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Awesome! This is literally a superhuman hand. 🤖✋ ChangingTek Robotics just dropped a dexterous hand that actually morphs between left and right hand configurations on the fly. It uses cable-driven tech to pull off shapes and reverse bends that human hands can't even dream of doing. The power is...

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13,855 views • 5 months ago •via X (Twitter)

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Holy… 🤯 this is literally a superhuman hand. One hand can act as both a left and a right hand. Depending on the task or the object being grasped, it can autonomously switch between left-hand and right-hand configurations, bend in reverse, and achieve degrees of freedom beyond a human hand,maximizing the efficiency of a single hand. it comes from a company in Jiangsu called ChangingTek Robotics. You could say the hand is a bit like an octopus,but it isn’t soft. It’s rigid and capable of gripping tools like wrenches, screwdrivers, drinks, and basically almost any object.
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Holy… 🤯 this is literally a superhuman hand. One hand can act as both a left and a right hand. Depending on the task or the object being grasped, it can autonomously switch between left-hand and right-hand configurations, bend in reverse, and achieve degrees of freedom beyond a human hand,maximizing the efficiency of a single hand. it comes from a company in Jiangsu called ChangingTek Robotics. You could say the hand is a bit like an octopus,but it isn’t soft. It’s rigid and capable of gripping tools like wrenches, screwdrivers, drinks, and basically almost any object.

CyberRobo

65,363 views • 5 months ago

This looks like another step toward removing the data bottleneck in robotics. The bottleneck exists because recording demonstrations is easy, but labeling every grasp, hold, move, and release is slow and expensive. Perceptron Egocentric dropped a new robotics video annotation system. You give it raw robot-camera or first-person/egocentric video. It gives back structured labels that look more like training data: where each small manipulation starts and ends, what the subtask is, what each hand is doing, where the hands are frame by frame, and which hand is left or right. So, Input: raw video of a person or robot doing a task. Output: a machine-readable breakdown of the physical actions inside that video. Basically, it is a machine that converts robot video into policy-training supervision. That means timestamps, subtask boundaries, per-hand actions, and left-right hand grounding. So this will turn large piles of robot or egocentric video into supervision for training robot policies.
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This looks like another step toward removing the data bottleneck in robotics. The bottleneck exists because recording demonstrations is easy, but labeling every grasp, hold, move, and release is slow and expensive. Perceptron Egocentric dropped a new robotics video annotation system. You give it raw robot-camera or first-person/egocentric video. It gives back structured labels that look more like training data: where each small manipulation starts and ends, what the subtask is, what each hand is doing, where the hands are frame by frame, and which hand is left or right. So, Input: raw video of a person or robot doing a task. Output: a machine-readable breakdown of the physical actions inside that video. Basically, it is a machine that converts robot video into policy-training supervision. That means timestamps, subtask boundaries, per-hand actions, and left-right hand grounding. So this will turn large piles of robot or egocentric video into supervision for training robot policies.

Rohan Paul

18,903 views • 1 month ago

So cool! Can you even tell this is a robot horse? 🤖🐎 DEEP Robotics has built a robot horse, seemingly a special Year of the Horse limited edition based on their M20 Pro. The bionic details on this machine are incredible, especially those lifelike hooves. It looks like a living creature rather than just another quadruped robot. It is amazing to see a quad robot move so smoothly while having such a realistic animal appearance. Source: DEEP Robotics #Robot #Quadruped #Robotics #AI #EmbodiedAI #PhysicalAI #DEEPRobotics #Bionics #TechDesign
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So cool! Can you even tell this is a robot horse? 🤖🐎 DEEP Robotics has built a robot horse, seemingly a special Year of the Horse limited edition based on their M20 Pro. The bionic details on this machine are incredible, especially those lifelike hooves. It looks like a living creature rather than just another quadruped robot. It is amazing to see a quad robot move so smoothly while having such a realistic animal appearance. Source: DEEP Robotics #Robot #Quadruped #Robotics #AI #EmbodiedAI #PhysicalAI #DEEPRobotics #Bionics #TechDesign

RoboHub🤖

94,254 views • 5 months ago

How can we build robotic hands with truly superhuman dexterity? Daxo Robotics is developing a unique tendon-driven soft robot hand, which aims to be tougher and more capable than a traditional humanoid hand. Each finger consists of many different tendons, which act in concert to move or manipulate. This is a special episode of RoboPapers where, instead of talking about a scientific paper, we talk to Tom Zhang, founder of Daxo Robotics, in order to learn both about his background and about how this one-of-a-kind robot hand design works. Watch Episode #40 of RoboPapers with Michael Cho - Rbt/Acc and Chris Paxton now!
1:01:15

How can we build robotic hands with truly superhuman dexterity? Daxo Robotics is developing a unique tendon-driven soft robot hand, which aims to be tougher and more capable than a traditional humanoid hand. Each finger consists of many different tendons, which act in concert to move or manipulate. This is a special episode of RoboPapers where, instead of talking about a scientific paper, we talk to Tom Zhang, founder of Daxo Robotics, in order to learn both about his background and about how this one-of-a-kind robot hand design works. Watch Episode #40 of RoboPapers with Michael Cho - Rbt/Acc and Chris Paxton now!

RoboPapers

16,321 views • 9 months ago

Allonic Robotics has introduced a new robotic hand built without screws, cables, or complex joints. It uses braided fibers to create both tendons and structure in a single automated step, making it strong, flexible, and smooth in motion. This approach could simplify manufacturing and speed up the production of robotic hands.
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Allonic Robotics has introduced a new robotic hand built without screws, cables, or complex joints. It uses braided fibers to create both tendons and structure in a single automated step, making it strong, flexible, and smooth in motion. This approach could simplify manufacturing and speed up the production of robotic hands.

Space and Technology

292,326 views • 4 months ago

Elon Musk: The hand is extremely complex. There are 50 actuators in the hand and forearm Actuator is the motor, gearbox, and power electronics. so that's 100 per robot. There's a lot of complexity So, in order to do dextrous tasks, you have to have a hand with the sensitivity, precision, and degrees of freedom of a human hand. Something we find easy to do, like pick up a screwdriver or turn a wrench, or even say thread a needle, or play the guitar, actually require a lot of dexterity
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Elon Musk: The hand is extremely complex. There are 50 actuators in the hand and forearm Actuator is the motor, gearbox, and power electronics. so that's 100 per robot. There's a lot of complexity So, in order to do dextrous tasks, you have to have a hand with the sensitivity, precision, and degrees of freedom of a human hand. Something we find easy to do, like pick up a screwdriver or turn a wrench, or even say thread a needle, or play the guitar, actually require a lot of dexterity

X Freeze

66,258 views • 9 months ago

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 views • 2 months ago

Hands are as important as the brain. From Shenzhen, Stella Robot has unveiled the PANTHEON HAND 22:a new generation of bionic dexterous hand that combines 22 degrees of freedom with remarkable strength and finesse. It’s a hand that truly understands precision. It can lift 30 kilograms, yet is delicate enough to thread a needle.Each finger can bear 1.5 kilograms, and the entire hand can gently hold a piece of tofu or sense the subtle expansion of a balloon. Powered by a tendon-driven mechanism with integrated actuators inside the forearm, it achieves compact design and natural, human-like movement. From precision assembly and component handling to material transport and human-robot collaboration,the PANTHEON HAND 22 shows what it means for humanoid robots to truly work with their hands.
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Hands are as important as the brain. From Shenzhen, Stella Robot has unveiled the PANTHEON HAND 22:a new generation of bionic dexterous hand that combines 22 degrees of freedom with remarkable strength and finesse. It’s a hand that truly understands precision. It can lift 30 kilograms, yet is delicate enough to thread a needle.Each finger can bear 1.5 kilograms, and the entire hand can gently hold a piece of tofu or sense the subtle expansion of a balloon. Powered by a tendon-driven mechanism with integrated actuators inside the forearm, it achieves compact design and natural, human-like movement. From precision assembly and component handling to material transport and human-robot collaboration,the PANTHEON HAND 22 shows what it means for humanoid robots to truly work with their hands.

CyberRobo

26,867 views • 10 months ago

Xynova just launched Flex 2, its second-gen hybrid dexterous hand — and Xiaomi is already on the cap table. 🤖✋ The spec sheet is sharp: 23 DOF, 400g palm, ±0.1mm repeatability, 0.05N force control, 12kg single-hand grasp load, and multimodal sensing for adaptive grasping and slip detection. Xynova is not only building a robotic hand. It is building the manipulation stack around it: micro linear actuators, joint modules, sensing, control, and developer-facing integration. The Xiaomi link is confirmed. Xiaomi Strategic Investment joined Xynova’s angel round and continued adding in the Pre-A round. What is not confirmed: whether Xiaomi’s own robot hand uses Xynova’s technology. That detail still has no public proof. But the direction is clear: Xiaomi is putting money into the component layer that decides whether humanoids can actually handle objects, tools, and daily tasks. This is the part of robotics that rarely looks flashy on stage. But it decides what a robot can really do with its hands.
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Xynova just launched Flex 2, its second-gen hybrid dexterous hand — and Xiaomi is already on the cap table. 🤖✋ The spec sheet is sharp: 23 DOF, 400g palm, ±0.1mm repeatability, 0.05N force control, 12kg single-hand grasp load, and multimodal sensing for adaptive grasping and slip detection. Xynova is not only building a robotic hand. It is building the manipulation stack around it: micro linear actuators, joint modules, sensing, control, and developer-facing integration. The Xiaomi link is confirmed. Xiaomi Strategic Investment joined Xynova’s angel round and continued adding in the Pre-A round. What is not confirmed: whether Xiaomi’s own robot hand uses Xynova’s technology. That detail still has no public proof. But the direction is clear: Xiaomi is putting money into the component layer that decides whether humanoids can actually handle objects, tools, and daily tasks. This is the part of robotics that rarely looks flashy on stage. But it decides what a robot can really do with its hands.

RoboHub🤖

71,176 views • 3 months ago

Can a dexterous hand still function after being run over by a 2-ton car? The dexterous hand is the most expensive component of a humanoid robot, and if it breaks, the task is interrupted. Hangzhou BrainCo conducted a rigorous test on its latest dexterous hand, Revo2: it was run over by a nearly 2-ton Volvo car, dropped from a height of 5m, dropped 30m, and subjected to forceful impacts from a Unitree G1 robot. It still managed to maintain a stable grip and continue operating. Revo2 is BrainCo's next-generation dexterous/bionic hand, released last year. yes, a human-robot hybrid hand. It's very light, only 383g, 20kg payload,capable of precision manipulation down to 0.1mm (such as threading a needle), and possesses multi-dimensional tactile perception (hardness, texture, direction, proximity, etc.). This test also demonstrates that after achieving breakthroughs in performance, a dexterous hand also needs to be extremely durable and able to function under extreme environmental pressures.
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Can a dexterous hand still function after being run over by a 2-ton car? The dexterous hand is the most expensive component of a humanoid robot, and if it breaks, the task is interrupted. Hangzhou BrainCo conducted a rigorous test on its latest dexterous hand, Revo2: it was run over by a nearly 2-ton Volvo car, dropped from a height of 5m, dropped 30m, and subjected to forceful impacts from a Unitree G1 robot. It still managed to maintain a stable grip and continue operating. Revo2 is BrainCo's next-generation dexterous/bionic hand, released last year. yes, a human-robot hybrid hand. It's very light, only 383g, 20kg payload,capable of precision manipulation down to 0.1mm (such as threading a needle), and possesses multi-dimensional tactile perception (hardness, texture, direction, proximity, etc.). This test also demonstrates that after achieving breakthroughs in performance, a dexterous hand also needs to be extremely durable and able to function under extreme environmental pressures.

CyberRobo

45,434 views • 6 months ago

Feeling what a robot feels is becoming real! 🫰 Fluid Reality just ran its first full end-to-end touch teleoperation system, and the demo shows why high-resolution haptics might be the missing piece in robot control. A 22 mm fingertip display with 32 independently actuated “bubbles” was mapped directly to tactile sensors on a robot hand. 🫧 Three fingers streamed real-time touch data robot → human, giving the operator actual contact feedback instead of waving their hands blind, like most teleop systems today. It’s still early, but this is a real step toward dexterous ops and high-quality data for training Physical AI systems. Companies involved: Samsung Electronics, Alt-Bionics, Inc. (the robot hand), MANUS™ (hand tracking), and Sensible Robotics (fingertip sensors) Touch isn’t a nice-to-have in robotics. It’s the difference between manipulation that works in the real world P.S. Guess how many touch receptors we humans, have in our hand! :) ~~ ♻ Join the weekly robotics newsletter, and never miss any news →
1:23

Feeling what a robot feels is becoming real! 🫰 Fluid Reality just ran its first full end-to-end touch teleoperation system, and the demo shows why high-resolution haptics might be the missing piece in robot control. A 22 mm fingertip display with 32 independently actuated “bubbles” was mapped directly to tactile sensors on a robot hand. 🫧 Three fingers streamed real-time touch data robot → human, giving the operator actual contact feedback instead of waving their hands blind, like most teleop systems today. It’s still early, but this is a real step toward dexterous ops and high-quality data for training Physical AI systems. Companies involved: Samsung Electronics, Alt-Bionics, Inc. (the robot hand), MANUS™ (hand tracking), and Sensible Robotics (fingertip sensors) Touch isn’t a nice-to-have in robotics. It’s the difference between manipulation that works in the real world P.S. Guess how many touch receptors we humans, have in our hand! :) ~~ ♻ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

46,927 views • 8 months ago

.Brett Adcock explains why Figure pivoted away from designing their humanoid robot's hands after human hands: "This is extremely important. If we want to solve AGI and get to human intelligence in the physical world—it's all going to start with the hands." "Our first-generation hand is a tendon-driven hand." "The rationale here is that a human hand is like this: most of our motors are in our forearm and little tendons drive all the fingers." "It ended up becoming the wrong engineering choice." "We recently unveiled our high degree of freedom, next-generation hand a month ago. This hand has human-level dexterity, as many joints in the hand as a human."
3:14

.Brett Adcock explains why Figure pivoted away from designing their humanoid robot's hands after human hands: "This is extremely important. If we want to solve AGI and get to human intelligence in the physical world—it's all going to start with the hands." "Our first-generation hand is a tendon-driven hand." "The rationale here is that a human hand is like this: most of our motors are in our forearm and little tendons drive all the fingers." "It ended up becoming the wrong engineering choice." "We recently unveiled our high degree of freedom, next-generation hand a month ago. This hand has human-level dexterity, as many joints in the hand as a human."

sourcery

316,921 views • 9 days ago

Humanoid Long Jump. The G1 humanoid from Unitree Robotics has completed a long jump of 1.4 meters - possibly the longest jump ever achieved by a humanoid robot of its size in the world, standing only 1.32 meters tall. The G1 has up to 43 joint motors and a dexterous three-fingered hand, designed for precise manipulation and AI research. Priced from $16,000, it features robust Sim2Real capabilities, making it a compelling choice for robotics developers.
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Humanoid Long Jump. The G1 humanoid from Unitree Robotics has completed a long jump of 1.4 meters - possibly the longest jump ever achieved by a humanoid robot of its size in the world, standing only 1.32 meters tall. The G1 has up to 43 joint motors and a dexterous three-fingered hand, designed for precise manipulation and AI research. Priced from $16,000, it features robust Sim2Real capabilities, making it a compelling choice for robotics developers.

Circuit

26,485 views • 1 year ago

New human-like hand A year later, WUJI TECH upgraded the dexterous hand and released Wuji Hand2: Unlike traditional tendon/cable drives, it uses Direct Drive self-locking rotary joints, with each joint driven independently. Lighter and more efficient than the first generation… This is a CG,the actual hand was showcased at ICRA 2026 in Vienna, Austria.
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New human-like hand A year later, WUJI TECH upgraded the dexterous hand and released Wuji Hand2: Unlike traditional tendon/cable drives, it uses Direct Drive self-locking rotary joints, with each joint driven independently. Lighter and more efficient than the first generation… This is a CG,the actual hand was showcased at ICRA 2026 in Vienna, Austria.

CyberRobo

23,565 views • 2 months ago

Open-source robot arm meets hand tracking [📍GitHub below] It is designed with an industrial mindset but built as a 3D-printed desktop system. PAROL6 paired with a LEAP Motion controller is a nice example of how accessible robot teleoperation has become. • Hand motion is streamed to the robot at 100 Hz via UDP • A pneumatic gripper is controlled by simple fist open and close gestures • The entire robot stack is open source, from mechanics to control software Combine that with low-latency hand tracking and you get a very practical platform for learning manipulation, teleoperation, and human-robot interfaces. This kind of setup is great for experimentation, teleop, data collection, and teaching robots by demonstration All without proprietary hardware or locked software. Credit to SourceRobotics 📍Code: —— Weekly robotics and AI insights. Subscribe free:
0:35

Open-source robot arm meets hand tracking [📍GitHub below] It is designed with an industrial mindset but built as a 3D-printed desktop system. PAROL6 paired with a LEAP Motion controller is a nice example of how accessible robot teleoperation has become. • Hand motion is streamed to the robot at 100 Hz via UDP • A pneumatic gripper is controlled by simple fist open and close gestures • The entire robot stack is open source, from mechanics to control software Combine that with low-latency hand tracking and you get a very practical platform for learning manipulation, teleoperation, and human-robot interfaces. This kind of setup is great for experimentation, teleop, data collection, and teaching robots by demonstration All without proprietary hardware or locked software. Credit to SourceRobotics 📍Code: —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

32,025 views • 6 months ago

Building a fully actuated, human-level robotic hand by strength, speed, and range of motion is hard. Making it incredibly durable is even more challenging. Clone has pioneered anthropomorphic hands with 27 degrees of freedom, human-level grip strength and speed, and the most durable artificial muscles in the world. The Hand in this demo is missing middle flexor muscles, but here’s an update on the neural joint controller.
0:59

Building a fully actuated, human-level robotic hand by strength, speed, and range of motion is hard. Making it incredibly durable is even more challenging. Clone has pioneered anthropomorphic hands with 27 degrees of freedom, human-level grip strength and speed, and the most durable artificial muscles in the world. The Hand in this demo is missing middle flexor muscles, but here’s an update on the neural joint controller.

Clone

63,186 views • 9 months ago

Pretty hand👋 just like a real human hand. Hangzhou Xynova unveils the Flex 2 Hybrid-Drive Dexterous Hand (Cable-Driven + Direct-Driven). Tactile Perception, and the camera is positioned at the wrist joint rather than in the center of the palm. They will showcase the physical hand at ICRA 2026 in Vienna. (Humans have continuously replicated the hand that evolved two million years ago, while attempting to coordinate hand and brain.)
0:49

Pretty hand👋 just like a real human hand. Hangzhou Xynova unveils the Flex 2 Hybrid-Drive Dexterous Hand (Cable-Driven + Direct-Driven). Tactile Perception, and the camera is positioned at the wrist joint rather than in the center of the palm. They will showcase the physical hand at ICRA 2026 in Vienna. (Humans have continuously replicated the hand that evolved two million years ago, while attempting to coordinate hand and brain.)

CyberRobo

287,155 views • 3 months ago

NVIDIA just announced EgoScale 🤖🧠 NVIDIA Research has uncovered a log-linear scaling law for robot dexterity by pretraining VLA models on over 20,000 hours of egocentric human video This massive dataset is 20 times larger than previous efforts and proves that robot intelligence follows a predictable path: the more human data, the lower the loss The secret is a simple recipe combining large-scale human pretraining with a small amount of aligned human-robot mid-training to bridge the gap In testing, this method boosted the average success rate by 54% on a 22-DoF robotic hand compared to policies built without pretraining EgoScale also enables one-shot task adaptation and works across different hardware, suggesting that human motion is a universal motor prior for robots Website: Paper: Source: NVIDIA Research #Robot #Humanoid #Robotics #AI #EmbodiedAI #PhysicalAI #NVIDIA #EgoScale #GR00T
1:25

NVIDIA just announced EgoScale 🤖🧠 NVIDIA Research has uncovered a log-linear scaling law for robot dexterity by pretraining VLA models on over 20,000 hours of egocentric human video This massive dataset is 20 times larger than previous efforts and proves that robot intelligence follows a predictable path: the more human data, the lower the loss The secret is a simple recipe combining large-scale human pretraining with a small amount of aligned human-robot mid-training to bridge the gap In testing, this method boosted the average success rate by 54% on a 22-DoF robotic hand compared to policies built without pretraining EgoScale also enables one-shot task adaptation and works across different hardware, suggesting that human motion is a universal motor prior for robots Website: Paper: Source: NVIDIA Research #Robot #Humanoid #Robotics #AI #EmbodiedAI #PhysicalAI #NVIDIA #EgoScale #GR00T

RoboHub🤖

43,752 views • 5 months ago