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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...

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Ed Krassenstein

1,097,912 subscribers

29,566 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 10

Фото профиля Three Year Letterman
Three Year Letterman1 год назад

@clonerobotics Kill it with fire

Фото профиля Mark Kelly
Mark Kelly1 год назад

@clonerobotics Like the opening scenes from the WestWorld series....

Фото профиля Zaven Grigoryan
Zaven Grigoryan1 год назад

@clonerobotics This year was a milestone for generative AI, the next one will bring robots to mass use.

Фото профиля Ed Krassenstein
Ed Krassenstein1 год назад

@clonerobotics Yeah just imagine teaming AI with robots.

Фото профиля AI Leaks and News
AI Leaks and News1 год назад

@clonerobotics Clone is cooking

Фото профиля james Patterson
james Patterson1 год назад

@clonerobotics It didn’t take you long to ride the dick off of your new robot

Фото профиля Walt Wang
Walt Wang1 год назад

@clonerobotics Zombie apocalypse movies are going to be so much better. 😂

Фото профиля Brandon Edwards
Brandon Edwards1 год назад

@clonerobotics No, thanks. I choose life.

Фото профиля Roughneck Rooster
Roughneck Rooster1 год назад

@clonerobotics Geezus Fucking Christopher! Why is this happening??? We've even been warned!

Фото профиля what in the what
what in the what1 год назад

@clonerobotics

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Clone Torso 2! features an actuated lumbar spine and all corresponding abdominal muscles. It wears a white transparent skin that encloses 910 muscle fibers enabling 164 DoF, and 182 sensors for feedback control. Clone plans to adopt custom liquid valves for quieter operation.
0:57

Clone Torso 2! features an actuated lumbar spine and all corresponding abdominal muscles. It wears a white transparent skin that encloses 910 muscle fibers enabling 164 DoF, and 182 sensors for feedback control. Clone plans to adopt custom liquid valves for quieter operation.

The Humanoid Hub

142,589 просмотров • 1 год назад

Clone’s Protoclone is a musculoskeletal android engineered around an anatomically based human skeletal structure. It incorporates more than 1,000 artificial muscle actuators (Myofibers), polymer-based bones with articulated joints and ligaments, and a hydraulic vascular system for force transmission. The platform integrates depth cameras, inertial and pressure sensors, and onboard computing powered by NVIDIA Jetson Thor to enable sensor-driven visuomotor control. Credit: Clone #robotics #robots #engineering #technology #android #Protoclone
1:14

Clone’s Protoclone is a musculoskeletal android engineered around an anatomically based human skeletal structure. It incorporates more than 1,000 artificial muscle actuators (Myofibers), polymer-based bones with articulated joints and ligaments, and a hydraulic vascular system for force transmission. The platform integrates depth cameras, inertial and pressure sensors, and onboard computing powered by NVIDIA Jetson Thor to enable sensor-driven visuomotor control. Credit: Clone #robotics #robots #engineering #technology #android #Protoclone

Wevolver

10,792 просмотров • 7 месяцев назад

Human Skin developed for Robots by University of Tokyo. It is also self healing. It is uncanny and well you decide. Let see, a 🧵 — Japanese scientists from the University of Tokyo have developed a groundbreaking method to attach living, lab-grown skin to robotic faces, enabling lifelike smiles and facial expressions. It mimics human tissue structures, using collagen-based gels and perforation-type anchors to securely bind the skin to the robot's surface without tearing or peeling during movement. The artificial skin is soft, self-healing, and capable of stretching, paving the way for more realistic humanoid robots. While still in its early stages, this technology has potential applications in robotics, cosmetics, and medical research. This technology will be deployed before most of the world has a chance to understand the implications…
1:56

Human Skin developed for Robots by University of Tokyo. It is also self healing. It is uncanny and well you decide. Let see, a 🧵 — Japanese scientists from the University of Tokyo have developed a groundbreaking method to attach living, lab-grown skin to robotic faces, enabling lifelike smiles and facial expressions. It mimics human tissue structures, using collagen-based gels and perforation-type anchors to securely bind the skin to the robot's surface without tearing or peeling during movement. The artificial skin is soft, self-healing, and capable of stretching, paving the way for more realistic humanoid robots. While still in its early stages, this technology has potential applications in robotics, cosmetics, and medical research. This technology will be deployed before most of the world has a chance to understand the implications…

Brian Roemmele

165,763 просмотров • 1 год назад

Most robots have rigid necks. This one moves more like a human. 🤖🧬 Will Cogley built a 3D-printed artificial spine and neck inspired by human anatomy. Six linear actuators work like artificial muscles, while flexible 3D-printed vertebrae help create smoother, more natural movement. The result? A robotic head that can move with surprisingly human-like motion. Should future humanoids use biological structures instead of traditional rigid joints? 👀 🎥 Media: Will Cogley / NM Robotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Robotics #HumanoidRobots #Biomimicry #3DPrinting #Animatronics #Mechatronics #Engineering #Innovation
0:39

Most robots have rigid necks. This one moves more like a human. 🤖🧬 Will Cogley built a 3D-printed artificial spine and neck inspired by human anatomy. Six linear actuators work like artificial muscles, while flexible 3D-printed vertebrae help create smoother, more natural movement. The result? A robotic head that can move with surprisingly human-like motion. Should future humanoids use biological structures instead of traditional rigid joints? 👀 🎥 Media: Will Cogley / NM Robotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Robotics #HumanoidRobots #Biomimicry #3DPrinting #Animatronics #Mechatronics #Engineering #Innovation

CTO ROBOTICS Media

24,883 просмотров • 1 месяц назад

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 просмотров • 3 месяцев назад

Clone Robotics CEO Necromancer in a fireside chat with Peter Diamandis at the Abundance Summit: Rather than following the conventional humanoid robot path, they are building "Synthetic Human Androids."(westworld like) > Abandoning the rigid skeleton + electric motor approach > Adopting a human anatomical design: an internal skeleton paired with their proprietary Myofiber artificial muscles (fluid-driven). While this may appear slow in the short term, only a foundational design rooted in biological principles can ultimately prevail in the long run. > Mimicking the actual musculoskeletal system results in a robot that is more natural, compliant, and quiet. > Initial versions will feature a faceless design to avoid the "uncanny valley" effect. Facial artificial muscles will be added incrementally to enable micro-expressions, making the robots virtually indistinguishable from real humans. Goal: A cost of < $20,000, with commercial deployment commencing around 2028. They will begin by performing repetitive service tasks in structured environments,such as hotels and facilities,while simultaneously learning more complex operations through embodied AI as they work. (For the full video, see Clone's post.)
0:38

Clone Robotics CEO Necromancer in a fireside chat with Peter Diamandis at the Abundance Summit: Rather than following the conventional humanoid robot path, they are building "Synthetic Human Androids."(westworld like) > Abandoning the rigid skeleton + electric motor approach > Adopting a human anatomical design: an internal skeleton paired with their proprietary Myofiber artificial muscles (fluid-driven). While this may appear slow in the short term, only a foundational design rooted in biological principles can ultimately prevail in the long run. > Mimicking the actual musculoskeletal system results in a robot that is more natural, compliant, and quiet. > Initial versions will feature a faceless design to avoid the "uncanny valley" effect. Facial artificial muscles will be added incrementally to enable micro-expressions, making the robots virtually indistinguishable from real humans. Goal: A cost of < $20,000, with commercial deployment commencing around 2028. They will begin by performing repetitive service tasks in structured environments,such as hotels and facilities,while simultaneously learning more complex operations through embodied AI as they work. (For the full video, see Clone's post.)

CyberRobo

44,161 просмотров • 5 месяцев назад

A Breakthrough in Robotics: Spherical Gears Enter Mass Production Spherical gears, the kind of joint that would allow a robot to move like a human shoulder, have been notoriously difficult to manufacture with high precision. That's changing, thanks to a new design and a path to mass production that could have a huge impact on robotics. The breakthrough comes from a new design called the ABENICS spherical gear, developed by researchers at Yamagata University. This innovative mechanism enables a joint to move in three degrees of freedom without the slippage issues of earlier designs. It achieves this by using a "cross-spherical gear" that meshes with one or more "monopole gears." Mass production is now on the horizon. Although the initial manufacturing of the gears was inefficient, Nissei Corporation improved the process and established the necessary technology. The companies Kanematsu and Nissei have now entered the marketing phase, with production expected to begin in 2027. The impact of this technology is significant. Mass-produced spherical gears are expected to enable highly versatile and efficient robotic limbs. ► Humanoid and Mobile Robots: The design allows for compact, high-torque ball joints ideal for creating versatile and efficient robotic limbs. ► Aerospace: Potential applications include deployment mechanisms for satellite solar panels. ► Other Industries: The technology is also being explored for its potential to enhance productivity in healthcare, nursing care, and restaurants.
2:01

A Breakthrough in Robotics: Spherical Gears Enter Mass Production Spherical gears, the kind of joint that would allow a robot to move like a human shoulder, have been notoriously difficult to manufacture with high precision. That's changing, thanks to a new design and a path to mass production that could have a huge impact on robotics. The breakthrough comes from a new design called the ABENICS spherical gear, developed by researchers at Yamagata University. This innovative mechanism enables a joint to move in three degrees of freedom without the slippage issues of earlier designs. It achieves this by using a "cross-spherical gear" that meshes with one or more "monopole gears." Mass production is now on the horizon. Although the initial manufacturing of the gears was inefficient, Nissei Corporation improved the process and established the necessary technology. The companies Kanematsu and Nissei have now entered the marketing phase, with production expected to begin in 2027. The impact of this technology is significant. Mass-produced spherical gears are expected to enable highly versatile and efficient robotic limbs. ► Humanoid and Mobile Robots: The design allows for compact, high-torque ball joints ideal for creating versatile and efficient robotic limbs. ► Aerospace: Potential applications include deployment mechanisms for satellite solar panels. ► Other Industries: The technology is also being explored for its potential to enhance productivity in healthcare, nursing care, and restaurants.

RoboHub🤖

384,888 просмотров • 1 год назад

Tesla just got granted new patent for robotic Knee join and of course I have to make a video about it 😀 This patent application describes a sophisticated robotic knee joint designed by Tesla to emulate the complex movement of a human leg. The invention utilizes a linear actuator and a specialized linkage system to provide a wide range of motion while maintaining energy efficiency. By integrating processing circuitry and a controller, the system can precisely calculate and execute the necessary torque and displacement for fluid mobility. This mechanical design is specifically tailored for use in humanoid robots, allowing them to perform tasks with a more natural and effective gait. The documentation further includes technical illustrations and simulation data to demonstrate how the joint achieves optimal performance through its unique structural configuration.
6:59

Tesla just got granted new patent for robotic Knee join and of course I have to make a video about it 😀 This patent application describes a sophisticated robotic knee joint designed by Tesla to emulate the complex movement of a human leg. The invention utilizes a linear actuator and a specialized linkage system to provide a wide range of motion while maintaining energy efficiency. By integrating processing circuitry and a controller, the system can precisely calculate and execute the necessary torque and displacement for fluid mobility. This mechanical design is specifically tailored for use in humanoid robots, allowing them to perform tasks with a more natural and effective gait. The documentation further includes technical illustrations and simulation data to demonstrate how the joint achieves optimal performance through its unique structural configuration.

Emily

50,333 просмотров • 5 месяцев назад

This is the Scorpion Hexapod, a six-legged robotic scorpion created at Ghent University UGent Campus Kortrijk in Belgium. It was built by students Stephan Flamand Robbe Terryn and Pieterjan Deconinck as part of an Embedded Prototyping / Mechatronics Design project. What it is • A biomimetic robot inspired by the body and movement of a real scorpion • A hexapod, meaning it walks on six legs • A university prototype, not a commercial robot • Built to test animal-inspired movement, sensors and interactive behavior • Designed more for robotics research and education than real-world work Main hardware • 6 walking legs for crawling movement • 2 front claws for the scorpion look • Moving tail with a stinger-style mechanism • Sensors in the body, legs and claws • Arduino-based electronics for control • Front camera and proximity sensing • Battery pack for mobile operation • 3D-printed modules for legs and tail • Laser-cut ABS body parts • Thermoformed shell for the white outer body What it can do • Walk across the floor using its six legs • Move its tail like a real scorpion • React when a person gets close • Detect when someone covers its front sensors • Strike with its tail in the demo • Leave a red mark using a marker pen attached to the stinger • Operate through remote control • Perform some simple autonomous reactions Why it was created • To explore bio-inspired robotics • To show how digital fabrication can produce complex moving robots • To combine 3D printing, laser cutting, Arduino electronics and sensors • To teach students how to design a complete mechatronic system • To improve on an older robotic ant project that had weak autonomy, short battery life and motor problems • To create an interactive robot that reacts to humans in a visible way Important note • It was not built for combat • It was not made for industrial deployment • It is not a military robot • It is an educational robotics prototype made to demonstrate movement, sensing and interaction
0:30

This is the Scorpion Hexapod, a six-legged robotic scorpion created at Ghent University UGent Campus Kortrijk in Belgium. It was built by students Stephan Flamand Robbe Terryn and Pieterjan Deconinck as part of an Embedded Prototyping / Mechatronics Design project. What it is • A biomimetic robot inspired by the body and movement of a real scorpion • A hexapod, meaning it walks on six legs • A university prototype, not a commercial robot • Built to test animal-inspired movement, sensors and interactive behavior • Designed more for robotics research and education than real-world work Main hardware • 6 walking legs for crawling movement • 2 front claws for the scorpion look • Moving tail with a stinger-style mechanism • Sensors in the body, legs and claws • Arduino-based electronics for control • Front camera and proximity sensing • Battery pack for mobile operation • 3D-printed modules for legs and tail • Laser-cut ABS body parts • Thermoformed shell for the white outer body What it can do • Walk across the floor using its six legs • Move its tail like a real scorpion • React when a person gets close • Detect when someone covers its front sensors • Strike with its tail in the demo • Leave a red mark using a marker pen attached to the stinger • Operate through remote control • Perform some simple autonomous reactions Why it was created • To explore bio-inspired robotics • To show how digital fabrication can produce complex moving robots • To combine 3D printing, laser cutting, Arduino electronics and sensors • To teach students how to design a complete mechatronic system • To improve on an older robotic ant project that had weak autonomy, short battery life and motor problems • To create an interactive robot that reacts to humans in a visible way Important note • It was not built for combat • It was not made for industrial deployment • It is not a military robot • It is an educational robotics prototype made to demonstrate movement, sensing and interaction

Techniahqrobot | humanoid robots

28,176 просмотров • 2 месяцев назад

Ukraine has developed a prosthesis that controls drones with the "power of thought". The new MARS prosthesis control system uses special sensors and artificial intelligence to recognize muscle movements. The prosthesis can literally understand the user's intentions. This approach makes prosthesis control more natural, and in the future, opens up new opportunities for controlling technologies such as drones. The user will be able to control the drone by changing the position of the prosthesis in space and tensing different muscles. The principle is similar to a computer mouse: the hand movement controls the direction and angle of the drone, and muscle tension controls functions such as pressing buttons. Esper Bionics is already testing a prototype, and next year, they plan to produce a version for the market. Source: Mykhailo Fedorov/Minister of Digital Transformation of Ukraine/Facebook
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Ukraine has developed a prosthesis that controls drones with the "power of thought". The new MARS prosthesis control system uses special sensors and artificial intelligence to recognize muscle movements. The prosthesis can literally understand the user's intentions. This approach makes prosthesis control more natural, and in the future, opens up new opportunities for controlling technologies such as drones. The user will be able to control the drone by changing the position of the prosthesis in space and tensing different muscles. The principle is similar to a computer mouse: the hand movement controls the direction and angle of the drone, and muscle tension controls functions such as pressing buttons. Esper Bionics is already testing a prototype, and next year, they plan to produce a version for the market. Source: Mykhailo Fedorov/Minister of Digital Transformation of Ukraine/Facebook

Anton Gerashchenko

140,233 просмотров • 1 год назад

Elon Musk revealed the 3 hardest challenges for humanoid robots and how Tesla is solving them There are really only three hard things for humanoid robots: - Real-world intelligence - ⁠The hand and - ⁠Scale manufacturing "I haven’t seen any demo robots that have a great hand with all the degrees of freedom of a human hand. But Optimus does have that" To reach human-level dexterity, Tesla had to design custom actuators, motors, gears, power electronics, controls, and sensors, everything from physics first principles There is no supply chain for this "From an electromechanical standpoint, the hand is more difficult than everything else combined. The human hand turns out to be quite something" This is why Optimus is on a completely different level. Tesla is solving the hardest problems from the ground up
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Elon Musk revealed the 3 hardest challenges for humanoid robots and how Tesla is solving them There are really only three hard things for humanoid robots: - Real-world intelligence - ⁠The hand and - ⁠Scale manufacturing "I haven’t seen any demo robots that have a great hand with all the degrees of freedom of a human hand. But Optimus does have that" To reach human-level dexterity, Tesla had to design custom actuators, motors, gears, power electronics, controls, and sensors, everything from physics first principles There is no supply chain for this "From an electromechanical standpoint, the hand is more difficult than everything else combined. The human hand turns out to be quite something" This is why Optimus is on a completely different level. Tesla is solving the hardest problems from the ground up

X Freeze

20,796 просмотров • 6 месяцев назад

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

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

The AI Robot Guy on X

257,928 просмотров • 8 месяцев назад

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 просмотров • 4 месяцев назад

🦿Xpeng showed a humanoid robot called IRON whose movement looked so human that the team literally cut it open on stage to prove it is a machine. IRON uses a bionic body with a flexible spine, synthetic muscles, and soft skin so joints and torso can twist smoothly like a person. The system has 82 degrees of freedom in total with 22 in each hand for fine finger control. Compute runs on 3 custom AI chips rated at 2,250 TOPS (Tera Operations Per Second), which is far above typical laptop neural accelerators, so it can handle vision and motion planning on the robot. The AI stack focuses on turning camera input directly into body movement without routing through text, which reduces lag and makes the gait look natural. Xpeng staged the cut-open demo at AI Day in Guangzhou this week, addressing rumors that a performer was inside by exposing internal actuators, wiring, and cooling. Company materials also mention a large physical-world model and a multi-brain control setup for dialogue, perception, and locomotion, hinting at a path from stage demos to service work. Production is targeted for 2026, so near-term tasks will be limited, but the hardware shows a serious step toward human-scale manipulation.
0:17

🦿Xpeng showed a humanoid robot called IRON whose movement looked so human that the team literally cut it open on stage to prove it is a machine. IRON uses a bionic body with a flexible spine, synthetic muscles, and soft skin so joints and torso can twist smoothly like a person. The system has 82 degrees of freedom in total with 22 in each hand for fine finger control. Compute runs on 3 custom AI chips rated at 2,250 TOPS (Tera Operations Per Second), which is far above typical laptop neural accelerators, so it can handle vision and motion planning on the robot. The AI stack focuses on turning camera input directly into body movement without routing through text, which reduces lag and makes the gait look natural. Xpeng staged the cut-open demo at AI Day in Guangzhou this week, addressing rumors that a performer was inside by exposing internal actuators, wiring, and cooling. Company materials also mention a large physical-world model and a multi-brain control setup for dialogue, perception, and locomotion, hinting at a path from stage demos to service work. Production is targeted for 2026, so near-term tasks will be limited, but the hardware shows a serious step toward human-scale manipulation.

Rohan Paul

3,802,543 просмотров • 10 месяцев назад

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 responds in 0.3 seconds and operates silently without the humming of an electric motor or a bulky external hydraulic pump. The entire power system is embedded inside the fiber. Like yarn it can be woven bundled and wrapped around a robotic arm. When the robot shakes someone’s hand the fibers yield smoothly to reduce the force. This is more than a material upgrade. It represents a fundamental change in how robots are actuated. As robots move away from rigid geared motors and gain muscle structures closer to biological ones truly biomimetic humanoids move one major step closer. China has also had mature AI vision systems for some time. Ruigan Robotics uses self developed AI algorithms combined with dual-spectrum imaging fusion. The system responds within milliseconds and continues tracking a target even when it suddenly changes direction.
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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 responds in 0.3 seconds and operates silently without the humming of an electric motor or a bulky external hydraulic pump. The entire power system is embedded inside the fiber. Like yarn it can be woven bundled and wrapped around a robotic arm. When the robot shakes someone’s hand the fibers yield smoothly to reduce the force. This is more than a material upgrade. It represents a fundamental change in how robots are actuated. As robots move away from rigid geared motors and gain muscle structures closer to biological ones truly biomimetic humanoids move one major step closer. China has also had mature AI vision systems for some time. Ruigan Robotics uses self developed AI algorithms combined with dual-spectrum imaging fusion. The system responds within milliseconds and continues tracking a target even when it suddenly changes direction.

Techniahqrobot | humanoid robots

50,254 просмотров • 2 месяцев назад

We are back. After one year of quiet building. Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability. For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans. Solving it means rethinking the whole stack from the ground up: - A robotics-native foundation model. - A 1:1 human-like robotic hand. - A noninvasive data collection glove for motion, force, and touch. - A simulator that turns weeks of experiments into minutes. GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm. Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on) We are approaching the endgame for robotics. And this is just a beginning.
3:05

We are back. After one year of quiet building. Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability. For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans. Solving it means rethinking the whole stack from the ground up: - A robotics-native foundation model. - A 1:1 human-like robotic hand. - A noninvasive data collection glove for motion, force, and touch. - A simulator that turns weeks of experiments into minutes. GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm. Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on) We are approaching the endgame for robotics. And this is just a beginning.

Genesis AI

2,742,040 просмотров • 4 месяцев назад

A planetary roller screw looks simple, but it’s one of the key enablers for humanoid robots. It converts rotational motion into precise linear motion with high efficiency, high load capacity, and extremely smooth control. In humanoid robots, this is exactly what you need for: joint actuation linear actuators in arms/legs high-force, high-precision movement under continuous cycles Compared to ball screws, it offers better durability and load distribution—critical for robots that must operate 24/7 in the real world. Small component, huge impact. This is the kind of “hidden hardware” that makes humanoid robotics actually work.
0:57

A planetary roller screw looks simple, but it’s one of the key enablers for humanoid robots. It converts rotational motion into precise linear motion with high efficiency, high load capacity, and extremely smooth control. In humanoid robots, this is exactly what you need for: joint actuation linear actuators in arms/legs high-force, high-precision movement under continuous cycles Compared to ball screws, it offers better durability and load distribution—critical for robots that must operate 24/7 in the real world. Small component, huge impact. This is the kind of “hidden hardware” that makes humanoid robotics actually work.

Steven Cheng

69,970 просмотров • 2 месяцев назад