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Smart mapping for robots exploring huge areas! 🗺️ This is called Rolling-Bonxai. When a drone or ground robot maps a massive area, say a whole city or massive warehouse, storing the entire map in memory gets expensive fast. You run out of RAM. This solution is simple, only keep...

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Lukas Ziegler

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15,540 просмотров • 17 дней назад •via X (Twitter)

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Rope climbing robots! 🪢 One objective, multiple approaches to achieve it. Back in 2017 undergraduates from Mechanical Science and Engineering at the University of Illinois utilized many mechanical strategies and tools to create a full menagerie of rope-climbing robots. Amazing creativity and uniqueness of each solution. Which robot is your favorite? Personally, I would say the one at the end dressed as a monkey! 🦍 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:15

Rope climbing robots! 🪢 One objective, multiple approaches to achieve it. Back in 2017 undergraduates from Mechanical Science and Engineering at the University of Illinois utilized many mechanical strategies and tools to create a full menagerie of rope-climbing robots. Amazing creativity and uniqueness of each solution. Which robot is your favorite? Personally, I would say the one at the end dressed as a monkey! 🦍 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

13,056 просмотров • 5 месяцев назад

Robotics doesn't need to be boring! 😴 Just imagine, you're an only child, you have no one to play football with. Then this fella comes in and you can train your dribbling skills as long as you want (or as long as the battery lasts). Anyway, pretty awesome robot for non-industrial use. Robots can be seen as companions! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Robotics doesn't need to be boring! 😴 Just imagine, you're an only child, you have no one to play football with. Then this fella comes in and you can train your dribbling skills as long as you want (or as long as the battery lasts). Anyway, pretty awesome robot for non-industrial use. Robots can be seen as companions! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

263,015 просмотров • 7 месяцев назад

The robot is used to inspect the walls of ships. 🚢 The Magnet Crawler introduced by the University of Bremen is a lightweight and compact climbing robot for magnetic surfaces. The robot has two magnetic wheels driven by geared motors and an elastic tail to improve stability. In the front part of the robot, there is a miniature wireless camera. The robot is remotely teleoperated & the video signal from the camera is displayed to the operator on a portable screen. Let's wait and perhaps the robot will become more autonomous over time. Big fan of robots that make the world a safer place for humans. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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The robot is used to inspect the walls of ships. 🚢 The Magnet Crawler introduced by the University of Bremen is a lightweight and compact climbing robot for magnetic surfaces. The robot has two magnetic wheels driven by geared motors and an elastic tail to improve stability. In the front part of the robot, there is a miniature wireless camera. The robot is remotely teleoperated & the video signal from the camera is displayed to the operator on a portable screen. Let's wait and perhaps the robot will become more autonomous over time. Big fan of robots that make the world a safer place for humans. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

21,587 просмотров • 1 месяц 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 →
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 просмотров • 5 месяцев назад

A pentagon robot! 🖐🏽 Compared to typical SCARA models, it delivers higher speed, improved stability, better space efficiency, and can operate smoothly in tight areas, even through singularity positions. These robots are a good fit for handling complex tasks in challenging environments where conventional robots often fall short. Have you ever seen a robot like this? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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A pentagon robot! 🖐🏽 Compared to typical SCARA models, it delivers higher speed, improved stability, better space efficiency, and can operate smoothly in tight areas, even through singularity positions. These robots are a good fit for handling complex tasks in challenging environments where conventional robots often fall short. Have you ever seen a robot like this? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

42,565 просмотров • 4 месяцев назад

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

Lukas Ziegler

49,656 просмотров • 8 дней назад

Cache is back in CS2, and this is exactly how you make a Counter-Strike map. They completely remade the map from the ground up, absolutely nothing remains from the version from the workshop. Gameplay on the new cache is very clean and smooth without too much physical or visual clutter. Many of the more complicated props have been replaced with simple boxes, such as the box on forklift in A site. There are a few clipping issues with props and walls, but I imagine these will get sorted out over time. The visual fidelity is amazing without sacrificing performance. This will be a very easy map to learn and play, as there isn't very much complexity at all. Many of the features we all kinda hated are gone, such as the window at Z connector mid, new box, and the railing at highway. If they remove a map for this, it should be a simple 4 square map, otherwise the map pool is going to get too filled with easy maps. Remember when we got like... NO updates. Now I'm getting exhausted covering all of this week after week. THANK GOODNESS.
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Cache is back in CS2, and this is exactly how you make a Counter-Strike map. They completely remade the map from the ground up, absolutely nothing remains from the version from the workshop. Gameplay on the new cache is very clean and smooth without too much physical or visual clutter. Many of the more complicated props have been replaced with simple boxes, such as the box on forklift in A site. There are a few clipping issues with props and walls, but I imagine these will get sorted out over time. The visual fidelity is amazing without sacrificing performance. This will be a very easy map to learn and play, as there isn't very much complexity at all. Many of the features we all kinda hated are gone, such as the window at Z connector mid, new box, and the railing at highway. If they remove a map for this, it should be a simple 4 square map, otherwise the map pool is going to get too filled with easy maps. Remember when we got like... NO updates. Now I'm getting exhausted covering all of this week after week. THANK GOODNESS.

WarOwl

366,047 просмотров • 2 месяцев назад

SkildAI, which is developing a foundational AI model for robots, has released a new video of their humanoid robot walking over objects and exploring environments it had never seen before. The robot is using vision & adapts in real time. SkildAI: "From raw images and joint feedback, the model directly outputs low-level motor commands. This single neural network enables humanoid robots to seamlessly walk across flat ground, climb stairs, and step over obstacles without any planning, mapping, or manual switching between behaviors. For all of our testing in this video, we deployed the robot in each new environment without any prior planning or mapping. We took off the humanoid’s shoes so you can hear it.
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SkildAI, which is developing a foundational AI model for robots, has released a new video of their humanoid robot walking over objects and exploring environments it had never seen before. The robot is using vision & adapts in real time. SkildAI: "From raw images and joint feedback, the model directly outputs low-level motor commands. This single neural network enables humanoid robots to seamlessly walk across flat ground, climb stairs, and step over obstacles without any planning, mapping, or manual switching between behaviors. For all of our testing in this video, we deployed the robot in each new environment without any prior planning or mapping. We took off the humanoid’s shoes so you can hear it.

Sawyer Merritt

69,297 просмотров • 11 месяцев назад

A robot snake for the rescue! 🛟 Mechanum wheels, reconfigurable shape, camera set. These robots were developed by researchers at The University of Manchester. This machine is called MIRRAX-150, and it performs inspections as well as explorations. To map 3D point clouds, this machine uses low-cost components, 3D printing, and LiDAR technology. 🧭 Soon, this robot will be deployed on the Sellafield nuclear power station. Basically, it's a snake that changes its body! P.S. What use cases would fit these robots? 🐍 ~~~ ♻️ RT to help 1 robot find a new workplace.
0:31

A robot snake for the rescue! 🛟 Mechanum wheels, reconfigurable shape, camera set. These robots were developed by researchers at The University of Manchester. This machine is called MIRRAX-150, and it performs inspections as well as explorations. To map 3D point clouds, this machine uses low-cost components, 3D printing, and LiDAR technology. 🧭 Soon, this robot will be deployed on the Sellafield nuclear power station. Basically, it's a snake that changes its body! P.S. What use cases would fit these robots? 🐍 ~~~ ♻️ RT to help 1 robot find a new workplace.

Lukas Ziegler

15,113 просмотров • 1 год назад

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.
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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

21,376 просмотров • 4 месяцев назад

Another win for open-source robotics! 🔥 Hugging Face just released a fully open-source humanoid robot, and you can build one for $2,500. I'm a huge advocate of open-source in robotics space. Why? Robotics is too hard to solve alone. So lowering the entry point is crucial. Also, ROS proved open ecosystems create lasting industry standards. So let's have a look at the new member of humanoids family! LeRobot Humanoid is a 3D-printed, bipedal humanoid platform designed for real robot learning experiments. It's a complete and, buildable robot Anddddd yes, it's a full stack release: → Hardware files, bill of materials and full assembly documentation → Simulation assets and training environments → Runtime tools for calibration and real-world control → Sim-to-real identification pipeline When a part breaks, reprint it. When a design choice doesn't work, modify it and test again. The whole point is fast iteration on real hardware, not treating the robot as a fixed artefact. The timing is not a coincidence. As foundation models for robotics mature, the field desperately needs open physical platforms to train, validate and deploy them on. clem 🤗 LET'S GO!!! Build it here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:20

Another win for open-source robotics! 🔥 Hugging Face just released a fully open-source humanoid robot, and you can build one for $2,500. I'm a huge advocate of open-source in robotics space. Why? Robotics is too hard to solve alone. So lowering the entry point is crucial. Also, ROS proved open ecosystems create lasting industry standards. So let's have a look at the new member of humanoids family! LeRobot Humanoid is a 3D-printed, bipedal humanoid platform designed for real robot learning experiments. It's a complete and, buildable robot Anddddd yes, it's a full stack release: → Hardware files, bill of materials and full assembly documentation → Simulation assets and training environments → Runtime tools for calibration and real-world control → Sim-to-real identification pipeline When a part breaks, reprint it. When a design choice doesn't work, modify it and test again. The whole point is fast iteration on real hardware, not treating the robot as a fixed artefact. The timing is not a coincidence. As foundation models for robotics mature, the field desperately needs open physical platforms to train, validate and deploy them on. clem 🤗 LET'S GO!!! Build it here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

20,361 просмотров • 2 месяцев назад

Turning video into humanoid robot motion! 🤳🏼 Training humanoid robots needs huge amounts of motion data, but real-world capture doesn’t scale. Mocap is expensive, dangerous edge cases are rare, and you can’t ask humans to repeatedly fall or crash. Video2Robot tackles this by converting videos into physics-grounded humanoid simulations. Motion is generated to respect balance, inertia, ground contact, and joint limits, then directly retargeted to robot simulators. One prompt can generate a full humanoid motion sequence, including multi-agent interactions and failure cases like falls or collisions, scenarios that are hard or impossible to capture safely in the real world. The pipeline is model-agnostic and works with existing video generators, making it a practical way to scale data for robots. If robots are going to operate in the real world, they need to be trained on the failures too, not just the perfect demos. Here's the GitHub: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:26

Turning video into humanoid robot motion! 🤳🏼 Training humanoid robots needs huge amounts of motion data, but real-world capture doesn’t scale. Mocap is expensive, dangerous edge cases are rare, and you can’t ask humans to repeatedly fall or crash. Video2Robot tackles this by converting videos into physics-grounded humanoid simulations. Motion is generated to respect balance, inertia, ground contact, and joint limits, then directly retargeted to robot simulators. One prompt can generate a full humanoid motion sequence, including multi-agent interactions and failure cases like falls or collisions, scenarios that are hard or impossible to capture safely in the real world. The pipeline is model-agnostic and works with existing video generators, making it a practical way to scale data for robots. If robots are going to operate in the real world, they need to be trained on the failures too, not just the perfect demos. Here's the GitHub: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

59,708 просмотров • 7 месяцев назад

🚨 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 просмотров • 1 год назад

Texas HC Steve Sarkisian - Top Scheme Addition From Coaching in the NFL (Play Action) - "I think the value of the play action pass. I really felt like college football had gotten into a world of shotgun run game with RPOs. And then if it wasn't that, it was just dropback pass, get in empty, spread people out and throw the ball around." - "I do think there is a lot of value in the play action pass. Because it's a lot easier to score when you get yards in chunks, when you create explosive plays. And one of the ways we brought back from the NFL was the play action pass."
0:53

Texas HC Steve Sarkisian - Top Scheme Addition From Coaching in the NFL (Play Action) - "I think the value of the play action pass. I really felt like college football had gotten into a world of shotgun run game with RPOs. And then if it wasn't that, it was just dropback pass, get in empty, spread people out and throw the ball around." - "I do think there is a lot of value in the play action pass. Because it's a lot easier to score when you get yards in chunks, when you create explosive plays. And one of the ways we brought back from the NFL was the play action pass."

James Light

56,170 просмотров • 3 месяцев назад

We witnessed the raw power of nature yesterday just south of Seward Alaska! It was incredible to watch this massive glacier calving, sending a huge wave through the water. Absolutely breathtaking to see firsthand. Glacial calving is a natural process where large chunks of ice break off from the edge of a glacier. This typically happens at the “terminus” or snout, where the glacier meets the sea, a lake, or even dry land. When these massive pieces of ice fall into the water, they become icebergs, or in smaller pieces, “growlers” or “bergy bits.” The process is primarily driven by gravity and the movement of the glacier itself. As a glacier flows—acting like a slow-moving river of ice—it experiences immense internal stress. When it reaches a point where it is no longer supported by land or where it extends out over the water, the ice becomes unstable. Cracks called crevasses form in the ice, and when these cracks penetrate deep enough, a section of the ice can no longer hold its own weight and snaps off, crashing down with incredible force. Calving is a dynamic and loud phenomenon that often triggers significant waves. It is a normal part of a glacier’s life cycle, and very common in the warmer summer months.
0:30

We witnessed the raw power of nature yesterday just south of Seward Alaska! It was incredible to watch this massive glacier calving, sending a huge wave through the water. Absolutely breathtaking to see firsthand. Glacial calving is a natural process where large chunks of ice break off from the edge of a glacier. This typically happens at the “terminus” or snout, where the glacier meets the sea, a lake, or even dry land. When these massive pieces of ice fall into the water, they become icebergs, or in smaller pieces, “growlers” or “bergy bits.” The process is primarily driven by gravity and the movement of the glacier itself. As a glacier flows—acting like a slow-moving river of ice—it experiences immense internal stress. When it reaches a point where it is no longer supported by land or where it extends out over the water, the ice becomes unstable. Cracks called crevasses form in the ice, and when these cracks penetrate deep enough, a section of the ice can no longer hold its own weight and snaps off, crashing down with incredible force. Calving is a dynamic and loud phenomenon that often triggers significant waves. It is a normal part of a glacier’s life cycle, and very common in the warmer summer months.

James Spann

62,117 просмотров • 1 месяц назад

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

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

Lukas Ziegler

1,803,076 просмотров • 2 месяцев назад

The vlog from Pollen Robotics is out! A fantastic visit in Bordeaux to see myself one of the only European humanoids companies. I visited their HQ and saw how they build and test robots. It's great to see the open source approach that is getting more and more people involved in robotics. True democratization of robotics (thanks clem 🤗, and Hugging Face)! Here's the link to the vlog: Thanks for such a warm welcome Reachy team!💛 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:30

The vlog from Pollen Robotics is out! A fantastic visit in Bordeaux to see myself one of the only European humanoids companies. I visited their HQ and saw how they build and test robots. It's great to see the open source approach that is getting more and more people involved in robotics. True democratization of robotics (thanks clem 🤗, and Hugging Face)! Here's the link to the vlog: Thanks for such a warm welcome Reachy team!💛 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

10,365 просмотров • 7 месяцев назад

Finally, someone automating the boring infrastructure stuff! 🫟 Road markings is tough. Nobody cares about them until they're gone. Then suddenly everyone's mad. But someone has to paint those lines, in traffic, in bad weather, repetitively. So 10LINES built a robot that just... does it. Workers don't have to stand in live traffic anymore. Digital mapping. Data-driven operations. The robot knows what it painted and where. Quite productive I would say :) This is the stuff nobody talks about in robotics. Not sexy like other embodiements, but a robot handling infrastructure work that's dangerous and tedious. Roads, parking lots, tunnels, all need this. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:32

Finally, someone automating the boring infrastructure stuff! 🫟 Road markings is tough. Nobody cares about them until they're gone. Then suddenly everyone's mad. But someone has to paint those lines, in traffic, in bad weather, repetitively. So 10LINES built a robot that just... does it. Workers don't have to stand in live traffic anymore. Digital mapping. Data-driven operations. The robot knows what it painted and where. Quite productive I would say :) This is the stuff nobody talks about in robotics. Not sexy like other embodiements, but a robot handling infrastructure work that's dangerous and tedious. Roads, parking lots, tunnels, all need this. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

34,653 просмотров • 18 дней назад

This robot is playing Tetris! 🧊 AGILOX dropped something exciting at LogiMAT. One of the most requested robot use cases finally automated: Manual truck loading. What I'm really impressed of is the high precision positioning of pallets directly next to the truck or container wall. It's 2026 and I love that fact that AMR companies are not just moving goods from A to B anymore, but they innovate and look for more value-adding tasks across logistics sites and manufacturing plants! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:28

This robot is playing Tetris! 🧊 AGILOX dropped something exciting at LogiMAT. One of the most requested robot use cases finally automated: Manual truck loading. What I'm really impressed of is the high precision positioning of pallets directly next to the truck or container wall. It's 2026 and I love that fact that AMR companies are not just moving goods from A to B anymore, but they innovate and look for more value-adding tasks across logistics sites and manufacturing plants! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

11,998 просмотров • 3 месяцев назад

This robot explores the world like a mouse! 🐁 That's an OG project, guess the year ;) A mouse-inspired bot called WhiskEye travels the world with 24 artificial whiskers and spiking neurons that mimic a nervous system. Recognizing familiar places is essential for engineering applications like robot navigation, where interactions with the real world are key. Combining information from multiple senses helps to make better accuracy and robustness, but challenges like mismatched data and sensor errors complicate this process. Inspired by how animals navigate seamlessly, researchers developed predictive coding, a self-supervised learning method based on the brain's visual cortex model. It combines visual and tactile cues from a robot, outperforming existing methods in recognizing places, even when some sensors fail. What a great project from BristolRoboticsLab and Sheffield Robotics! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:34

This robot explores the world like a mouse! 🐁 That's an OG project, guess the year ;) A mouse-inspired bot called WhiskEye travels the world with 24 artificial whiskers and spiking neurons that mimic a nervous system. Recognizing familiar places is essential for engineering applications like robot navigation, where interactions with the real world are key. Combining information from multiple senses helps to make better accuracy and robustness, but challenges like mismatched data and sensor errors complicate this process. Inspired by how animals navigate seamlessly, researchers developed predictive coding, a self-supervised learning method based on the brain's visual cortex model. It combines visual and tactile cues from a robot, outperforming existing methods in recognizing places, even when some sensors fail. What a great project from BristolRoboticsLab and Sheffield Robotics! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

36,775 просмотров • 6 месяцев назад