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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...

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CyberRobo

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44,161 Aufrufe • vor 5 Monaten •via X (Twitter)

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

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

CyberRobo

28,240 Aufrufe • vor 3 Monaten

The first humanoid robot to walk itself off a production line XPENG’s IRON just came off its first mass-production line. And its first stop?-> An XPENG 4S store. it's born to work. Greeting customers. Guiding people around. Moving things. Taking on the repetitive tasks that make up everyday work. IRON is a highly human-like humanoid:full-body flexible skin, lattice bionic muscles, a human-like spine, with natural-language interaction and, apparently, the first humanoid robot proven to be non-human. So,IRON will start withstart with the jobs that are dangerous, repetitive, or simply no one wants to do, then move into more parts of everyday life. But getting a humanoid into the real world requires more than building the robot itself. XPENG had to build its humanoid production line from scratch. Automakers have decades of manufacturing experience to learn from. Humanoid robotics has no comparable playbook. XPENG’s 110,000㎡ humanoid robot production base in Guangzhou is built to support a target of 1,000 IRON units per month by year-end, with capacity ready to scale as market demand grows. From building the factory from zero to putting the robots to work in 4S stores. Soon, we’ll see the IRON fleet enter the real world.
2:27

The first humanoid robot to walk itself off a production line XPENG’s IRON just came off its first mass-production line. And its first stop?-> An XPENG 4S store. it's born to work. Greeting customers. Guiding people around. Moving things. Taking on the repetitive tasks that make up everyday work. IRON is a highly human-like humanoid:full-body flexible skin, lattice bionic muscles, a human-like spine, with natural-language interaction and, apparently, the first humanoid robot proven to be non-human. So,IRON will start withstart with the jobs that are dangerous, repetitive, or simply no one wants to do, then move into more parts of everyday life. But getting a humanoid into the real world requires more than building the robot itself. XPENG had to build its humanoid production line from scratch. Automakers have decades of manufacturing experience to learn from. Humanoid robotics has no comparable playbook. XPENG’s 110,000㎡ humanoid robot production base in Guangzhou is built to support a target of 1,000 IRON units per month by year-end, with capacity ready to scale as market demand grows. From building the factory from zero to putting the robots to work in 4S stores. Soon, we’ll see the IRON fleet enter the real world.

CyberRobo

14,831 Aufrufe • vor 6 Tagen

Researchers have presented Electrofluidic Fiber Muscles: a new class of artificial muscle fibers for robots and wearables. The new electrofluidic fiber muscles — electrically driven actuators built in fiber format — are described in a recent paper published in Science Robotics. The work is led by Media Lab PhD candidate Ozgun Kilic Afsar; Vito Cacucciolo, a professor at the Politecnico di Bari; and four co-authors. Unlike the rigid servo motors used in most robots, these fiber-shaped muscles are soft and flexible. They combine electrohydrodynamic (EHD) fiber pumps — slender tubes that move liquid using electric fields to generate pressure silently, with no moving parts — with fluid-filled fiber actuators. These artificial muscles could enable more agile untethered robots, as well as wearable assistive systems with compact actuation integrated directly into textiles. Video Credit: MIT Media Lab #engineering #technology #robotics #robots
0:37

Researchers have presented Electrofluidic Fiber Muscles: a new class of artificial muscle fibers for robots and wearables. The new electrofluidic fiber muscles — electrically driven actuators built in fiber format — are described in a recent paper published in Science Robotics. The work is led by Media Lab PhD candidate Ozgun Kilic Afsar; Vito Cacucciolo, a professor at the Politecnico di Bari; and four co-authors. Unlike the rigid servo motors used in most robots, these fiber-shaped muscles are soft and flexible. They combine electrohydrodynamic (EHD) fiber pumps — slender tubes that move liquid using electric fields to generate pressure silently, with no moving parts — with fluid-filled fiber actuators. These artificial muscles could enable more agile untethered robots, as well as wearable assistive systems with compact actuation integrated directly into textiles. Video Credit: MIT Media Lab #engineering #technology #robotics #robots

Wevolver

10,090 Aufrufe • vor 5 Monaten

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.
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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 Aufrufe • vor 7 Monaten

Everything Elon said about Optimus at the All-In Summit today: • We’re finalizing the design of Optimus v3. That release is going to be a very remarkable robot. It will have manual dexterity comparable to a human, meaning a very complex hand, an AI mind that can navigate and comprehend reality, and will be made in very high volume. • Other robotics companies are missing those three very hard things. • I spend more mental cycles on Optimus than any other single thing. Solving real-world AI, all of the electrical-mechanical issues, the supply chain, and production challenges. • There is no supply chain for humanoid robots, so it has to be created from scratch, which requires a lot of vertical integration. None of the actuators in Optimus are available from an existing supply chain. • I think if successful, Optimus would be the biggest product ever. • The marginal cost of production, once we hit a million units per year, will probably be around $20,000. It depends on how much we spend on the AI chip in the robot, and we’ll need to achieve a lot of efficiencies in the actuators—26 actuators per arm (26 motors, gearboxes, and power electronics). The AI chip might cost $5,000 or $6,000, maybe more. At 1 million units a year, production cost will be $20,000, maybe $25,000. Price will be a function of demand. • Human hands have evolved to be incredibly sophisticated machines. Hands are a very first instrument. You can swing a baseball bat, thread a needle, play a piano or violin, and assemble a car. Hands are incredibly versatile instruments. Most of the muscles of the hands are actually in the forearm, and the hand is almost like a puppet. Human tendon evolution is incredibly good. The human hand has 27 or 28 degrees of freedom, depending on how you count it; it’s amazing. • In order to create a robot that can be a generalized humanoid, you must solve the “hands problem.” • Even though there are 10,000 to 20,000 electric motors out there, we couldn’t buy the actuators for any amount of money. We had to design every electric motor, gearbox, and controlling electronics from scratch, from first principles of physics. • Optimus is harder than developing any previous Tesla product, but not harder than Starship. • Right now, we’re struggling with the final design of the hardware, primarily the hand. The hands and forearm are the majority of the engineering difficulty of the entire robot. • If you want to do all the things that a human can do, it turns out you need a humanoid robot. If you want to do a subset, that’s much easier. Humans evolved to the shape and capability that we have for a good reason. There is value to having four fingers and a thumb; even the pinky is quite useful. Toes are much more of a question mark. • The AI5 inference chip will be 40 times better than AI4 by some measures. We know the limiting factors of the chip because the AI software and hardware teams work so closely. Effectively, the Tesla AI hardware and software teams are co-designing the chip. • The Softmax function on AI4 takes 40 steps in emulation mode, which will take only a few steps in AI5 natively. AI5 will easily handle mixed precision. • In terms of nominal raw compute, the AI5 inference chip has 8 times more compute, 9 times more memory, and 5 times more memory bandwidth compared to AI4. Because we’re addressing some core limitations and optimizations at the silicon level, we’re able to realize 40x improvements.
12:26

Everything Elon said about Optimus at the All-In Summit today: • We’re finalizing the design of Optimus v3. That release is going to be a very remarkable robot. It will have manual dexterity comparable to a human, meaning a very complex hand, an AI mind that can navigate and comprehend reality, and will be made in very high volume. • Other robotics companies are missing those three very hard things. • I spend more mental cycles on Optimus than any other single thing. Solving real-world AI, all of the electrical-mechanical issues, the supply chain, and production challenges. • There is no supply chain for humanoid robots, so it has to be created from scratch, which requires a lot of vertical integration. None of the actuators in Optimus are available from an existing supply chain. • I think if successful, Optimus would be the biggest product ever. • The marginal cost of production, once we hit a million units per year, will probably be around $20,000. It depends on how much we spend on the AI chip in the robot, and we’ll need to achieve a lot of efficiencies in the actuators—26 actuators per arm (26 motors, gearboxes, and power electronics). The AI chip might cost $5,000 or $6,000, maybe more. At 1 million units a year, production cost will be $20,000, maybe $25,000. Price will be a function of demand. • Human hands have evolved to be incredibly sophisticated machines. Hands are a very first instrument. You can swing a baseball bat, thread a needle, play a piano or violin, and assemble a car. Hands are incredibly versatile instruments. Most of the muscles of the hands are actually in the forearm, and the hand is almost like a puppet. Human tendon evolution is incredibly good. The human hand has 27 or 28 degrees of freedom, depending on how you count it; it’s amazing. • In order to create a robot that can be a generalized humanoid, you must solve the “hands problem.” • Even though there are 10,000 to 20,000 electric motors out there, we couldn’t buy the actuators for any amount of money. We had to design every electric motor, gearbox, and controlling electronics from scratch, from first principles of physics. • Optimus is harder than developing any previous Tesla product, but not harder than Starship. • Right now, we’re struggling with the final design of the hardware, primarily the hand. The hands and forearm are the majority of the engineering difficulty of the entire robot. • If you want to do all the things that a human can do, it turns out you need a humanoid robot. If you want to do a subset, that’s much easier. Humans evolved to the shape and capability that we have for a good reason. There is value to having four fingers and a thumb; even the pinky is quite useful. Toes are much more of a question mark. • The AI5 inference chip will be 40 times better than AI4 by some measures. We know the limiting factors of the chip because the AI software and hardware teams work so closely. Effectively, the Tesla AI hardware and software teams are co-designing the chip. • The Softmax function on AI4 takes 40 steps in emulation mode, which will take only a few steps in AI5 natively. AI5 will easily handle mixed precision. • In terms of nominal raw compute, the AI5 inference chip has 8 times more compute, 9 times more memory, and 5 times more memory bandwidth compared to AI4. Because we’re addressing some core limitations and optimizations at the silicon level, we’re able to realize 40x improvements.

The Humanoid Hub

239,049 Aufrufe • vor 1 Jahr

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

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

Ed Krassenstein

29,566 Aufrufe • vor 1 Jahr

Figure AI, a 🇺🇸US humanoid robot startup, has ignited debate over robot commercialisation on industrial sites by livestreaming on YouTube a humanoid robot deployed at a logistics warehouse sorting packages non-stop for more than 81 hours, while it processed more than 100,000 packages. “Jim” visually recognizes boxes, identifies the orientation of labels, and moves them to designated locations—making all judgments using only its internal computer. It works autonomously without remote control. Expert opinions are divided. One expert described the demonstration as "closer to a science project than a fully commercial service." She cited accuracy as the biggest challenge, noting that scenes throughout the video showed the robot failing to place parcels in precise locations. Some point out that in actual logistics environments, precision matters more than speed, and areas such as handling exceptions or communication between workers remain difficult for robots at this stage. While the robot's sustainability in simple, repetitive tasks has been confirmed, additional verification remains before broad commercialization, observers said. When commercialised, Figure AI robots are expected to cost from $30,000 per unit.
0:22

Figure AI, a 🇺🇸US humanoid robot startup, has ignited debate over robot commercialisation on industrial sites by livestreaming on YouTube a humanoid robot deployed at a logistics warehouse sorting packages non-stop for more than 81 hours, while it processed more than 100,000 packages. “Jim” visually recognizes boxes, identifies the orientation of labels, and moves them to designated locations—making all judgments using only its internal computer. It works autonomously without remote control. Expert opinions are divided. One expert described the demonstration as "closer to a science project than a fully commercial service." She cited accuracy as the biggest challenge, noting that scenes throughout the video showed the robot failing to place parcels in precise locations. Some point out that in actual logistics environments, precision matters more than speed, and areas such as handling exceptions or communication between workers remain difficult for robots at this stage. While the robot's sustainability in simple, repetitive tasks has been confirmed, additional verification remains before broad commercialization, observers said. When commercialised, Figure AI robots are expected to cost from $30,000 per unit.

Dovydas Vitkauskas

21,911 Aufrufe • vor 4 Monaten

XMAQUINA NEURA Transaction Initiated ✅ A new chapter begins. Following BOT-09 approval, the Execution Engine has moved forward to secure a $1.75M position in NEURA Robotics’ Series C. This marks more than just a transaction. It represents belief in the future of Physical AI and humanoid intelligence. This allocation is progressing through a structured, multi step equity process, managed by a licensed intermediary and secured through escrow. Each phase ensures transparency, security, and alignment with long term ownership goals. Final ownership will only be confirmed once the final step is completed. While delays or adjustments are uncommon, this careful approach protects the integrity of the process and the DAO’s position. At the center of this move stands the 4NE-1 humanoid robot built to bring human level precision, adaptability, and real world utility to both industrial and domestic environments. From autonomous mobility to advanced sensor intelligence, this technology represents a shift toward cognitive machines that collaborate with humans. This is more than an investment. It’s participation in the emergence of the humanoid era. Track the DAO’s allocation and follow the journey as Physical AI continues to evolve. 🤖 XMAQUINA
0:21

XMAQUINA NEURA Transaction Initiated ✅ A new chapter begins. Following BOT-09 approval, the Execution Engine has moved forward to secure a $1.75M position in NEURA Robotics’ Series C. This marks more than just a transaction. It represents belief in the future of Physical AI and humanoid intelligence. This allocation is progressing through a structured, multi step equity process, managed by a licensed intermediary and secured through escrow. Each phase ensures transparency, security, and alignment with long term ownership goals. Final ownership will only be confirmed once the final step is completed. While delays or adjustments are uncommon, this careful approach protects the integrity of the process and the DAO’s position. At the center of this move stands the 4NE-1 humanoid robot built to bring human level precision, adaptability, and real world utility to both industrial and domestic environments. From autonomous mobility to advanced sensor intelligence, this technology represents a shift toward cognitive machines that collaborate with humans. This is more than an investment. It’s participation in the emergence of the humanoid era. Track the DAO’s allocation and follow the journey as Physical AI continues to evolve. 🤖 XMAQUINA

Baki

10,690 Aufrufe • vor 7 Monaten

A new member joins the European humanoid robot team. German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world. It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities. Soon, Europe will enter its second wave of automation driven by intelligent technology.
1:32

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

CyberRobo

72,567 Aufrufe • vor 9 Monaten

I don’t know if we live in a Matrix, but I know for sure that robots will spend most of their lives in simulation. Let machines train machines. I’m excited to introduce DexMimicGen, a massive-scale synthetic data generator that enables a humanoid robot to learn complex skills from only a handful of human demonstrations. Yes, as few as 5! DexMimicGen addresses the biggest pain point in robotics: where do we get data? Unlike with LLMs, where vast amounts of texts are readily available, you cannot simply download motor control signals from the internet. So researchers teleoperate the robots to collect motion data via XR headsets. They have to repeat the same skill over and over and over again, because neural nets are data hungry. This is a very slow and uncomfortable process. At NVIDIA, we believe the majority of high-quality tokens for robot foundation models will come from simulation. What DexMimicGen does is to trade GPU compute time for human time. It takes one motion trajectory from human, and multiplies into 1000s of new trajectories. A robot brain trained on this augmented dataset will generalize far better in the real world. Think of DexMimicGen as a learning signal amplifier. It maps a small dataset to a large (de facto infinite) dataset, using physics simulation in the loop. In this way, we free humans from babysitting the bots all day. The future of robot data is generative. The future of the entire robot learning pipeline will also be generative. 🧵
0:58

I don’t know if we live in a Matrix, but I know for sure that robots will spend most of their lives in simulation. Let machines train machines. I’m excited to introduce DexMimicGen, a massive-scale synthetic data generator that enables a humanoid robot to learn complex skills from only a handful of human demonstrations. Yes, as few as 5! DexMimicGen addresses the biggest pain point in robotics: where do we get data? Unlike with LLMs, where vast amounts of texts are readily available, you cannot simply download motor control signals from the internet. So researchers teleoperate the robots to collect motion data via XR headsets. They have to repeat the same skill over and over and over again, because neural nets are data hungry. This is a very slow and uncomfortable process. At NVIDIA, we believe the majority of high-quality tokens for robot foundation models will come from simulation. What DexMimicGen does is to trade GPU compute time for human time. It takes one motion trajectory from human, and multiplies into 1000s of new trajectories. A robot brain trained on this augmented dataset will generalize far better in the real world. Think of DexMimicGen as a learning signal amplifier. It maps a small dataset to a large (de facto infinite) dataset, using physics simulation in the loop. In this way, we free humans from babysitting the bots all day. The future of robot data is generative. The future of the entire robot learning pipeline will also be generative. 🧵

Jim Fan

165,246 Aufrufe • vor 1 Jahr

A robot with wheels and legs! 🦿 Wheeled mobile robots are popular in many fields because they are stable, efficient, and simple to build. However, they often occupy more space than humans and struggle to navigate crowded hallways, ramps, or elevators. 🛗 To address this, a robot developed at the Korea University of Technology and Education combines legs for extra support and mecanum wheels for smooth, all-directional movement. It has a slim, human-like design with four wheel-leg mechanisms, each using a special 2-DOF leg and a mecanum wheel. A unique mechanism keeps the wheels steady while the legs move, helping the robot stay agile and absorb shocks. The design also reduces strain on the motors, making it more efficient. Tests showed that the robot could move quickly, climb steps, and navigate elevators with people. Research paper in the comments! 🗞️ ~~~ ♻️ R to help 1 robot find a new workplace.
2:35

A robot with wheels and legs! 🦿 Wheeled mobile robots are popular in many fields because they are stable, efficient, and simple to build. However, they often occupy more space than humans and struggle to navigate crowded hallways, ramps, or elevators. 🛗 To address this, a robot developed at the Korea University of Technology and Education combines legs for extra support and mecanum wheels for smooth, all-directional movement. It has a slim, human-like design with four wheel-leg mechanisms, each using a special 2-DOF leg and a mecanum wheel. A unique mechanism keeps the wheels steady while the legs move, helping the robot stay agile and absorb shocks. The design also reduces strain on the motors, making it more efficient. Tests showed that the robot could move quickly, climb steps, and navigate elevators with people. Research paper in the comments! 🗞️ ~~~ ♻️ R to help 1 robot find a new workplace.

Lukas Ziegler

36,059 Aufrufe • vor 1 Jahr

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

1,207,572 Aufrufe • vor 4 Monaten

ELON MUSK: "In the future, the robots will make so many robots, that they will actually saturate all human needs, meaning you won't be able to even think of something to ask the robot for at a certain point, like there will be such an abundance of goods and services. There'll be more robots than people. I think everyone on earth is going to have one humanoid robot because you would want a robot to watch over your kids, take care of your pet, take care of elderly parents. I'm very optimistic about the future. I think we're headed for a future of amazing abundance, which is very cool. Definitely we are in the most interesting time in history."
2:37

ELON MUSK: "In the future, the robots will make so many robots, that they will actually saturate all human needs, meaning you won't be able to even think of something to ask the robot for at a certain point, like there will be such an abundance of goods and services. There'll be more robots than people. I think everyone on earth is going to have one humanoid robot because you would want a robot to watch over your kids, take care of your pet, take care of elderly parents. I'm very optimistic about the future. I think we're headed for a future of amazing abundance, which is very cool. Definitely we are in the most interesting time in history."

DogeDesigner

670,634 Aufrufe • vor 5 Monaten