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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...

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CyberRobo

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45,434 просмотров • 5 месяцев назад •via X (Twitter)

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A dexterous hand capable of operating an iPhone Impressive, with nimble fingertip control. INSPIRE ROBOTS from Beijing has released a new dexterous hand featuring tactile and force sensing, and equipped with a motion library, making it ready to use right out of the box. Especially noteworthy is the modular finger design, allowing users to easily replace a damaged finger. With 13 degrees of freedom and a single-hand load capacity of 30kg, it can be used in general applications such as factory component handling, precision assembly, and warehouse logistics sorting. Notably, this company has already sold over 10,000 of these dexterous hands.
1:44

A dexterous hand capable of operating an iPhone Impressive, with nimble fingertip control. INSPIRE ROBOTS from Beijing has released a new dexterous hand featuring tactile and force sensing, and equipped with a motion library, making it ready to use right out of the box. Especially noteworthy is the modular finger design, allowing users to easily replace a damaged finger. With 13 degrees of freedom and a single-hand load capacity of 30kg, it can be used in general applications such as factory component handling, precision assembly, and warehouse logistics sorting. Notably, this company has already sold over 10,000 of these dexterous hands.

CyberRobo

14,196 просмотров • 7 месяцев назад

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 просмотров • 9 месяцев назад

Linkerbot Unveils a Lightweight, High-Performance Dexterous Hand Priced Under $1K Linkerbot has just launched the Linker Hand O6, a new cost-effective and high-performance dexterous hand. It's designed to be lightweight and compact, weighing just 370g—around the size of a female hand. ► The hand features a total of 11 degrees of freedom (6 active, 5 passive). ► It utilizes new aerospace-grade materials, giving it an extremely low weight and an impressive payload capacity of over 30kg. ► Priced at just 6,666 RMB (approximately $912 USD), the Linker Hand O6 is positioned as a "small yet powerful" high-performance, cost-effective option.
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Linkerbot Unveils a Lightweight, High-Performance Dexterous Hand Priced Under $1K Linkerbot has just launched the Linker Hand O6, a new cost-effective and high-performance dexterous hand. It's designed to be lightweight and compact, weighing just 370g—around the size of a female hand. ► The hand features a total of 11 degrees of freedom (6 active, 5 passive). ► It utilizes new aerospace-grade materials, giving it an extremely low weight and an impressive payload capacity of over 30kg. ► Priced at just 6,666 RMB (approximately $912 USD), the Linker Hand O6 is positioned as a "small yet powerful" high-performance, cost-effective option.

RoboHub🤖

50,892 просмотров • 10 месяцев назад

Catching up with China and the US, LG's humanoid robot, KAPEX, was developed jointly with the Korea Institute of Science and Technology (KIST). It is powered by LG's Exaone visual language model, high-end Korean actuators, and a multi-tactile dexterous hand. The humanoid robot is scheduled to be released in November of this year. LG announced its entry into the home humanoid robot market at CES 2025, but first unveiled an AI robot codenamed Q9 as a base model.
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Catching up with China and the US, LG's humanoid robot, KAPEX, was developed jointly with the Korea Institute of Science and Technology (KIST). It is powered by LG's Exaone visual language model, high-end Korean actuators, and a multi-tactile dexterous hand. The humanoid robot is scheduled to be released in November of this year. LG announced its entry into the home humanoid robot market at CES 2025, but first unveiled an AI robot codenamed Q9 as a base model.

CyberRobo

25,668 просмотров • 9 месяцев назад

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 просмотров • 1 год назад

Engineers at 1X have developed a 25-degree-of-freedom humanoid robot hand for advanced dexterous manipulation. It uses force sensors in every joint and fingertips to detect pressure, slipping, and automatically adjust its grip. Its lightweight, waterproof design allows the NEO humanoid robot to safely wash its hands after cooking or other messy tasks.
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Engineers at 1X have developed a 25-degree-of-freedom humanoid robot hand for advanced dexterous manipulation. It uses force sensors in every joint and fingertips to detect pressure, slipping, and automatically adjust its grip. Its lightweight, waterproof design allows the NEO humanoid robot to safely wash its hands after cooking or other messy tasks.

Space and Technology

26,780 просмотров • 18 дней назад

From day one, mimic has been focused on a single goal: general-purpose dexterous manipulation. Today we're proud to announce the mimic hand M1 and the mimic wearable U1. We believe the only way to solve dexterous manipulation at scale is by going full-stack at the frontier of physical AI, building every layer ourselves around one fixed point, the human hand. The M1 is a highly backdrivable, tendon-driven hand that covers the full range of human capability, from heavy payloads to fine manipulation.
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From day one, mimic has been focused on a single goal: general-purpose dexterous manipulation. Today we're proud to announce the mimic hand M1 and the mimic wearable U1. We believe the only way to solve dexterous manipulation at scale is by going full-stack at the frontier of physical AI, building every layer ourselves around one fixed point, the human hand. The M1 is a highly backdrivable, tendon-driven hand that covers the full range of human capability, from heavy payloads to fine manipulation.

mimic

90,246 просмотров • 15 дней назад

Kinetix AI has teased KAI, its new humanoid robot -engineered with 36 degrees of freedom, more than any previous model, a hybrid dexterous hand, and 18,000 sensors embedded across a soft, flexible body-positioning it as the most human-like robotic system to date. Getting closer to real humanoid robots each day.
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Kinetix AI has teased KAI, its new humanoid robot -engineered with 36 degrees of freedom, more than any previous model, a hybrid dexterous hand, and 18,000 sensors embedded across a soft, flexible body-positioning it as the most human-like robotic system to date. Getting closer to real humanoid robots each day.

Chubby♨️

22,473 просмотров • 3 месяцев назад

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.)
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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

75,101 просмотров • 2 месяцев назад

Open-source dexterous hands with fingertip sensors! 🪬 ORCA Dexterity just released three dexterous hand models. Their mission: is to democratize robotic hand dexterity. They're sharing progress on exceptional, low-cost hardware and a software layer from low-level control to robotic hand learning. This is the open-source approach to dexterous manipulation. It has 83 taxels per finger with 0.1 N force detection which pretty is impressive for an open-source design. Tactile sensing is critical for dexterous manipulation, knowing contact forces enables gentle grasping, slip detection, and force-controlled assembly. Also 700g weight for the lite version makes it practical for mounting on robot arms without exceeding payload limits. Lower weight means faster movements and lower torque requirements. Open hardware accelerates robotics by letting researchers and builders modify designs for their specific needs without starting from scratch! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Open-source dexterous hands with fingertip sensors! 🪬 ORCA Dexterity just released three dexterous hand models. Their mission: is to democratize robotic hand dexterity. They're sharing progress on exceptional, low-cost hardware and a software layer from low-level control to robotic hand learning. This is the open-source approach to dexterous manipulation. It has 83 taxels per finger with 0.1 N force detection which pretty is impressive for an open-source design. Tactile sensing is critical for dexterous manipulation, knowing contact forces enables gentle grasping, slip detection, and force-controlled assembly. Also 700g weight for the lite version makes it practical for mounting on robot arms without exceeding payload limits. Lower weight means faster movements and lower torque requirements. Open hardware accelerates robotics by letting researchers and builders modify designs for their specific needs without starting from scratch! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

38,094 просмотров • 4 месяцев назад

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 real too, with a 50N grip force and 10N at the fingertips while staying precise within 0.1N. It is kind of like a rigid octopus, meaning it is tough enough to crank a wrench or screwdriver but smooth enough to grab a drink. Having this much range of motion in a single hand basically doubles the efficiency of any robotic arm in tight spots. Source: ChangingTek Robotics #Robot #Humanoid #Robotics #AI #EmbodiedAI #PhysicalAI #ChangingTek #DexterousHand #Bionics
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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 real too, with a 50N grip force and 10N at the fingertips while staying precise within 0.1N. It is kind of like a rigid octopus, meaning it is tough enough to crank a wrench or screwdriver but smooth enough to grab a drink. Having this much range of motion in a single hand basically doubles the efficiency of any robotic arm in tight spots. Source: ChangingTek Robotics #Robot #Humanoid #Robotics #AI #EmbodiedAI #PhysicalAI #ChangingTek #DexterousHand #Bionics

RoboHub🤖

13,855 просмотров • 4 месяцев назад

Y-Hand M1:universal hand for intelligent humanoid robots the humanoid dexterous hand with the highest degrees of freedom, developed by Yuequan Bionic Slide the pen, open the bottle, cut the paper, handle the trivial matters like a human, and soon it will be connected to the humanoid robot to become a factory operator, elderly care and home assistant. »38 DOF, 28.7k load capacity »Fingertip repeat positioning accuracy of 0.04 mm »Five-finger closure in just 0.2 seconds »Replicates human finger joints with self-developed magnetoelectric-driven artificial muscles
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Y-Hand M1:universal hand for intelligent humanoid robots the humanoid dexterous hand with the highest degrees of freedom, developed by Yuequan Bionic Slide the pen, open the bottle, cut the paper, handle the trivial matters like a human, and soon it will be connected to the humanoid robot to become a factory operator, elderly care and home assistant. »38 DOF, 28.7k load capacity »Fingertip repeat positioning accuracy of 0.04 mm »Five-finger closure in just 0.2 seconds »Replicates human finger joints with self-developed magnetoelectric-driven artificial muscles

CyberRobo

14,341 просмотров • 10 месяцев назад

Teaching robots to perform dexterous manipulation tasks currently requires teleoperation, which limits demonstration quality, speed, and scalability. Instead, why not use human videos? The problem is that a human hand isn’t a robot hand, so data must be retargeted using simulation to resolve issues like collisions and interpenetration when controlling the hand. In VideoManip, Hongyi Chen and co-authors built a system to solve this problem, taking in RGB videos of humans performing manipulation tasks and using them to create accurate simulations with which to learn robot policies. Watch episode #73 of RoboPapers, hosted by Michael Cho - Rbt/Acc and Chris Paxton, now to learn more!
44:20

Teaching robots to perform dexterous manipulation tasks currently requires teleoperation, which limits demonstration quality, speed, and scalability. Instead, why not use human videos? The problem is that a human hand isn’t a robot hand, so data must be retargeted using simulation to resolve issues like collisions and interpenetration when controlling the hand. In VideoManip, Hongyi Chen and co-authors built a system to solve this problem, taking in RGB videos of humans performing manipulation tasks and using them to create accurate simulations with which to learn robot policies. Watch episode #73 of RoboPapers, hosted by Michael Cho - Rbt/Acc and Chris Paxton, now to learn more!

RoboPapers

27,249 просмотров • 3 месяцев назад

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.
0:35

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🤖

71,058 просмотров • 2 месяцев назад

A new dexterous hand is here. DexcelRobotics, a startup founded by a former core member of Tencent Robotics X, has launched its first product, the Apex Hand. The company claims it's the first in the industry capable of operating a cell phone with a single hand. The Apex Hand is a well-rounded performer, with a focus on real-world application. Here are its key specs: ► Degrees of Freedom: 21, which the founder notes is enough to replicate most human hand functions. ► Strength: A single-finger force of ~2.5kg and a vertical lifting capacity of ~30kg. ► Speed & Precision: A response time near human-level, with positioning accuracy of ≤0.1mm. ► Robustness: Can withstand unexpected impacts and maintain stability. ► Tactile: Features self-developed flexible electronic skin with a sub-millisecond communication delay and >1000Hz refresh rate. The founder explains that while academic research often focuses on single-point breakthroughs, a commercial product needs hardware stability, data handling, and model capabilities. The company’s full-stack development experience and modular design are key to bringing this technology to a broader market, starting with semi-structured industrial environments before reaching homes.
2:58

A new dexterous hand is here. DexcelRobotics, a startup founded by a former core member of Tencent Robotics X, has launched its first product, the Apex Hand. The company claims it's the first in the industry capable of operating a cell phone with a single hand. The Apex Hand is a well-rounded performer, with a focus on real-world application. Here are its key specs: ► Degrees of Freedom: 21, which the founder notes is enough to replicate most human hand functions. ► Strength: A single-finger force of ~2.5kg and a vertical lifting capacity of ~30kg. ► Speed & Precision: A response time near human-level, with positioning accuracy of ≤0.1mm. ► Robustness: Can withstand unexpected impacts and maintain stability. ► Tactile: Features self-developed flexible electronic skin with a sub-millisecond communication delay and >1000Hz refresh rate. The founder explains that while academic research often focuses on single-point breakthroughs, a commercial product needs hardware stability, data handling, and model capabilities. The company’s full-stack development experience and modular design are key to bringing this technology to a broader market, starting with semi-structured industrial environments before reaching homes.

RoboHub🤖

125,293 просмотров • 10 месяцев назад

Scaling vision-language-action (VLA) models to high-DoF dexterous hands has long been a "holy grail" challenge due to the high-dimensional action space and data scarcity. As a wrap up of the year 2025, we are releasing GR-Dexter, a holistic hardware-model-data framework for generalist manipulation on a bimanual dexterous-hand robot. This is the first VLA system to achieve: ✅ High-DoF Control: Managing a 56-DoF bimanual system (21-DoF per hand). ✅ Long-Horizon Tasks with tool use: Vacuuming, bread serving with tongs, and table decluttering. ✅ Open-World Generalization: Robust performance with unseen objects and abstract instructions. Project page: ArXiv:
3:52

Scaling vision-language-action (VLA) models to high-DoF dexterous hands has long been a "holy grail" challenge due to the high-dimensional action space and data scarcity. As a wrap up of the year 2025, we are releasing GR-Dexter, a holistic hardware-model-data framework for generalist manipulation on a bimanual dexterous-hand robot. This is the first VLA system to achieve: ✅ High-DoF Control: Managing a 56-DoF bimanual system (21-DoF per hand). ✅ Long-Horizon Tasks with tool use: Vacuuming, bread serving with tongs, and table decluttering. ✅ Open-World Generalization: Robust performance with unseen objects and abstract instructions. Project page: ArXiv:

Xiao Ma

93,908 просмотров • 7 месяцев назад

We trained a humanoid with 22-DoF dexterous hands to assemble model cars, operate syringes, sort poker cards, fold/roll shirts, all learned primarily from 20,000+ hours of egocentric human video with no robot in the loop. Humans are the most scalable embodiment on the planet. We discovered a near-perfect log-linear scaling law (R² = 0.998) between human video volume and action prediction loss, and this loss directly predicts real-robot success rate. Humanoid robots will be the end game, because they are the practical form factor with minimal embodiment gap from humans. Call it the Bitter Lesson of robot hardware: the kinematic similarity lets us simply retarget human finger motion onto dexterous robot hand joints. No learned embeddings, no fancy transfer algorithms needed. Relative wrist motion + retargeted 22-DoF finger actions serve as a unified action space that carries through from pre-training to robot execution. Our recipe is called "EgoScale": - Pre-train GR00T N1.5 on 20K hours of human video, mid-train with only 4 hours (!) of robot play data with Sharpa hands. 54% gains over training from scratch across 5 highly dexterous tasks. - Most surprising result: a *single* teleop demo is sufficient to learn a never-before-seen task. Our recipe enables extreme data efficiency. - Although we pre-train in 22-DoF hand joint space, the policy transfers to a Unitree G1 with 7-DoF tri-finger hands. 30%+ gains over training on G1 data alone. The scalable path to robot dexterity was never more robots. It was always us. Deep dives in thread:
1:17

We trained a humanoid with 22-DoF dexterous hands to assemble model cars, operate syringes, sort poker cards, fold/roll shirts, all learned primarily from 20,000+ hours of egocentric human video with no robot in the loop. Humans are the most scalable embodiment on the planet. We discovered a near-perfect log-linear scaling law (R² = 0.998) between human video volume and action prediction loss, and this loss directly predicts real-robot success rate. Humanoid robots will be the end game, because they are the practical form factor with minimal embodiment gap from humans. Call it the Bitter Lesson of robot hardware: the kinematic similarity lets us simply retarget human finger motion onto dexterous robot hand joints. No learned embeddings, no fancy transfer algorithms needed. Relative wrist motion + retargeted 22-DoF finger actions serve as a unified action space that carries through from pre-training to robot execution. Our recipe is called "EgoScale": - Pre-train GR00T N1.5 on 20K hours of human video, mid-train with only 4 hours (!) of robot play data with Sharpa hands. 54% gains over training from scratch across 5 highly dexterous tasks. - Most surprising result: a *single* teleop demo is sufficient to learn a never-before-seen task. Our recipe enables extreme data efficiency. - Although we pre-train in 22-DoF hand joint space, the policy transfers to a Unitree G1 with 7-DoF tri-finger hands. 30%+ gains over training on G1 data alone. The scalable path to robot dexterity was never more robots. It was always us. Deep dives in thread:

Jim Fan

293,935 просмотров • 5 месяцев назад

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 просмотров • 10 месяцев назад

Shanghai MATRIX ROBOTICS has released a video of its new generation general-purpose humanoid robot: MATRIX-3. Much more compact than the first generation, without a protruding "rear end," it features an impressive futuristic design, 27-DOF dexterous hand with tendon-driven joints, 3D soft fabric bionic skin (claimed to have tactile sensing), and incorporates a new neural network that allows for zero-shot learning, enabling it to perform tasks in complex environments. It is planned for use in general scenarios such as manufacturing plants, logistics warehouses, and retail supermarkets. However, this is currently just a video, and its actual performance remains to be seen, especially the rapid, sensitive, and free movements of the hands as shown in the video: this would truly be a huge breakthrough.
0:56

Shanghai MATRIX ROBOTICS has released a video of its new generation general-purpose humanoid robot: MATRIX-3. Much more compact than the first generation, without a protruding "rear end," it features an impressive futuristic design, 27-DOF dexterous hand with tendon-driven joints, 3D soft fabric bionic skin (claimed to have tactile sensing), and incorporates a new neural network that allows for zero-shot learning, enabling it to perform tasks in complex environments. It is planned for use in general scenarios such as manufacturing plants, logistics warehouses, and retail supermarkets. However, this is currently just a video, and its actual performance remains to be seen, especially the rapid, sensitive, and free movements of the hands as shown in the video: this would truly be a huge breakthrough.

CyberRobo

192,751 просмотров • 6 месяцев назад

Open-Source Robotic Hand That Costs Just $300. California-based company TetherIA.ai has officially launched its open-source robotic hand, the Aero Hand Open. Designed to be the most capable at the lowest cost, this hand is a new tool for embodied AI research. In the clip, it demonstrates impressive dexterity by grasping an M5 screw, picking up an iPhone, and opening a soda can. Key Features: ► Price: $314.00 ► Open Source: CAD, electronics, and firmware are all open source. ► Actuation: 7 Active Degrees of Freedom (16 joints) with a tendon-driven design. ► Weight: Under 400 grams. ► Purpose: Built for embodied AI research to make dexterous manipulation accessible to all. For more details and to purchase:
2:12

Open-Source Robotic Hand That Costs Just $300. California-based company TetherIA.ai has officially launched its open-source robotic hand, the Aero Hand Open. Designed to be the most capable at the lowest cost, this hand is a new tool for embodied AI research. In the clip, it demonstrates impressive dexterity by grasping an M5 screw, picking up an iPhone, and opening a soda can. Key Features: ► Price: $314.00 ► Open Source: CAD, electronics, and firmware are all open source. ► Actuation: 7 Active Degrees of Freedom (16 joints) with a tendon-driven design. ► Weight: Under 400 grams. ► Purpose: Built for embodied AI research to make dexterous manipulation accessible to all. For more details and to purchase:

RoboHub🤖

45,830 просмотров • 10 месяцев назад