) • Millimeter-level precision for detailed work It runs on the Wise KaiWu AI platform, which allows the robot to see, think, and act in a continuous loop with less human control and support for multi-robot collaboration. It also supports ROS2, MQTT, and TCP/IP, and offers more open hardware + software interfaces to make development easier for teams. The goal is simple: make humanoid robots practical, easier to build on, and ready for real-world use. Visit: Check out the official launch video below to see what it can do! 👇 #Robotics #HumanoidRobot #AI

Humanoid robots are cool. But most of them aren’t ready for real-world work. X-Humanoid just launched Embodied Tien Kung 3.0 - a full-size humanoid robot built to actually operate in industrial and commercial environments. What makes it different? • Strong, high-torque joints for heavy tasks • Can move dynamically and stay stable • Handles complex motions (even over obstacles) • Millimeter-level precision for detailed work It runs on the Wise KaiWu AI platform, which allows the robot to see, think, and act in a continuous loop with less human control and support for multi-robot collaboration. It also supports ROS2, MQTT, and TCP/IP, and offers more open hardware + software interfaces to make development easier for teams. The goal is simple: make humanoid robots practical, easier to build on, and ready for real-world use. Visit: Check out the official launch video below to see what it can do! 👇 #Robotics #HumanoidRobot #AI

Chidanand Tripathi

69,604 просмотров • 6 месяцев назад

A versatile robot helping out airports! 🛩️ Meet a two-wheeled robot from Fraunhofer IML! 🦿 This balancing robot with gripping arms successfully completed its initial practical tests at the cargo terminal of Munich Airport a while ago. It transported goods, supported loading and unloading, and assisted with physically demanding logistics tasks. This robot can carry loads of up to 100 kg and reach speeds of around 60 km/h. That’s far beyond what most AMRs can handle, yet it still has arms and a form of mobility that lets it work in spaces designed for people. P.S. What other applications would you use this robot for?! 🦾 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

A versatile robot helping out airports! 🛩️ Meet a two-wheeled robot from Fraunhofer IML! 🦿 This balancing robot with gripping arms successfully completed its initial practical tests at the cargo terminal of Munich Airport a while ago. It transported goods, supported loading and unloading, and assisted with physically demanding logistics tasks. This robot can carry loads of up to 100 kg and reach speeds of around 60 km/h. That’s far beyond what most AMRs can handle, yet it still has arms and a form of mobility that lets it work in spaces designed for people. P.S. What other applications would you use this robot for?! 🦾 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

29,773 просмотров • 8 месяцев назад

Another American industrial humanoid robot🤖🏭 Noble Machines (formerly UCR) has just emerged from stealth mode. Launching the first humanoid robot. Founded only 18 months ago, it has already been deployed in a Fortune Global 500 factory. Teams from SpaceX, NASA, and Apple specialize in the toughest, most tiring, and most dangerous industrial tasks: >27kg heavy load >5-hour battery life >Walking speed 0.8m/s >Climbing stairs, traversing scaffolding, and navigating chaotic construction sites > Modular end effector, allowing for quick tool change. > AI-controlled operation with end-to-end autonomy; learns new skills in hours >Autonomous operation + Telep-op mode >Rapid integration with existing enterprise workflows > Human-robot collaboration

Another American industrial humanoid robot🤖🏭 Noble Machines (formerly UCR) has just emerged from stealth mode. Launching the first humanoid robot. Founded only 18 months ago, it has already been deployed in a Fortune Global 500 factory. Teams from SpaceX, NASA, and Apple specialize in the toughest, most tiring, and most dangerous industrial tasks: >27kg heavy load >5-hour battery life >Walking speed 0.8m/s >Climbing stairs, traversing scaffolding, and navigating chaotic construction sites > Modular end effector, allowing for quick tool change. > AI-controlled operation with end-to-end autonomy; learns new skills in hours >Autonomous operation + Telep-op mode >Rapid integration with existing enterprise workflows > Human-robot collaboration

CyberRobo

44,656 просмотров • 6 месяцев назад

342 skilled construction workers retire every day in the US. Use interior wall finishing as an example, you can't just hand someone a trowel and get a Level 5 wall finish. It takes years to develop that skill. This is Okibo's fully autonomous interior finishing robot that does drywall mudding, joint taping, sanding (Level 4 and 5 finishes), and spray and roller painting (the video is a sanding pass). It can reach up to 24' so it's designed for high reach in large industrial spaces (data centers, commercial, offsite manufacturing). You just swap the toolhead for a different finish application. It's an autonomous operation, vision scans the path and starts, there’s one operator overseeing the work and changing tool heads when needed. Today, it can produce 6,000 sqft/day (up to 8-10x more productive depending on the space).

342 skilled construction workers retire every day in the US. Use interior wall finishing as an example, you can't just hand someone a trowel and get a Level 5 wall finish. It takes years to develop that skill. This is Okibo's fully autonomous interior finishing robot that does drywall mudding, joint taping, sanding (Level 4 and 5 finishes), and spray and roller painting (the video is a sanding pass). It can reach up to 24' so it's designed for high reach in large industrial spaces (data centers, commercial, offsite manufacturing). You just swap the toolhead for a different finish application. It's an autonomous operation, vision scans the path and starts, there’s one operator overseeing the work and changing tool heads when needed. Today, it can produce 6,000 sqft/day (up to 8-10x more productive depending on the space).

Nick Durham

324,642 просмотров • 4 месяцев назад

The machine economy does not begin when robots get smarter. It begins when a machine can be paid to do something, and every party involved can prove what happened. Made with Fabric Foundation. Two systems meet in the middle of it: Agent Passport issues the agent a verifiable identity and a spending authority its owner defines, and RoboPay actuates a robot after the payment behind the request checks out. What happens before the robot moves: ▷ Authority is granted once, and it is bounded. The human signs a spending session with a passkey: a total budget, a per-transaction ceiling, the assets allowed, and an expiry. The agent holds no card number and no wallet key. It holds a delegation it cannot exceed. ▷ Two payments, because these are two different obligations. One settles with the merchant for the goods. A separate x402 payment pays the robot for the work of moving them. Buying a thing and hiring a machine to carry it are not the same transaction, and the receipt keeps them apart. ▷ Verification comes before motion. The request arrives with an x402 payment header. The facilitator checks the network, the price, the payee wallet, and the signed payload. Only then are the transaction details sealed onto the robot action event and the command published. Until that clears, the robot sits still. ▷ Every step leaves a receipt. Identity, scope, approval, both payments, verification, dispatch. When you need to know why a machine did something, the answer is a record rather than a guess. (This run was executed in a demo environment.) Agents have been paying for software for a while now. Paying for physical work is a harder problem, because a delivery cannot be rolled back. The guarantee has to sit in front of the action instead of behind it. Authorization before payment, payment before motion: that ordering is what makes it safe to let autonomous systems spend in the world we live in. It is also the layer the machine economy has to get right before anything else in it can work. Scoped by Kite. Verified by RoboPay. Delivered in the real world. 🪁

The machine economy does not begin when robots get smarter. It begins when a machine can be paid to do something, and every party involved can prove what happened. Made with Fabric Foundation. Two systems meet in the middle of it: Agent Passport issues the agent a verifiable identity and a spending authority its owner defines, and RoboPay actuates a robot after the payment behind the request checks out. What happens before the robot moves: ▷ Authority is granted once, and it is bounded. The human signs a spending session with a passkey: a total budget, a per-transaction ceiling, the assets allowed, and an expiry. The agent holds no card number and no wallet key. It holds a delegation it cannot exceed. ▷ Two payments, because these are two different obligations. One settles with the merchant for the goods. A separate x402 payment pays the robot for the work of moving them. Buying a thing and hiring a machine to carry it are not the same transaction, and the receipt keeps them apart. ▷ Verification comes before motion. The request arrives with an x402 payment header. The facilitator checks the network, the price, the payee wallet, and the signed payload. Only then are the transaction details sealed onto the robot action event and the command published. Until that clears, the robot sits still. ▷ Every step leaves a receipt. Identity, scope, approval, both payments, verification, dispatch. When you need to know why a machine did something, the answer is a record rather than a guess. (This run was executed in a demo environment.) Agents have been paying for software for a while now. Paying for physical work is a harder problem, because a delivery cannot be rolled back. The guarantee has to sit in front of the action instead of behind it. Authorization before payment, payment before motion: that ordering is what makes it safe to let autonomous systems spend in the world we live in. It is also the layer the machine economy has to get right before anything else in it can work. Scoped by Kite. Verified by RoboPay. Delivered in the real world. 🪁

KITE AI

35,068 просмотров • 1 месяц назад

Build robots for a better future! 🚜 The farm-ng Amiga is more than just a farm robot — it’s an open-source development platform for agricultural innovation. Developers can easily build on top of its modular design, and developer-friendly SDK. Let's review other projects that were based on the Amiga robot! → At the Alcorn State University researchers developed a robot that uses UVC light to kill crops, pests, and diseases instead of chemical pesticides. It moves through crop rows using GPS and sensors to apply light precisely without harming plants. Such a cool one! → Another great project at Carnegie Mellon University, where they have developed a robot that plants trees automatically using a three-step process—digging, placing seedlings, and tamping the soil. It uses AI and sensors to navigate and ensure successful planting. → Last but not least, at Penn State University they created a weed-removing robot. This robot detects and removes weeds in high-tunnel farms. It uses cameras to map weed locations and applies precise herbicide amounts. This reduces chemical use, and labor, and improves crop management. As you can see, potential applications in agriculture are plentiful. I encourage you - let's build robots for better and more sustainable farms! Developers unite and build together!

Build robots for a better future! 🚜 The farm-ng Amiga is more than just a farm robot — it’s an open-source development platform for agricultural innovation. Developers can easily build on top of its modular design, and developer-friendly SDK. Let's review other projects that were based on the Amiga robot! → At the Alcorn State University researchers developed a robot that uses UVC light to kill crops, pests, and diseases instead of chemical pesticides. It moves through crop rows using GPS and sensors to apply light precisely without harming plants. Such a cool one! → Another great project at Carnegie Mellon University, where they have developed a robot that plants trees automatically using a three-step process—digging, placing seedlings, and tamping the soil. It uses AI and sensors to navigate and ensure successful planting. → Last but not least, at Penn State University they created a weed-removing robot. This robot detects and removes weeds in high-tunnel farms. It uses cameras to map weed locations and applies precise herbicide amounts. This reduces chemical use, and labor, and improves crop management. As you can see, potential applications in agriculture are plentiful. I encourage you - let's build robots for better and more sustainable farms! Developers unite and build together!

Lukas Ziegler

43,275 просмотров • 1 год назад

This is what open robotics actually looks like! 🔓 I was in Bordeaux, sitting inside Pollen Robotics, and had a chance to play around with their humanoid robot Reachy 2. It’s expressive, modular, and can even bring you coffee, and of course runs Python or Rust. I was talking with Reachy in 3 different languages, tele-operating it and manipulating kitchen stuff, and make it even mimic my gestures. The best part is that there are no locked APIs, or hidden stuff, just an open platform that you can build upon. The connection with Hugging Face makes it super easy to start, as the open source approach allows everyone to contribute, experiment and add their own things. I already ordered his little brother Reachy Mini, let's see what a robotics rookie can do with that robot! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

This is what open robotics actually looks like! 🔓 I was in Bordeaux, sitting inside Pollen Robotics, and had a chance to play around with their humanoid robot Reachy 2. It’s expressive, modular, and can even bring you coffee, and of course runs Python or Rust. I was talking with Reachy in 3 different languages, tele-operating it and manipulating kitchen stuff, and make it even mimic my gestures. The best part is that there are no locked APIs, or hidden stuff, just an open platform that you can build upon. The connection with Hugging Face makes it super easy to start, as the open source approach allows everyone to contribute, experiment and add their own things. I already ordered his little brother Reachy Mini, let's see what a robotics rookie can do with that robot! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

19,433 просмотров • 7 месяцев назад

🇨🇳 It has started. A new home service in China pairs human cleaners with autonomous AI robots to tackle household chores. Residents in Shenzhen can now book a service where a human professional and an autonomous robot arrive together to clean their home. Real houses present a chaotic mess of dropped toys and random furniture that confuse traditional machines. X Square Robot and a major service platform named 58[.]com decided to tackle this chaos by launching China's first robot cleaner service in March-26. Customers use an application to hire a cleaning crew that consists of 1 human worker and 1 robot. The human takes care of the tricky chores that require complex judgment. The robot handles the repetitive physical work like picking up trash and wiping down flat surfaces. This machine runs on a system called WALL-A, which acts as a single continuous AI brain rather than a list of pre-written rules. They built this AI foundation model to perceive its surroundings and make its own decisions without human guidance. It processes visual data and plans multi-step actions. And deploying these robots into actual homes now provides the massive amounts of extremely important training data to improve it continuously. Alibaba and ByteDance backed this project. IMO, if the foundational model behind it figures out how to navigate a messy living room without getting stuck, it can learn to operate in almost any other physical environment.

🇨🇳 It has started. A new home service in China pairs human cleaners with autonomous AI robots to tackle household chores. Residents in Shenzhen can now book a service where a human professional and an autonomous robot arrive together to clean their home. Real houses present a chaotic mess of dropped toys and random furniture that confuse traditional machines. X Square Robot and a major service platform named 58[.]com decided to tackle this chaos by launching China's first robot cleaner service in March-26. Customers use an application to hire a cleaning crew that consists of 1 human worker and 1 robot. The human takes care of the tricky chores that require complex judgment. The robot handles the repetitive physical work like picking up trash and wiping down flat surfaces. This machine runs on a system called WALL-A, which acts as a single continuous AI brain rather than a list of pre-written rules. They built this AI foundation model to perceive its surroundings and make its own decisions without human guidance. It processes visual data and plans multi-step actions. And deploying these robots into actual homes now provides the massive amounts of extremely important training data to improve it continuously. Alibaba and ByteDance backed this project. IMO, if the foundational model behind it figures out how to navigate a messy living room without getting stuck, it can learn to operate in almost any other physical environment.

Rohan Paul

53,039 просмотров • 5 месяцев назад

A robot that works with 1 to 6 legs? This reconfigurable robot adapts like a spider, switching between different movement styles on the fly. SnapBot isn’t just a legged robot: it’s a shape-shifting machine. With up to 700 configurations, it can walk, crawl, or row its way through any terrain. Why this is exciting: ✅ Changes its setup from one to six legs for different tasks ✅ Moves in multiple ways, including walking, rowing, and crawling ✅ Adapts to its environment like nature’s best climbers and crawlers ✅ A step toward robots that adjust to real-world challenges instantly Nature-inspired robotics is unlocking new ways to move. SnapBot proves that flexibility is key to the future of locomotion.

A robot that works with 1 to 6 legs? This reconfigurable robot adapts like a spider, switching between different movement styles on the fly. SnapBot isn’t just a legged robot: it’s a shape-shifting machine. With up to 700 configurations, it can walk, crawl, or row its way through any terrain. Why this is exciting: ✅ Changes its setup from one to six legs for different tasks ✅ Moves in multiple ways, including walking, rowing, and crawling ✅ Adapts to its environment like nature’s best climbers and crawlers ✅ A step toward robots that adjust to real-world challenges instantly Nature-inspired robotics is unlocking new ways to move. SnapBot proves that flexibility is key to the future of locomotion.

Ilir Aliu

78,036 просмотров • 1 год назад

NVIDIA MotionBricks brings humanoid robots closer to natural, fluid movement The system combines a modular latent generative model with Smart Primitives, packing more than 350,000 motion skills into a single backbone. It runs in real time at up to 15,000 FPS with just 2ms latency. Navigation, object interaction, sitting, jumping, obstacle crossing, and even different movement styles can be composed zero-shot, like reusable motion modules. It is already being used for whole-body control on the Unitree G1 and serves as the motion layer for NVIDIA GR00T Whole-Body Control. What makes this interesting is the move from training individual behaviors toward building a shared library of motion capabilities. If that approach scales, robot movement could become more modular, transferable, and easier to deploy across different tasks and environments.

NVIDIA MotionBricks brings humanoid robots closer to natural, fluid movement The system combines a modular latent generative model with Smart Primitives, packing more than 350,000 motion skills into a single backbone. It runs in real time at up to 15,000 FPS with just 2ms latency. Navigation, object interaction, sitting, jumping, obstacle crossing, and even different movement styles can be composed zero-shot, like reusable motion modules. It is already being used for whole-body control on the Unitree G1 and serves as the motion layer for NVIDIA GR00T Whole-Body Control. What makes this interesting is the move from training individual behaviors toward building a shared library of motion capabilities. If that approach scales, robot movement could become more modular, transferable, and easier to deploy across different tasks and environments.

CyberRobo

11,089 просмотров • 2 месяцев назад

ELON MUSK: "We’ll probably unveil Optimus Gen 3 in a few months. I think it’s going to be quite surprising to people it’s an incredibly capable robot We are replacing the SX line in Fremont with a million-unit-per-year line for Optimus Because it is a completely new supply chain, there’s really nothing from existing supply chains that exists in Optimus; everything is designed from physics first principles The normal S-curve of manufacturing ramp will be longer for Optimus than it is for products that have at least some portion of an existing supply chain The production rate will be proportionate to the least lucky, least confident part of the entire supply chain Optimus 3 will be a general-purpose robot that can learn by observing human behavior. You can demonstrate a task, verbally describe it, or show it a video, and it will be able to perform that task. It’s going to be a very capable robot."

ELON MUSK: "We’ll probably unveil Optimus Gen 3 in a few months. I think it’s going to be quite surprising to people it’s an incredibly capable robot We are replacing the SX line in Fremont with a million-unit-per-year line for Optimus Because it is a completely new supply chain, there’s really nothing from existing supply chains that exists in Optimus; everything is designed from physics first principles The normal S-curve of manufacturing ramp will be longer for Optimus than it is for products that have at least some portion of an existing supply chain The production rate will be proportionate to the least lucky, least confident part of the entire supply chain Optimus 3 will be a general-purpose robot that can learn by observing human behavior. You can demonstrate a task, verbally describe it, or show it a video, and it will be able to perform that task. It’s going to be a very capable robot."

X Freeze

205,005 просмотров • 7 месяцев назад

What if a dexterous robot could learn a 20+ step chemistry experiment without a single on-robot training demo? Meet TwinDEX: a pair of co-designed, three-finger, nine-DoF dexterous manipulation interface: one wearable for data collection, one for robot deployment. The twinned design shares identical kinematics, contact surfaces, visual appearance, and sensors across collection and deployment — keeping observations and actions aligned end to end. Trained from scratch on only a few hundred wearable demonstrations - with zero on-robot training or intervention data - TwinDEX completed a standardized chemistry experiment involving tool switches, fine force control, and bimanual coordination. Robot-free data showed comparable learning efficiency on the multi-task evaluation, TwinDEX delivered 5.3 times effective throughput than on-robot teleoperation. TwinDEX demonstrates that high-quality robot-free data can fully substitute for on-robot teleoperation data on challenging dexterous tasks — removing the dependency on real-robot hardware that has been the central bottleneck to scaling dexterous manipulation data. This was the proof-it phase. Now comes scale: what emerges at tens of thousands, or millions, of episodes? Watch the demo and read the technical blog: #TwinDEX #Robotics #EmbodiedAI #DexterousManipulation

What if a dexterous robot could learn a 20+ step chemistry experiment without a single on-robot training demo? Meet TwinDEX: a pair of co-designed, three-finger, nine-DoF dexterous manipulation interface: one wearable for data collection, one for robot deployment. The twinned design shares identical kinematics, contact surfaces, visual appearance, and sensors across collection and deployment — keeping observations and actions aligned end to end. Trained from scratch on only a few hundred wearable demonstrations - with zero on-robot training or intervention data - TwinDEX completed a standardized chemistry experiment involving tool switches, fine force control, and bimanual coordination. Robot-free data showed comparable learning efficiency on the multi-task evaluation, TwinDEX delivered 5.3 times effective throughput than on-robot teleoperation. TwinDEX demonstrates that high-quality robot-free data can fully substitute for on-robot teleoperation data on challenging dexterous tasks — removing the dependency on real-robot hardware that has been the central bottleneck to scaling dexterous manipulation data. This was the proof-it phase. Now comes scale: what emerges at tens of thousands, or millions, of episodes? Watch the demo and read the technical blog: #TwinDEX #Robotics #EmbodiedAI #DexterousManipulation

X Square Robot

1,320,678 просмотров • 1 день назад

🚨 A SAN FRANCISCO ENGINEER HIRED A ROBOT TO CLEAN HER HOUSE — AND STARTED AN INTERNET WAR A software engineer in San Francisco hired a robot to clean her home and the comments split in half instantly. One side made fun of the robot for being terrible at the job. The other side attacked her for taking work from a real person and handing it to a machine. Then she clapped back. The robot is not autonomous. A human is on the other end remotely operating it and getting paid. That person just doesn’t have to sit in traffic, park, haul supplies, or walk into a stranger’s house. They clean from home. She said she still uses a regular human cleaner too. This was an experiment. And she doesn’t get why people acted like she deleted an entire job when a person is still doing the work. Would you let a remotely operated robot clean your house… or is this the first step toward replacing every service worker in America?

🚨 A SAN FRANCISCO ENGINEER HIRED A ROBOT TO CLEAN HER HOUSE — AND STARTED AN INTERNET WAR A software engineer in San Francisco hired a robot to clean her home and the comments split in half instantly. One side made fun of the robot for being terrible at the job. The other side attacked her for taking work from a real person and handing it to a machine. Then she clapped back. The robot is not autonomous. A human is on the other end remotely operating it and getting paid. That person just doesn’t have to sit in traffic, park, haul supplies, or walk into a stranger’s house. They clean from home. She said she still uses a regular human cleaner too. This was an experiment. And she doesn’t get why people acted like she deleted an entire job when a person is still doing the work. Would you let a remotely operated robot clean your house… or is this the first step toward replacing every service worker in America?

HustleBitch

12,501 просмотров • 8 дней назад

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

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

Lukas Ziegler

14,396 просмотров • 6 месяцев назад

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

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

Ilir Aliu

46,285 просмотров • 1 год назад

So Matic Robots offered to send me their new vision-only robot vacuum/mop. I saw the Shopify CEO post about it on X, so I figured, why not. For a brand-new company that just started shipping a few months ago, it's actually a pretty great product. Here's my short review: Things I like: • It's quiet, really quiet. I've been using a Roomba J7+ robot vacuum for a few years and the Matic is MUCH quieter. You can easily have a convo with it on next to you. • Because the robot is vision-only, when it maps your house, you get color data/almost 3D map. • Its wheels are big, which means it can traverse areas much more easily than smaller robots with tiny wheels. • The app is great. Easy to use and intuitive. Much better than the iRobot app. • It handles hair better than my Roomba. Hair always gets wound up on the edge-sweeping brushes on the Roomba. • You can control the robot from your phone like a little remote control car with precise control. • It does a good job of detecting objects like wires • Doesn't constantly bump into things like my Roomba •The unboxing experience is the best of any robot vacuum. They even displayed my and my wife's names on the screen as it rolled out of the box lol. Things I think can improve: • It can sometimes take a little while longer to vacuum than the Roomba, but that's improving over time • It's a tall robot, and while the extended vacuum arm is cool, it can't go under certain furniture or tables that my Roomba can. I think toe kick cleaning is coming soon via software update tho? • The robot mops up backwards. This means some of what you spilled could get on the wheels, which can get messy. Although, some competitors do this too. • This is a pro or con depending on the person: The robot has a HEPA filter bag, as well as the water tank, integrated directly into the robot itself. This means there isn't a large base station it needs to dock at and empty. But this results in you having to throw away more bags than you'd probably like. The bags only cost $2.50 each (vs $6 for Roomba), which is pretty cheap. Ideal solution would be something more reusable. I'd also love to have a live camera feed so I can see what it sees while cleaning. The Robot vacuum/mop costs $1,095. Overall, it's a cool product. Improves on many things that other vacuums don't do well/are annoying. While this is a first-gen product, it's a great first iteration, and it feels pretty polished. Nice work Mehul. Note: Matic didn't pay me. I don't have a referral/affiliate link. They aren't an account sponsor. They just sent me the robot. Ok, back to EV news lol.

Sawyer Merritt

60,188 просмотров • 1 год назад