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A pentagon robot! 🖐🏽 This robot comes from a Taiwanese startup that was launched at Royal Holloway, University of London. 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... show more

Lukas Ziegler

55,807 subscribers

93,017 görüntüleme • 1 yıl önce •via X (Twitter)

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Damian profil fotoğrafı

Damian1 yıl önce

@fishPointer

VistaShares profil fotoğrafı

VistaShares1 yıl önce

AIS provides exposure to companies at the forefront of artificial intelligence—spanning semiconductors, data centers, and AI-enabled applications. Consider how AIS may align with your investment strategy.

T profil fotoğrafı

T1 yıl önce

Another advantage is the end effector can pass directly through what would be the cylindrical axis/body of a SCARA robot base. slick!

Jack 🤖 profil fotoğrafı

Jack 🤖1 yıl önce

Love the simplicity of this design

QuriousMr profil fotoğrafı

QuriousMr1 yıl önce

Great for sorting ping ping balls in readiness for Beer pong, must get one! :-) is it on Amazon or AliExpress yet?

SamS profil fotoğrafı

SamS1 yıl önce

Very cool bot

Woodbury profil fotoğrafı

Woodbury1 yıl önce

not really, if you separated those two arms the individual loss in moving one ball (ms scale) will be greatly improved by parallelism, and also reduce the risk of complete failure. this is stupid.

Mauricio-- profil fotoğrafı

Mauricio--1 yıl önce

How would it scale under different weights? (Can this type of design in a larger setting, hold weight?)

Pontus Bergsten profil fotoğrafı

Pontus Bergsten1 yıl önce

Five-bar linkage. Tricky kinematics!

Matté Lacchiato 🇳🇫🇻🇳 profil fotoğrafı

Matté Lacchiato 🇳🇫🇻🇳1 yıl önce

Holy moly, they invented a pick and place machine for ping-pong balls!

Ralphie Raccoon profil fotoğrafı

Ralphie Raccoon1 yıl önce

It's as five bar linkage, not unknown in robotics but generally simpler linear chains are preferred.

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NEO robot achieves “almost human-like” hand dexterity The Norwegian-American startup 1X has demonstrated new capabilities of its humanoid robot NEO — it has learned to perform fine motor tasks at a level close to humans. The robot can assemble Lego, eat chips, play video games, screw in a light bulb, pick a grape, and carefully hold a wine glass. Previously, one of the biggest challenges for robots was handling small objects — they struggled to understand how much force was needed to grip them. NEO solves this problem with cable-driven actuators and a force-control system: each joint moves the finger while simultaneously measuring pressure. The developers believe these technologies could become an important step toward the creation of universal home robots.

NEXTA

47,071 görüntüleme • 2 ay önce

All right, who wants a robot worm? 🪱 Researchers at Case Western Reserve University developed a robot inspired by earthworms. Worms move by using wave-like muscle contractions called peristalsis. This version of the worm-inspired robot has a flexible outer mesh that can continuously change shape. Using this mesh, the robot's fixed parts can move smoothly between each other, providing power and control. This project is referred to as a "soft hyper-redundant robot," due to its highly flexible nature and ability to adapt to various environments. This design could prove useful in scenarios where traditional rigid robots struggle, such as navigating tight spaces or uneven terrain. Please let me know what your thoughts are! 👀 🔔 Hit the bell on my profile to never miss a robot story!

Lukas Ziegler

24,755 görüntüleme • 1 yıl önce

Another home-use humanoid robot The cute and friendly Onero H1 comes from Switchbot. It looks like a wheeled humanoid robot that grew out of a robotic vacuum cleaner base. It can perform tasks such as making coffee, doing laundry, folding clothes, tidying up, and acting as a life assistant. Its embedded OmniSense VLA model allows it to adapt to complex household tasks. Notably, smart home brands such as LG, Samsung, Haier, Midea, and Xiaomi are all launching home-use humanoid robots, marking a new stage in smart home living.

Another home-use humanoid robot The cute and friendly Onero H1 comes from Switchbot. It looks like a wheeled humanoid robot that grew out of a robotic vacuum cleaner base. It can perform tasks such as making coffee, doing laundry, folding clothes, tidying up, and acting as a life assistant. Its embedded OmniSense VLA model allows it to adapt to complex household tasks. Notably, smart home brands such as LG, Samsung, Haier, Midea, and Xiaomi are all launching home-use humanoid robots, marking a new stage in smart home living.

CyberRobo

21,147 görüntüleme • 8 ay önce

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 →

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

21,042 görüntüleme • 7 ay önce

A new member joins the European humanoid robot team. German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world. It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities. Soon, Europe will enter its second wave of automation driven by intelligent technology.

A new member joins the European humanoid robot team. German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world. It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities. Soon, Europe will enter its second wave of automation driven by intelligent technology.

CyberRobo

72,567 görüntüleme • 10 ay önce

China’s traffic-robot isn’t the point. The point is this: Robots in China are evolving the way smartphones did: quietly, rapidly, and everywhere at once. While the West is still debating “AI ethics” like it’s a philosophy seminar, China is already turning robots into: • street officers • delivery workers • cleaners • inspectors • hospital assistants • public-service infrastructure Not because it’s “cool,” but because the cost, governance, and scale actually make deployment possible. Meanwhile in America, the country that should be using robots in law enforcement, even the idea is taboo. And let’s be honest: A robot wouldn’t shoot someone because of their skin color. A robot wouldn’t choke a man over a broken taillight. A robot wouldn’t fire 30 rounds because it “felt threatened.” A robot doesn’t vote, doesn’t join a party, and doesn’t turn policing into a frontline of political tribalism. For all the Western talk about “AI ethics,” it’s China where robots enter public service, and the US where humans with guns still behave like malfunctioning algorithms. The future won’t belong to the countries that talk the most about technology, but to those that can actually use it to make society safer instead of bloodier. Robots won’t replace humans, they’ll just replace the parts of humanity that should’ve been retired long ago.

China’s traffic-robot isn’t the point. The point is this: Robots in China are evolving the way smartphones did: quietly, rapidly, and everywhere at once. While the West is still debating “AI ethics” like it’s a philosophy seminar, China is already turning robots into: • street officers • delivery workers • cleaners • inspectors • hospital assistants • public-service infrastructure Not because it’s “cool,” but because the cost, governance, and scale actually make deployment possible. Meanwhile in America, the country that should be using robots in law enforcement, even the idea is taboo. And let’s be honest: A robot wouldn’t shoot someone because of their skin color. A robot wouldn’t choke a man over a broken taillight. A robot wouldn’t fire 30 rounds because it “felt threatened.” A robot doesn’t vote, doesn’t join a party, and doesn’t turn policing into a frontline of political tribalism. For all the Western talk about “AI ethics,” it’s China where robots enter public service, and the US where humans with guns still behave like malfunctioning algorithms. The future won’t belong to the countries that talk the most about technology, but to those that can actually use it to make society safer instead of bloodier. Robots won’t replace humans, they’ll just replace the parts of humanity that should’ve been retired long ago.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

15,065 görüntüleme • 8 ay önce

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 →

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 görüntüleme • 7 ay önce

Another robot from Disney! 🕺🏻 Just look at this dancing fella created by Disney Research. Creating control policies that work on real robots and handling diverse, unseen motions in physics-based character control is still difficult. The Disney team proposes a two-state solution. The first step involves learning a latent space encoding with an autoencoder. After encoding, the policy is trained to map kinematic input to dynamic output, ensuring accurate and adaptable movement. This method eliminates common mode collapse issues and improves motion encoding by separating these stages. This technique has proven effective in real robots in simulations, marking a significant leap forward in robot control. Can't wait for it in action live in 2025 :) ~~~ RT to help 1 robot find a new workplace.

Another robot from Disney! 🕺🏻 Just look at this dancing fella created by Disney Research. Creating control policies that work on real robots and handling diverse, unseen motions in physics-based character control is still difficult. The Disney team proposes a two-state solution. The first step involves learning a latent space encoding with an autoencoder. After encoding, the policy is trained to map kinematic input to dynamic output, ensuring accurate and adaptable movement. This method eliminates common mode collapse issues and improves motion encoding by separating these stages. This technique has proven effective in real robots in simulations, marking a significant leap forward in robot control. Can't wait for it in action live in 2025 :) ~~~ RT to help 1 robot find a new workplace.

Lukas Ziegler

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