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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 görüntüleme • 1 yıl önce •via X (Twitter)

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Three Year Letterman1 yıl önce

@clonerobotics Kill it with fire

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Mark Kelly1 yıl önce

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

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Zaven Grigoryan1 yıl önce

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

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Ed Krassenstein1 yıl önce

@clonerobotics Yeah just imagine teaming AI with robots.

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@clonerobotics Clone is cooking

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james Patterson1 yıl önce

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

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Walt Wang1 yıl önce

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

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Brandon Edwards1 yıl önce

@clonerobotics No, thanks. I choose life.

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Roughneck Rooster1 yıl önce

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

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what in the what1 yıl önce

@clonerobotics

Benzer Videolar

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

142,447 görüntüleme • 1 yıl önce

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
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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 görüntüleme • 5 ay önce

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

165,655 görüntüleme • 1 yıl önce

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

27,839 görüntüleme • 1 ay önce

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

41,216 görüntüleme • 3 ay önce

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 görüntüleme • 10 ay önce

China unveils humanoid robot with lifelike skin and blinking eyes built for daily life | Prabhat Ranjan Mishra, Interesting Engineering Large Language Models (LLMs) and Vision-Language Models (VLMs) help process and interpret complex data from human interactions. A Shanghai-based company has developed humanoid robots that appear as real as humans. The advanced bionic humanoid robot is integrated with self-supervised AI algorithms. Named Elf V1, the robot can perceive the world, communicate, learn, and interact intelligently with its surroundings. Developed by AheadForm Technology, the robot offers up to 30 degrees of freedom, powered by a precise control system and an advanced AI learning algorithm. Robot offers expressive facial features The robot offers expressive facial features, moving eyes, and synchronized speech. It can also convey emotions and understand human non-verbal cues, making interactions more natural and engaging. The robot has highly interactive capabilities and lifelike appearances. AheadForm expects that its robots could soon seamlessly integrate into daily life, providing assistance, companionship, and support across various industries. “We believe that by developing realistic and expressive robot heads, we can bridge the gap between humans and machines, fostering a new era of interactive and intelligent robotics,” said the company in a statement. Reports revealed that to avoid the “uncanny valley” effect and be able to interact with us, they are given lifelike skin and capabilities to read our emotions and respond appropriately using dynamic expression simulation and emotion generation tech. Bionic skin and high-precision control system The Elf V1 series of humanoids features 30 facial muscles animated by brushless micro-motors and managed by a high-precision control system. Paired with an ability to detect their users’ emotions with low latency and bionic skin, their facial expressions are nearly identical to those of humans, reported CGTN. The company claims it’s pioneering the development of realistic humanoid robots designed to revolutionize human-robot interaction. It’s enhancing sophisticated humanoid robot heads that can express emotions, perceive their environment, and interact seamlessly with humans. By combining cutting-edge AI and advanced robotics, AheadForm aims to bring life to machines and transform how humans engage with technology. AI models boost robots’ responsiveness Seamless integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) into the humanoid robots can help them process and interpret complex data from human interactions, enabling the robot to learn and adapt in real-time, achieving human-level understanding and responsiveness. AheadForm uses Brushless Motors that deliver ultra-quiet operation and high responsiveness, specifically designed for precision facial movements in humanoid robots. With its compact size, lightweight design, and energy efficiency, this motor is the ideal choice for next-generation robots that require precise, subtle facial control to create a truly human-like experience. Previously, the company unveiled the Lan Series that features realistic humanoid robots with soft skin and 10 degrees of freedom, offering a lifelike appearance and intuitive movements. This series is designed for cost-efficiency, for applications prioritizing mobility and manipulation.
1:06

China unveils humanoid robot with lifelike skin and blinking eyes built for daily life | Prabhat Ranjan Mishra, Interesting Engineering Large Language Models (LLMs) and Vision-Language Models (VLMs) help process and interpret complex data from human interactions. A Shanghai-based company has developed humanoid robots that appear as real as humans. The advanced bionic humanoid robot is integrated with self-supervised AI algorithms. Named Elf V1, the robot can perceive the world, communicate, learn, and interact intelligently with its surroundings. Developed by AheadForm Technology, the robot offers up to 30 degrees of freedom, powered by a precise control system and an advanced AI learning algorithm. Robot offers expressive facial features The robot offers expressive facial features, moving eyes, and synchronized speech. It can also convey emotions and understand human non-verbal cues, making interactions more natural and engaging. The robot has highly interactive capabilities and lifelike appearances. AheadForm expects that its robots could soon seamlessly integrate into daily life, providing assistance, companionship, and support across various industries. “We believe that by developing realistic and expressive robot heads, we can bridge the gap between humans and machines, fostering a new era of interactive and intelligent robotics,” said the company in a statement. Reports revealed that to avoid the “uncanny valley” effect and be able to interact with us, they are given lifelike skin and capabilities to read our emotions and respond appropriately using dynamic expression simulation and emotion generation tech. Bionic skin and high-precision control system The Elf V1 series of humanoids features 30 facial muscles animated by brushless micro-motors and managed by a high-precision control system. Paired with an ability to detect their users’ emotions with low latency and bionic skin, their facial expressions are nearly identical to those of humans, reported CGTN. The company claims it’s pioneering the development of realistic humanoid robots designed to revolutionize human-robot interaction. It’s enhancing sophisticated humanoid robot heads that can express emotions, perceive their environment, and interact seamlessly with humans. By combining cutting-edge AI and advanced robotics, AheadForm aims to bring life to machines and transform how humans engage with technology. AI models boost robots’ responsiveness Seamless integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) into the humanoid robots can help them process and interpret complex data from human interactions, enabling the robot to learn and adapt in real-time, achieving human-level understanding and responsiveness. AheadForm uses Brushless Motors that deliver ultra-quiet operation and high responsiveness, specifically designed for precision facial movements in humanoid robots. With its compact size, lightweight design, and energy efficiency, this motor is the ideal choice for next-generation robots that require precise, subtle facial control to create a truly human-like experience. Previously, the company unveiled the Lan Series that features realistic humanoid robots with soft skin and 10 degrees of freedom, offering a lifelike appearance and intuitive movements. This series is designed for cost-efficiency, for applications prioritizing mobility and manipulation.

Owen Gregorian

179,005 görüntüleme • 9 ay önce

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 görüntüleme • 3 ay önce

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
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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

28,023 görüntüleme • 1 ay önce

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 görüntüleme • 1 yıl önce

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
0:55

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 görüntüleme • 5 ay önce

🇨🇦 ROBOT HANDS JUST LEVELED UP IN CANADA Sanctuary AI showed off a robotic hand that uses hydraulic power to grip, twist, and move like a real one. The hand can handle delicate objects, like dice, without crushing them, proving robots are getting scary precise. Hydraulic actuation gives the robot smoother, stronger control, making it better for heavy industrial work and tricky small tasks. This could change how robots work in factories, warehouses, or even in jobs too dangerous for humans. The future of robot hands? Less clunky claws, more human-like grip power with machine muscle. Source: Wevolver
1:36

🇨🇦 ROBOT HANDS JUST LEVELED UP IN CANADA Sanctuary AI showed off a robotic hand that uses hydraulic power to grip, twist, and move like a real one. The hand can handle delicate objects, like dice, without crushing them, proving robots are getting scary precise. Hydraulic actuation gives the robot smoother, stronger control, making it better for heavy industrial work and tricky small tasks. This could change how robots work in factories, warehouses, or even in jobs too dangerous for humans. The future of robot hands? Less clunky claws, more human-like grip power with machine muscle. Source: Wevolver

Mario Nawfal

50,661 görüntüleme • 11 ay önce

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 görüntüleme • 6 ay önce

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

1,205,312 görüntüleme • 2 ay önce

🦿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 görüntüleme • 9 ay önce

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

69,887 görüntüleme • 1 ay önce

Alarming New Video Shows Robot Making Incredibly Realistic Facial Expressions | Victor Tangermann, The_Byte A robotics company in China has shown off a humanoid robotic head that can express emotions through extremely subtle movements of its facial features. A video that has gone viral on social media shows the face glancing around the room with a quizzical expression. Its eyes blink in an eerily lifelike way, selling the illusion surprisingly well. Hangzhou, China-based outfit AheadForm, which is behind the impressive demo, claims on its website to combine "self-supervised AI algorithms" and wide-range "bionic actuation" to "express authentic emotions and lifelike facial expressions." The demo goes to show how far human mimicry in the field of humanoid robotics has come, landing in the furthest reaches of the uncanny valley. "Well... 'Westworld' is closer than I thought," one Reddit user pondered in response to the video, referring to the hit HBO sci-fi show — and 1973 movie, and Michael Crichton novel — about a fictional amusement park populated by android "hosts." AheadForm says it's already developed a series of "ultra-lifelike" humanoid "elves," which can "perceive the world, communicate, learn, and interact intelligently with its surroundings" thanks to an "advanced AI learning algorithm." According to the company's founder, Hu Yuhang, the lines between human and robot are bound to continue to blur, eventually becoming barely distinguishable from each other. "Within ten years, we might interact with robots and feel like they are almost human; maybe in 20 years, they could walk normally and perform some tasks just like a human," he told the South China Morning Post last year. For now, the humanoid robot industry's main focus is productivity, rather than mimicking human personality expressions. A growing cohort of companies, including Tesla, is aiming to replace human labor with their offerings, teach them how to kickbox, and selling them as the ultimate household aid. However, as Yuhang suggests, such a future appears to still be a long way out. Not everybody's convinced that bipedal robots are the answer, either, with some arguing that purpose-built industrial robots will always be a better option. In the meantime, AheadForm aims to prepare us for an android-filled future by using AI to make human-robot interactions more "natural and engaging." But given their robots' disconcertingly probing eyes, that won't be an easy task.
1:21

Alarming New Video Shows Robot Making Incredibly Realistic Facial Expressions | Victor Tangermann, The_Byte A robotics company in China has shown off a humanoid robotic head that can express emotions through extremely subtle movements of its facial features. A video that has gone viral on social media shows the face glancing around the room with a quizzical expression. Its eyes blink in an eerily lifelike way, selling the illusion surprisingly well. Hangzhou, China-based outfit AheadForm, which is behind the impressive demo, claims on its website to combine "self-supervised AI algorithms" and wide-range "bionic actuation" to "express authentic emotions and lifelike facial expressions." The demo goes to show how far human mimicry in the field of humanoid robotics has come, landing in the furthest reaches of the uncanny valley. "Well... 'Westworld' is closer than I thought," one Reddit user pondered in response to the video, referring to the hit HBO sci-fi show — and 1973 movie, and Michael Crichton novel — about a fictional amusement park populated by android "hosts." AheadForm says it's already developed a series of "ultra-lifelike" humanoid "elves," which can "perceive the world, communicate, learn, and interact intelligently with its surroundings" thanks to an "advanced AI learning algorithm." According to the company's founder, Hu Yuhang, the lines between human and robot are bound to continue to blur, eventually becoming barely distinguishable from each other. "Within ten years, we might interact with robots and feel like they are almost human; maybe in 20 years, they could walk normally and perform some tasks just like a human," he told the South China Morning Post last year. For now, the humanoid robot industry's main focus is productivity, rather than mimicking human personality expressions. A growing cohort of companies, including Tesla, is aiming to replace human labor with their offerings, teach them how to kickbox, and selling them as the ultimate household aid. However, as Yuhang suggests, such a future appears to still be a long way out. Not everybody's convinced that bipedal robots are the answer, either, with some arguing that purpose-built industrial robots will always be a better option. In the meantime, AheadForm aims to prepare us for an android-filled future by using AI to make human-robot interactions more "natural and engaging." But given their robots' disconcertingly probing eyes, that won't be an easy task.

Owen Gregorian

105,829 görüntüleme • 10 ay önce

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

2,720,819 görüntüleme • 3 ay önce

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.
0:28

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🤖

62,997 görüntüleme • 10 ay önce

Humanoids need a single, generalist control policy for all of their physical tasks, not a new one for every new chore or demo. A policy for walking can't dance. A policy for dancing can't support mowing the lawn. We need to scale up humanoid control for diverse behaviors, just like we did with language and video models. Watch this humanoid, supported by a single control policy, to start its day, mow the lawn, jog, dance, and even hold the elevator for a colleague. This is the "System 1" for humanoids—a robust, natural humanoid controller that will support general-purpose autonomy. Project Page: #Robotics #AI #NVIDIA #SONIC #FoundationModel 🤖🔥
1:33

Humanoids need a single, generalist control policy for all of their physical tasks, not a new one for every new chore or demo. A policy for walking can't dance. A policy for dancing can't support mowing the lawn. We need to scale up humanoid control for diverse behaviors, just like we did with language and video models. Watch this humanoid, supported by a single control policy, to start its day, mow the lawn, jog, dance, and even hold the elevator for a colleague. This is the "System 1" for humanoids—a robust, natural humanoid controller that will support general-purpose autonomy. Project Page: #Robotics #AI #NVIDIA #SONIC #FoundationModel 🤖🔥

Zhengyi “Zen” Luo

15,920 görüntüleme • 8 ay önce