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A science fiction level breakthrough. MIT’s electrohydraulic fiber muscles bring robotic actuation closer to a biological level. A strand measuring only 2 millimeters in diameter has the same power density as human skeletal muscle. A 22-gram fiber bundle can lift 4 kilograms roughly 200 times its own weight. It...

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Techniahqrobot | humanoid robots

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This is WILD! MIT just solved one of the hardest unsolved problems in robotics (Save this). For decades, the fundamental problem with soft robots and wearable exoskeletons has not been compute or AI, it has been actuation. The moment you try to give a soft robot meaningful strength, you run into the same wall every engineer has hit since the field began, fluid-driven systems require external pumps, hydraulic reservoirs, and heavy infrastructure that makes the entire thing impractical to wear or embed into fabric. MIT's new Electrofluidic Fiber Muscles solve that problem by eliminating external infrastructure entirely. The key insight is electrohydrodynamic pumping using electric fields to generate pressure directly from electricity, with no moving parts, no motors, and no external fluid reservoir. The fibers are less than 2 millimeters thick, can be woven into fabric like ordinary textile, and operate in complete silence because nothing physically moves inside them, it is just ions propelling fluid through a closed circuit. The performance numbers published in Science Robotics are not conceptual, they are empirical results from actual hardware. These fibers achieve a power density of 50 watts per kilogram, matching skeletal muscle, with a contraction strain of 20% and a response time of 0.3 seconds. A single bundled configuration lifted 4 kilograms, 200 times its own weight while a separate configuration drove a robotic arm through a 40-degree bend compliant enough to safely complete a human handshake. Another configuration launched objects in under 100 milliseconds, which is faster than a human flinch reflex. The design mirrors biological muscle architecture in a way that prior artificial muscle approaches never achieved. The fibers are organized into antagonistic pairs, one contracts while the other extends, exactly like biceps and triceps and because the system runs in a closed loop, the relaxing fiber serves as the fluid reservoir for the contracting one, which is what allows the whole system to operate untethered with no external tank. The applications are not hypothetical but rather are the exact use cases the industry has been waiting years for the hardware to catch up to. Exoskeletons for physical labor, prosthetic limbs that move with the natural compliance of biological tissue, assistive garments for patients with motor disorders, and soft robots capable of safe physical contact with humans are all immediately unlocked by a muscle technology that is silent, lightweight, and weavable into clothing. The deeper significance is what this technology does when it meets the AI robotics wave that is already underway. Every major humanoid robot program, Figure, 1X, Boston Dynamics, Tesla Optimus is currently bottlenecked by the same hardware limitations these fibers address, actuators that are too rigid, too loud, too heavy, or too dependent on infrastructure to operate naturally alongside humans. Electrofluidic fiber muscles do not just solve a materials science problem but rather they remove one of the last physical barriers between robots that live in labs and robots that live in the world.
0:28

This is WILD! MIT just solved one of the hardest unsolved problems in robotics (Save this). For decades, the fundamental problem with soft robots and wearable exoskeletons has not been compute or AI, it has been actuation. The moment you try to give a soft robot meaningful strength, you run into the same wall every engineer has hit since the field began, fluid-driven systems require external pumps, hydraulic reservoirs, and heavy infrastructure that makes the entire thing impractical to wear or embed into fabric. MIT's new Electrofluidic Fiber Muscles solve that problem by eliminating external infrastructure entirely. The key insight is electrohydrodynamic pumping using electric fields to generate pressure directly from electricity, with no moving parts, no motors, and no external fluid reservoir. The fibers are less than 2 millimeters thick, can be woven into fabric like ordinary textile, and operate in complete silence because nothing physically moves inside them, it is just ions propelling fluid through a closed circuit. The performance numbers published in Science Robotics are not conceptual, they are empirical results from actual hardware. These fibers achieve a power density of 50 watts per kilogram, matching skeletal muscle, with a contraction strain of 20% and a response time of 0.3 seconds. A single bundled configuration lifted 4 kilograms, 200 times its own weight while a separate configuration drove a robotic arm through a 40-degree bend compliant enough to safely complete a human handshake. Another configuration launched objects in under 100 milliseconds, which is faster than a human flinch reflex. The design mirrors biological muscle architecture in a way that prior artificial muscle approaches never achieved. The fibers are organized into antagonistic pairs, one contracts while the other extends, exactly like biceps and triceps and because the system runs in a closed loop, the relaxing fiber serves as the fluid reservoir for the contracting one, which is what allows the whole system to operate untethered with no external tank. The applications are not hypothetical but rather are the exact use cases the industry has been waiting years for the hardware to catch up to. Exoskeletons for physical labor, prosthetic limbs that move with the natural compliance of biological tissue, assistive garments for patients with motor disorders, and soft robots capable of safe physical contact with humans are all immediately unlocked by a muscle technology that is silent, lightweight, and weavable into clothing. The deeper significance is what this technology does when it meets the AI robotics wave that is already underway. Every major humanoid robot program, Figure, 1X, Boston Dynamics, Tesla Optimus is currently bottlenecked by the same hardware limitations these fibers address, actuators that are too rigid, too loud, too heavy, or too dependent on infrastructure to operate naturally alongside humans. Electrofluidic fiber muscles do not just solve a materials science problem but rather they remove one of the last physical barriers between robots that live in labs and robots that live in the world.

Milk Road AI

1,208,301 Aufrufe • vor 4 Monaten

⚠️ ONE HUMANOID ROBOT IS IMPRESSIVE. WATCHING AN ENTIRE FLEET MOVE AS ONE IS A DIFFERENT LEVEL. Dozens of humanoid robots are performing the same sequence simultaneously, matching their timing across the entire formation. Every step, arm movement and change of position has to stay coordinated while each machine independently maintains its balance. One robot can hide a mistake - a whole formation can't. The choreography is almost beside the point. What you're really seeing is the ability to reproduce complex physical movements consistently across a large number of machines, without the formation falling apart. That kind of repeatability becomes far more important once robots move from controlled demonstrations into real industrial environments. And that's where the real breakthrough could be. The future of humanoid robotics won't be measured only by what one machine can do, but by how reliably an entire fleet can do it. One capable robot is a technological achievement; coordinating many of them turns that capability into a system. One robot proves the technology. A fleet shows what happens when it scales.
1:44

⚠️ ONE HUMANOID ROBOT IS IMPRESSIVE. WATCHING AN ENTIRE FLEET MOVE AS ONE IS A DIFFERENT LEVEL. Dozens of humanoid robots are performing the same sequence simultaneously, matching their timing across the entire formation. Every step, arm movement and change of position has to stay coordinated while each machine independently maintains its balance. One robot can hide a mistake - a whole formation can't. The choreography is almost beside the point. What you're really seeing is the ability to reproduce complex physical movements consistently across a large number of machines, without the formation falling apart. That kind of repeatability becomes far more important once robots move from controlled demonstrations into real industrial environments. And that's where the real breakthrough could be. The future of humanoid robotics won't be measured only by what one machine can do, but by how reliably an entire fleet can do it. One capable robot is a technological achievement; coordinating many of them turns that capability into a system. One robot proves the technology. A fleet shows what happens when it scales.

Future Memo

16,337 Aufrufe • vor 1 Monat

Westworld-like hand Suzhou-bassed Rochu Robotics just tested a biomimetic hand that is completely different from the rigid motor-driven dexterous hands on the market: Pneumatic/Fluid-driven artificial muscles + 1:1 human skeletal structure. These artificial muscles contract when pressurized,just like biological ones --pulling on biomimetic tendons to move the joints with smooth, natural motion. Just 4 biomimetic muscles can easily lift a 3kg kettlebell, and demonstrate the versatility of flexible grasping…while also acing fast finger challenges (peace sign, rock on, counting, etc.) almost matching a real human hand. True compliance and safety in human-robot interaction,no more cold, stiff mechanics. This one is developing real life-like movement logic.
1:10

Westworld-like hand Suzhou-bassed Rochu Robotics just tested a biomimetic hand that is completely different from the rigid motor-driven dexterous hands on the market: Pneumatic/Fluid-driven artificial muscles + 1:1 human skeletal structure. These artificial muscles contract when pressurized,just like biological ones --pulling on biomimetic tendons to move the joints with smooth, natural motion. Just 4 biomimetic muscles can easily lift a 3kg kettlebell, and demonstrate the versatility of flexible grasping…while also acing fast finger challenges (peace sign, rock on, counting, etc.) almost matching a real human hand. True compliance and safety in human-robot interaction,no more cold, stiff mechanics. This one is developing real life-like movement logic.

CyberRobo

28,240 Aufrufe • vor 3 Monaten

China has developed a 3-kg bionic robotic fish designed to move underwater more naturally and quietly than conventional underwater drones. Its body uses seven sections and three movable tail joints to mimic the movement of a real fish. The robot can reportedly operate autonomously for around 5 hours on a charge and carries a front-mounted sonar system for monitoring its underwater surroundings. But its most interesting feature may be its appearance—it is designed to resemble an ordinary fish, potentially making it harder to notice. That could give biomimetic robots an interesting role in underwater reconnaissance and surveillance. The idea is simple: instead of building a machine that looks like a machine, build one that looks like part of the environment—and let it quietly observe what is happening underwater. #China #robot #robotics #chinarobot #underwaterworld
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China has developed a 3-kg bionic robotic fish designed to move underwater more naturally and quietly than conventional underwater drones. Its body uses seven sections and three movable tail joints to mimic the movement of a real fish. The robot can reportedly operate autonomously for around 5 hours on a charge and carries a front-mounted sonar system for monitoring its underwater surroundings. But its most interesting feature may be its appearance—it is designed to resemble an ordinary fish, potentially making it harder to notice. That could give biomimetic robots an interesting role in underwater reconnaissance and surveillance. The idea is simple: instead of building a machine that looks like a machine, build one that looks like part of the environment—and let it quietly observe what is happening underwater. #China #robot #robotics #chinarobot #underwaterworld

Srijan Pal Singh

101,038 Aufrufe • vor 13 Tagen

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

21,747 Aufrufe • vor 6 Monaten

⚠️ THE ROBOT DIDN’T ENTER A ROBOT TESTING LAB. IT ENTERED A CITY. A humanoid robot is moving through a real urban environment with pedestrians, traffic and constantly changing space around it. There’s no empty runway and no perfectly controlled path - the machine has to keep moving while the world around it does whatever it wants. That makes a few seconds of walking far more interesting than another polished stage demo. A city is one of the hardest places to test a humanoid because nothing stays predictable for long. People stop, cars move, distances change and obstacles appear without warning, while the robot still has to maintain balance and choose where to step next. The challenge isn't simply walking anymore - it's understanding how to move through a world that wasn't designed for robots. And that's the real milestone here. Humanoids don't need to look perfectly human to change the world; they need to become capable of functioning in spaces already built for us. The closer they get to doing that reliably, the less important the laboratory demos become. The future won't feel futuristic because robots look human. It will feel futuristic when robots can move through our world like they belong there.
0:23

⚠️ THE ROBOT DIDN’T ENTER A ROBOT TESTING LAB. IT ENTERED A CITY. A humanoid robot is moving through a real urban environment with pedestrians, traffic and constantly changing space around it. There’s no empty runway and no perfectly controlled path - the machine has to keep moving while the world around it does whatever it wants. That makes a few seconds of walking far more interesting than another polished stage demo. A city is one of the hardest places to test a humanoid because nothing stays predictable for long. People stop, cars move, distances change and obstacles appear without warning, while the robot still has to maintain balance and choose where to step next. The challenge isn't simply walking anymore - it's understanding how to move through a world that wasn't designed for robots. And that's the real milestone here. Humanoids don't need to look perfectly human to change the world; they need to become capable of functioning in spaces already built for us. The closer they get to doing that reliably, the less important the laboratory demos become. The future won't feel futuristic because robots look human. It will feel futuristic when robots can move through our world like they belong there.

Future Memo

10,138 Aufrufe • vor 1 Monat

MIT engineers built an AI wristband that controls robots by reading your hand muscles. It works by using an ultrasound to capture images of the muscles and tendons in your wrist. An AI algorithm then translates those images into the exact position of all 5 fingers, tracking 22 different ways your hand can bend, twist, and extend. In demos, wearers directed a robotic hand to play piano just by moving their own fingers. To put the complexity in perspective, it takes: > 34 muscles > 27 joints > 100+ tendons ...Just to scroll your phone This device captures it all from a band the size of a smartwatch. They tested across 8 volunteers with different hand sizes, tracking everything from sign language letters to holding scissors. The team is now collecting data from hundreds more users to train robots in surgical procedures. Something like this could one day become the universal remote for robots and virtual worlds, and we're way closer than most people expect.
2:40

MIT engineers built an AI wristband that controls robots by reading your hand muscles. It works by using an ultrasound to capture images of the muscles and tendons in your wrist. An AI algorithm then translates those images into the exact position of all 5 fingers, tracking 22 different ways your hand can bend, twist, and extend. In demos, wearers directed a robotic hand to play piano just by moving their own fingers. To put the complexity in perspective, it takes: > 34 muscles > 27 joints > 100+ tendons ...Just to scroll your phone This device captures it all from a band the size of a smartwatch. They tested across 8 volunteers with different hand sizes, tracking everything from sign language letters to holding scissors. The team is now collecting data from hundreds more users to train robots in surgical procedures. Something like this could one day become the universal remote for robots and virtual worlds, and we're way closer than most people expect.

Rowan Cheung

28,902 Aufrufe • vor 5 Monaten

This is just crazy! Clone just introduced the Torso 2, a groundbreaking android that sets a new standard for robotics. This advanced prototype features 910 artificial muscle fibers, 164 degrees of freedom, and 182 sensors for precise feedback control, enabling fluid, human-like movement. With an actuated lumbar spine and a full set of abdominal muscles, Torso 2’s design mimics human anatomy for unprecedented natural motion. Encased in a sleek, white transparent skin, the Torso 2 utilizes pneumatic actuation to animate its muscles, though current off-the-shelf valves create some noise due to air exhaust. Clone plans to return to a quieter hydraulic design with custom liquid valves for future bipedal robots. The current temporary opaque visor will also be replaced with a one-way mirror for a more polished look. The Torso 2 demonstrates Clone’s hardware potential, running hand-coded sequences to control each muscle. With the promise of legs arriving soon, Clone Robotics is inching closer to creating silent, fully humanoid androids—marking a major leap toward lifelike robotic functionality.
0:51

This is just crazy! Clone just introduced the Torso 2, a groundbreaking android that sets a new standard for robotics. This advanced prototype features 910 artificial muscle fibers, 164 degrees of freedom, and 182 sensors for precise feedback control, enabling fluid, human-like movement. With an actuated lumbar spine and a full set of abdominal muscles, Torso 2’s design mimics human anatomy for unprecedented natural motion. Encased in a sleek, white transparent skin, the Torso 2 utilizes pneumatic actuation to animate its muscles, though current off-the-shelf valves create some noise due to air exhaust. Clone plans to return to a quieter hydraulic design with custom liquid valves for future bipedal robots. The current temporary opaque visor will also be replaced with a one-way mirror for a more polished look. The Torso 2 demonstrates Clone’s hardware potential, running hand-coded sequences to control each muscle. With the promise of legs arriving soon, Clone Robotics is inching closer to creating silent, fully humanoid androids—marking a major leap toward lifelike robotic functionality.

Ed Krassenstein

29,566 Aufrufe • vor 1 Jahr

Teaching robots real dexterity has always been a challenge. But what if they could handle tools like a human? DexterityGen (DexGen) is a new system that helps robots use their hands better. It improves how they grip, move, and handle objects… from holding a pen to using a screwdriver. DexGen learns in simulation and refines its skills in the real world, making robotic hands much more useful. What makes DexGen special? ✅ Smarter movements that refine rough actions into precise skills ✅ Trained on a massive collection of dexterous tasks for better learning ✅ Better teleoperation that makes robotic hand control easier and safer ✅ Handles real-world challenges like small objects, tricky angles, and gravity This moves robots closer to real dexterity. It makes tool use more natural, improves stability, and brings robotic hands one step closer to human-level skill. Seen at Zhao-Heng Yin 🫶 Github: Paper:
1:52

Teaching robots real dexterity has always been a challenge. But what if they could handle tools like a human? DexterityGen (DexGen) is a new system that helps robots use their hands better. It improves how they grip, move, and handle objects… from holding a pen to using a screwdriver. DexGen learns in simulation and refines its skills in the real world, making robotic hands much more useful. What makes DexGen special? ✅ Smarter movements that refine rough actions into precise skills ✅ Trained on a massive collection of dexterous tasks for better learning ✅ Better teleoperation that makes robotic hand control easier and safer ✅ Handles real-world challenges like small objects, tricky angles, and gravity This moves robots closer to real dexterity. It makes tool use more natural, improves stability, and brings robotic hands one step closer to human-level skill. Seen at Zhao-Heng Yin 🫶 Github: Paper:

Ilir Aliu

51,526 Aufrufe • vor 1 Jahr

South Korean researchers built a paper-thin robot that squeezes through 3mm gaps and lifts 70x (!) its weight. The flexible robotic "sheet" mimicks myosin, the protein that powers muscle contractions in your body. Inside the sheet are dozens of microscopic air chambers stacked in layers. When air flows through them in a specific sequence, tiny feet move like muscles pushing and returning. Each foot repeats a simple push-and-return motion, allowing the robot to travel long distances with small movements. In demos, it navigated through a pipe with just 3 millimeters of clearance while carrying a camera 23x heavier than itself. The team also attached it to a standard 2-finger gripper, instantly giving it the ability to rotate and reposition objects mid-air without moving the arm. One day this could be used in minimally invasive surgery, allowing robots to navigate through the body's smallest passages.
1:07

South Korean researchers built a paper-thin robot that squeezes through 3mm gaps and lifts 70x (!) its weight. The flexible robotic "sheet" mimicks myosin, the protein that powers muscle contractions in your body. Inside the sheet are dozens of microscopic air chambers stacked in layers. When air flows through them in a specific sequence, tiny feet move like muscles pushing and returning. Each foot repeats a simple push-and-return motion, allowing the robot to travel long distances with small movements. In demos, it navigated through a pipe with just 3 millimeters of clearance while carrying a camera 23x heavier than itself. The team also attached it to a standard 2-finger gripper, instantly giving it the ability to rotate and reposition objects mid-air without moving the arm. One day this could be used in minimally invasive surgery, allowing robots to navigate through the body's smallest passages.

Rowan Cheung

53,358 Aufrufe • vor 6 Monaten

‼️‼️🇺🇲 BIG | The USA for the first time shot down a fiber-optic drone The American company Epirus reported a significant breakthrough in the field of countering drones. Its microwave system "Leonidas" for the first time hit a drone with fiber-optic control - one of the most difficult targets for modern electronic warfare means. Previously, the complex had already hit a swarm of 49 drones, but the new test was particularly significant. In December 2025, at a closed test range of the US Army, the system was able to disable a fiber-optic UAV, depriving it of control and causing an uncontrolled fall. Fiber-optic drones, which are widely used today, including in the Ukrainian theater of operations, do not use radio control channels. The signal is transmitted via a thin fiber-optic cable, which makes such drones extremely difficult to detect and suppress. In a report by the US Army in 2024, such drones were called "one of the main threats to air defense systems and anti-drone warfare". The CEO of Epirus noted that the mass spread of fiber-optic UAVs has become a turning point in the evolution of unmanned warfare and has revealed a serious gap in anti-drone defense systems - a gap that "Leonidas" is designed to close. In 2025, Epirus received a contract for $43.5 million for the supply of two second-generation "Leonidas" systems. Its range of destruction is more than twice that of the first version; a 30% increase in power; there are built-in high-energy batteries; a reduction in dependence on external power supply. The system can be installed on: Stryker 8×8 armored vehicles, light tactical vehicles, other mobile platforms. See the latest updates with us: Visioner
0:26

‼️‼️🇺🇲 BIG | The USA for the first time shot down a fiber-optic drone The American company Epirus reported a significant breakthrough in the field of countering drones. Its microwave system "Leonidas" for the first time hit a drone with fiber-optic control - one of the most difficult targets for modern electronic warfare means. Previously, the complex had already hit a swarm of 49 drones, but the new test was particularly significant. In December 2025, at a closed test range of the US Army, the system was able to disable a fiber-optic UAV, depriving it of control and causing an uncontrolled fall. Fiber-optic drones, which are widely used today, including in the Ukrainian theater of operations, do not use radio control channels. The signal is transmitted via a thin fiber-optic cable, which makes such drones extremely difficult to detect and suppress. In a report by the US Army in 2024, such drones were called "one of the main threats to air defense systems and anti-drone warfare". The CEO of Epirus noted that the mass spread of fiber-optic UAVs has become a turning point in the evolution of unmanned warfare and has revealed a serious gap in anti-drone defense systems - a gap that "Leonidas" is designed to close. In 2025, Epirus received a contract for $43.5 million for the supply of two second-generation "Leonidas" systems. Its range of destruction is more than twice that of the first version; a 30% increase in power; there are built-in high-energy batteries; a reduction in dependence on external power supply. The system can be installed on: Stryker 8×8 armored vehicles, light tactical vehicles, other mobile platforms. See the latest updates with us: Visioner

Visioner

55,027 Aufrufe • vor 8 Monaten

That’s movie-level weird. The girl is walking this robot dog on a leash at the AI for Good Summit in Geneva. Its a real personal humanoid robot. This can move from four legs to resembling a person. It can walk and climb, but it also seems able to follow you around and help you, like a drone. Since all the home robots are one body, many of them get stuck on stairs and slopes. The T1 avoids this by being able to fold from a standing figure into a low, four-legged shape. It can climb up and down 18 centimeter steps and 35 degree slopes both inside and outside in dog mode. In human mode, it quietly follows your movements, standing by your side like a friend. So now one machine can do both smooth and rough surfaces, and the odd space in between. The PrimeBOT calls it the T1 . You can add your own behaviors on top of it to make it a robot . Height 80 cm. It will fit in a back pack. Not for the laboratory or the factory, but for personal use.
0:29

That’s movie-level weird. The girl is walking this robot dog on a leash at the AI for Good Summit in Geneva. Its a real personal humanoid robot. This can move from four legs to resembling a person. It can walk and climb, but it also seems able to follow you around and help you, like a drone. Since all the home robots are one body, many of them get stuck on stairs and slopes. The T1 avoids this by being able to fold from a standing figure into a low, four-legged shape. It can climb up and down 18 centimeter steps and 35 degree slopes both inside and outside in dog mode. In human mode, it quietly follows your movements, standing by your side like a friend. So now one machine can do both smooth and rough surfaces, and the odd space in between. The PrimeBOT calls it the T1 . You can add your own behaviors on top of it to make it a robot . Height 80 cm. It will fit in a back pack. Not for the laboratory or the factory, but for personal use.

Rohan Paul

13,501 Aufrufe • vor 2 Monaten

🚨 BREAKING: Big news in the computer vision world! 🎥 Luxonis | Robotic Vision just dropped its new OAK 4 line, and it’s a big upgrade for edge computer vision. Instead of being “just a stereo camera,” OAK 4 is a fully standalone vision computer with 52 TOPS of on-device AI. Models run locally, depth is computed locally, and no external PC or cloud pipeline is required. This is why robotics teams love it: lower latency, lower cost, fewer failure points in the field. The hardware is built for the real-world. IP67, shock-resistant, wide-FOV RGB + stereo pair, IR projection, IMU, audio, and a patent-pending calibration system that keeps depth accurate even when conditions change. But the real move is the platform. With Luxonis Hub, you can deploy models, grab telemetry, push OTA updates, or collect data when performance drifts, all from a unified interface. It turns a single device into an end-to-end edge CV system. Most customers today in robotics are groups who just want something that works: AMRs, bin-picking systems, trailer-loading robots, and ag-tech. 🤖 And they all say the same thing, the appeal isn’t raw TOPS, it’s the all-in-one simplicity that lets them scale without building custom infrastructure. Feels like the direction edge vision has been waiting for: rugged hardware + high-throughput on-device compute + a real management layer. A next step toward “plug-and-deploy” perception for robots. 🔗 Find out more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:12

🚨 BREAKING: Big news in the computer vision world! 🎥 Luxonis | Robotic Vision just dropped its new OAK 4 line, and it’s a big upgrade for edge computer vision. Instead of being “just a stereo camera,” OAK 4 is a fully standalone vision computer with 52 TOPS of on-device AI. Models run locally, depth is computed locally, and no external PC or cloud pipeline is required. This is why robotics teams love it: lower latency, lower cost, fewer failure points in the field. The hardware is built for the real-world. IP67, shock-resistant, wide-FOV RGB + stereo pair, IR projection, IMU, audio, and a patent-pending calibration system that keeps depth accurate even when conditions change. But the real move is the platform. With Luxonis Hub, you can deploy models, grab telemetry, push OTA updates, or collect data when performance drifts, all from a unified interface. It turns a single device into an end-to-end edge CV system. Most customers today in robotics are groups who just want something that works: AMRs, bin-picking systems, trailer-loading robots, and ag-tech. 🤖 And they all say the same thing, the appeal isn’t raw TOPS, it’s the all-in-one simplicity that lets them scale without building custom infrastructure. Feels like the direction edge vision has been waiting for: rugged hardware + high-throughput on-device compute + a real management layer. A next step toward “plug-and-deploy” perception for robots. 🔗 Find out more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

41,955 Aufrufe • vor 9 Monaten

This morning my wife & I watched the live stream of the humanoid robot games. Most of the live stream is quite boring, with a camera wandering around the arena looking for action. But while many demos feel unimpressive, what is interesting is not the level, but the change. Bad robots can still represent an extraordinary trajectory. The trajectory seems impressive in scale and skill. Watching the opening ceremony and seeing the robots march in unison sends an eerie military message. The images are ominous. You don’t want to mess with a country that can ship endless waves of mechanized soldiers. In the 2010s, demos used to involve a robot or two. The scale of the parade alone is a meaningful uptick in a key derivative. But some demos are also impressive in skill. The robots that played tennis or ping pong are reacting in fractions of a second while adjusting their balance and position while targeting a ball. This seems simple to us, but two decades ago, having a humanoid walk up or down a few steps was considered a good demo. So the slope in skill is there as well. So how should we interpret this? On the one hand, as a scholar, I totally respect the effort. It is a competition filled with startups, grad students, and lab directors who have poured their heart and soul into making these robots. At the end of the day, the event is like an academic conference serving also as a public display of how much the field of robotics has advanced. It is a testament to a growing industry. On the other hand, I also feel the clear military implications and undertones. It is mostly a local event. There are only a few teams not from China, which feels lopsided for a technology with strong geopolitical implications at a time when global cooperation is weak. The key question to focus on is where these humanoids be in 5 or 10 years. Robotics has been around the corner since before I was born. But this time it feels like the technology and the market are coming together within an economy that is vast & booming. Remember that when it comes to scale, China is not a country, but a “planet.” Its domestic market alone might be enough to scale a strategic sector. If the trajectory continues, maybe China will become the first “planet” on Earth to mass-produce artificial people.
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This morning my wife & I watched the live stream of the humanoid robot games. Most of the live stream is quite boring, with a camera wandering around the arena looking for action. But while many demos feel unimpressive, what is interesting is not the level, but the change. Bad robots can still represent an extraordinary trajectory. The trajectory seems impressive in scale and skill. Watching the opening ceremony and seeing the robots march in unison sends an eerie military message. The images are ominous. You don’t want to mess with a country that can ship endless waves of mechanized soldiers. In the 2010s, demos used to involve a robot or two. The scale of the parade alone is a meaningful uptick in a key derivative. But some demos are also impressive in skill. The robots that played tennis or ping pong are reacting in fractions of a second while adjusting their balance and position while targeting a ball. This seems simple to us, but two decades ago, having a humanoid walk up or down a few steps was considered a good demo. So the slope in skill is there as well. So how should we interpret this? On the one hand, as a scholar, I totally respect the effort. It is a competition filled with startups, grad students, and lab directors who have poured their heart and soul into making these robots. At the end of the day, the event is like an academic conference serving also as a public display of how much the field of robotics has advanced. It is a testament to a growing industry. On the other hand, I also feel the clear military implications and undertones. It is mostly a local event. There are only a few teams not from China, which feels lopsided for a technology with strong geopolitical implications at a time when global cooperation is weak. The key question to focus on is where these humanoids be in 5 or 10 years. Robotics has been around the corner since before I was born. But this time it feels like the technology and the market are coming together within an economy that is vast & booming. Remember that when it comes to scale, China is not a country, but a “planet.” Its domestic market alone might be enough to scale a strategic sector. If the trajectory continues, maybe China will become the first “planet” on Earth to mass-produce artificial people.

César A. Hidalgo

34,749 Aufrufe • vor 1 Monat

VLAI Robotics Launches High-Dexterity Dual-Arm Robot Starting at ~$5,500 USD VLAI Robotics, utilizing the open-source design of Japan’s OpenArm team, has introduced a high-dexterity, low-cost bimanual robotic system. The product is priced from 39,900 RMB (approximately 5,500 USD), making high-level research tools accessible to institutions and developers. The robot features a human-scale, arm-hand integrated design with up to 16 DOF (8 DOF per arm, including the gripper). It can handle a dual-arm peak payload of 12 kg while maintaining high precision. A key breakthrough is its ability to replicate human upper limb movement trajectories, which enhances data quality for imitation learning and remote operation. VLAI Robotics handled the domestic engineering, manufacturing, and VLA (Vision-Language-Action) algorithm integration, with quality control organized according to the strict standards of the OpenArm R&D framework. The robot is highly adaptable for research, education, and Physical AI training, supporting easy expansion for features like VR teleoperation.
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VLAI Robotics Launches High-Dexterity Dual-Arm Robot Starting at ~$5,500 USD VLAI Robotics, utilizing the open-source design of Japan’s OpenArm team, has introduced a high-dexterity, low-cost bimanual robotic system. The product is priced from 39,900 RMB (approximately 5,500 USD), making high-level research tools accessible to institutions and developers. The robot features a human-scale, arm-hand integrated design with up to 16 DOF (8 DOF per arm, including the gripper). It can handle a dual-arm peak payload of 12 kg while maintaining high precision. A key breakthrough is its ability to replicate human upper limb movement trajectories, which enhances data quality for imitation learning and remote operation. VLAI Robotics handled the domestic engineering, manufacturing, and VLA (Vision-Language-Action) algorithm integration, with quality control organized according to the strict standards of the OpenArm R&D framework. The robot is highly adaptable for research, education, and Physical AI training, supporting easy expansion for features like VR teleoperation.

RoboHub🤖

12,961 Aufrufe • vor 11 Monaten

Dexterous hands are one of the biggest challenges in robotics, with even Elon Musk noting their development accounts for half of a humanoid robot's total work. A new approach from the Y-Hand M1 bionic hand may be a significant step forward. Based on an international first-of-its-kind "bionic tension-compression theory," the M1 replaces traditional rigid hinges with a 6-DoF joint system and uses self-developed magnetic artificial muscles. This design allows it to perform complex, human-like tasks, including: ► Mastering all 33 Feix dexterous grasp categories. ► Precisely twirling playing cards and threading a needle with subtle human-like adjustments. ► Smoothly twisting bottle caps and turning book pages. The team behind the M1 is already working on the next-gen Y-Hand M3, aiming for around 70 degrees of freedom, believing that robotic hands may soon reach or even exceed human-level dexterity.
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Dexterous hands are one of the biggest challenges in robotics, with even Elon Musk noting their development accounts for half of a humanoid robot's total work. A new approach from the Y-Hand M1 bionic hand may be a significant step forward. Based on an international first-of-its-kind "bionic tension-compression theory," the M1 replaces traditional rigid hinges with a 6-DoF joint system and uses self-developed magnetic artificial muscles. This design allows it to perform complex, human-like tasks, including: ► Mastering all 33 Feix dexterous grasp categories. ► Precisely twirling playing cards and threading a needle with subtle human-like adjustments. ► Smoothly twisting bottle caps and turning book pages. The team behind the M1 is already working on the next-gen Y-Hand M3, aiming for around 70 degrees of freedom, believing that robotic hands may soon reach or even exceed human-level dexterity.

RoboHub🤖

64,560 Aufrufe • vor 1 Jahr