正在加载视频...

视频加载失败

返回首页

Singapore-based startup Sharpa Robotics generated major buzz at CES 2026 with its new humanoid robot and its highly dexterous end effectors. The wheeled humanoid, North, stunned observers with a series of demos showcasing its capabilities as a ping pong player, as an interactive robotic receptionist, a card dealer, and...

mikekalilmfg's profile picture

Kalil 4.0

8,866 subscribers

15,000 次观看 • 10 个月前 •via TikTok

科学技术#ces2026#humanoidrobot#robot#robotics#innovation
LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

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.
0:32

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

28,597 次观看 • 4 个月前

Sharp Robotics of Singapore has officially unveiled SharpaWave, an impressively dexterous hand. The 1:1 life-size model boasts 22 degrees of freedom, with over 1,000 tactile sensors per fingertip. It can crack eggs, play the piano, or use scissors, combining strength, speed, and dexterity once thought impossible.
1:10

Sharp Robotics of Singapore has officially unveiled SharpaWave, an impressively dexterous hand. The 1:1 life-size model boasts 22 degrees of freedom, with over 1,000 tactile sensors per fingertip. It can crack eggs, play the piano, or use scissors, combining strength, speed, and dexterity once thought impossible.

CyberRobo

893,668 次观看 • 1 年前

Boston Dynamics has unveiled a new four-fingered robotic hand for its Atlas humanoid robot, featuring 13 degrees of freedom and tactile sensors to detect pressure. In a demonstration, Atlas uses the hand to operate a drill, tighten a nut, and manipulate golf balls with precision. The hand is designed for real-world industrial tasks and mass production, using fewer components than a traditional five-fingered hand.
0:30

Boston Dynamics has unveiled a new four-fingered robotic hand for its Atlas humanoid robot, featuring 13 degrees of freedom and tactile sensors to detect pressure. In a demonstration, Atlas uses the hand to operate a drill, tighten a nut, and manipulate golf balls with precision. The hand is designed for real-world industrial tasks and mass production, using fewer components than a traditional five-fingered hand.

Space and Technology

19,528 次观看 • 1 个月前

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.
0:41

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 次观看 • 6 个月前

Robotics just hit a dexterity milestone 🤯! Sharpa Robotics demonstrated autonomous dual-hand apple peeling using its new MoDE-VLA system. Using human-like dexterous hands with tactile sensing, the robot can feel contact and adjust its grip while rotating and peeling the apple. While the system achieved 30% success, the 73% peel completion rate shows robots are starting to master the fine, contact-rich manipulation needed for real world tasks.
0:30

Robotics just hit a dexterity milestone 🤯! Sharpa Robotics demonstrated autonomous dual-hand apple peeling using its new MoDE-VLA system. Using human-like dexterous hands with tactile sensing, the robot can feel contact and adjust its grip while rotating and peeling the apple. While the system achieved 30% success, the 73% peel completion rate shows robots are starting to master the fine, contact-rich manipulation needed for real world tasks.

SciTech Era

39,696 次观看 • 8 个月前

⚡SHARPA LEAVES THE LAB, HEADS TO DAIRY QUEEN Sharpa is taking its 22-DoF Wave hand beyond demos with Project Edison, preparing its North robot for a real Dairy Queen deployment in Shanghai. Humanoid Scott got an early look at the project. A few things that really stood out from our conversation: > Sharpa is building the full stack around the hand, including the robot arms, mobile base and AI > North has to work in the existing kitchen, with no redesign of the workspace around the robot > Scott Walter says making a Blizzard involves roughly 50–60 steps through an existing human workflow > The preview footage is teleoperated and sped up. Sharpa expects the released system to be fully autonomous But the bigger story here is Sharpa taking dexterous robot hands from impressive demos to complete systems capable of useful commercial work. And Sharpa founder David Li has offered to join us on Over The Horizon to take us deeper inside Project Edison. Great discussion with Humanoid Scott and Mehrdad Farimani. Looking forward to hopefully having Sharpa and David Li join us for a deeper dive into their work! ⚡Full episode linked below in the thread!👇🏽
3:28

⚡SHARPA LEAVES THE LAB, HEADS TO DAIRY QUEEN Sharpa is taking its 22-DoF Wave hand beyond demos with Project Edison, preparing its North robot for a real Dairy Queen deployment in Shanghai. Humanoid Scott got an early look at the project. A few things that really stood out from our conversation: > Sharpa is building the full stack around the hand, including the robot arms, mobile base and AI > North has to work in the existing kitchen, with no redesign of the workspace around the robot > Scott Walter says making a Blizzard involves roughly 50–60 steps through an existing human workflow > The preview footage is teleoperated and sped up. Sharpa expects the released system to be fully autonomous But the bigger story here is Sharpa taking dexterous robot hands from impressive demos to complete systems capable of useful commercial work. And Sharpa founder David Li has offered to join us on Over The Horizon to take us deeper inside Project Edison. Great discussion with Humanoid Scott and Mehrdad Farimani. Looking forward to hopefully having Sharpa and David Li join us for a deeper dive into their work! ⚡Full episode linked below in the thread!👇🏽

Royden D'Souza

369,693 次观看 • 3 个月前

Another new humanoid robot is here. This headless humanoid robot is called Calvin-40. It is the first industrial humanoid robot developed by the French company Wandercraft. It is human-sized and voice-controlled. It is mainly used in manufacturing factories, but can also be used for medical care. It is worth mentioning that its hands can switch to end effectors such as suction cups, grippers, and dexterous hands to adapt to the needs.
0:32

Another new humanoid robot is here. This headless humanoid robot is called Calvin-40. It is the first industrial humanoid robot developed by the French company Wandercraft. It is human-sized and voice-controlled. It is mainly used in manufacturing factories, but can also be used for medical care. It is worth mentioning that its hands can switch to end effectors such as suction cups, grippers, and dexterous hands to adapt to the needs.

CyberRobo

27,262 次观看 • 1 年前

🤯incredible,its playability and usability are outstanding. Tron2 is a LEGO robot. It can be assembled into various forms depending on the scenario, including bipedal, wheeled, and humanoid torso configurations, and its end effectors are also interchangeable. Each form of the robot is driven by a VLA model. It can perform complex movements and can also be integrated into existing workflows to perform tasks. It's worth mentioning that this solves the problem of which type of humanoid robot to use. Each user can assemble the robot in a configuration that suits their specific scenario, making it truly flexible and versatile – it doesn't necessarily have to be bipedal or wheeled... I look forward to seeing more real-world use cases.
2:34

🤯incredible,its playability and usability are outstanding. Tron2 is a LEGO robot. It can be assembled into various forms depending on the scenario, including bipedal, wheeled, and humanoid torso configurations, and its end effectors are also interchangeable. Each form of the robot is driven by a VLA model. It can perform complex movements and can also be integrated into existing workflows to perform tasks. It's worth mentioning that this solves the problem of which type of humanoid robot to use. Each user can assemble the robot in a configuration that suits their specific scenario, making it truly flexible and versatile – it doesn't necessarily have to be bipedal or wheeled... I look forward to seeing more real-world use cases.

CyberRobo

147,344 次观看 • 11 个月前

Who can say no to a humanoid robot that can actually feel a hug? 🤖 JQ Industries just built a fabric-based electronic skin for Unitree G1 — covering the torso, hands, and feet. This is not about appearance. It’s about giving robots real tactile sensing and pressure feedback. According to the company, the system includes tactile gloves, upper-body skin, and foot sensors. That means the robot can feel contact through its hands, detect pressure across its body, and use foot feedback to adjust balance. This is the missing layer in most humanoids. Vision alone can’t handle physical interaction. Robots need touch to grip safely, react to humans, and stay stable in real-world environments. JQ says its fiber sensors can detect forces as low as 0.01N, handle up to 3500kPa, and bend below 0.1mm radius. The system can also integrate with Isaac Sim, making tactile data usable for training and deployment. Unitree G1 is already built for manipulation and control — this adds the sensing layer it lacked. JQ says it’s now working with multiple humanoid companies, with some systems already shipping at scale. This is what happens when robots stop just seeing the world — and start physically feeling it.
1:56

Who can say no to a humanoid robot that can actually feel a hug? 🤖 JQ Industries just built a fabric-based electronic skin for Unitree G1 — covering the torso, hands, and feet. This is not about appearance. It’s about giving robots real tactile sensing and pressure feedback. According to the company, the system includes tactile gloves, upper-body skin, and foot sensors. That means the robot can feel contact through its hands, detect pressure across its body, and use foot feedback to adjust balance. This is the missing layer in most humanoids. Vision alone can’t handle physical interaction. Robots need touch to grip safely, react to humans, and stay stable in real-world environments. JQ says its fiber sensors can detect forces as low as 0.01N, handle up to 3500kPa, and bend below 0.1mm radius. The system can also integrate with Isaac Sim, making tactile data usable for training and deployment. Unitree G1 is already built for manipulation and control — this adds the sensing layer it lacked. JQ says it’s now working with multiple humanoid companies, with some systems already shipping at scale. This is what happens when robots stop just seeing the world — and start physically feeling it.

RoboHub🤖

10,952 次观看 • 7 个月前

Sharpa Robotics just dropped a new hand video and the level keeps going up. This is the Sharpa Wave running WM Craftnet on a human scale fivefinger hand with 22 active DoF. The policy combines wrist depth, tactile sensing, proprioception and previous actions. The hand can rotate different objects in-hand, recover after external pushes and continue manipulating objects it was never trained on. The numbers are strong. 175/200 successful real-world rotation trials across 20 objects. A world-model prior trained on 9 objects was transferred to 49 new objects. Fall rate went from 6% to 0.3%. The Wave hardware itself has 22 actuators, up to 20 N fingertip force, 240×240 tactile sensing at up to 180 fps and 0.02 N pressure sensitivity. What caught my attention is the recovery behavior. The fingers keep changing contact points after the object slips or gets pushed instead of replaying the same finger motion. That is the kind of dexterity I want to see more of in robotic hands. According to Sharpa’s current specifications: • DTA tactile sensors on the fingers with a resolution of up to 240 × 240 • Pressure detection • Slip detection • Force change detection • Contact point localization • 6-axis force and torque measurement: Fx, Fy, Fz, Mx, My, Mz • Tactile sensing at up to 180 fps • 20 ms reported latency • Force detection range from 0 to 30 N • Maximum sensor load of 50 N • Sharpa also describes a miniature camera integrated into each fingertip for visuo-tactile sensing.
0:33

Sharpa Robotics just dropped a new hand video and the level keeps going up. This is the Sharpa Wave running WM Craftnet on a human scale fivefinger hand with 22 active DoF. The policy combines wrist depth, tactile sensing, proprioception and previous actions. The hand can rotate different objects in-hand, recover after external pushes and continue manipulating objects it was never trained on. The numbers are strong. 175/200 successful real-world rotation trials across 20 objects. A world-model prior trained on 9 objects was transferred to 49 new objects. Fall rate went from 6% to 0.3%. The Wave hardware itself has 22 actuators, up to 20 N fingertip force, 240×240 tactile sensing at up to 180 fps and 0.02 N pressure sensitivity. What caught my attention is the recovery behavior. The fingers keep changing contact points after the object slips or gets pushed instead of replaying the same finger motion. That is the kind of dexterity I want to see more of in robotic hands. According to Sharpa’s current specifications: • DTA tactile sensors on the fingers with a resolution of up to 240 × 240 • Pressure detection • Slip detection • Force change detection • Contact point localization • 6-axis force and torque measurement: Fx, Fy, Fz, Mx, My, Mz • Tactile sensing at up to 180 fps • 20 ms reported latency • Force detection range from 0 to 30 N • Maximum sensor load of 50 N • Sharpa also describes a miniature camera integrated into each fingertip for visuo-tactile sensing.

Techniahqrobot | humanoid robots

13,730 次观看 • 1 个月前

Elon Musk on Optimus: "Everything in the Optimus robot is designed from Physics First Principles. Its not taken from a catalog. These are custom designed. Everything, literally everything. Optimus is designed to have a lot of intelligence and to have the same electromechanical dexterity, if not higher than a human. It's quite a big robot because it has to carry heavy objects for long periods of time and not overheat or exceed the power of its actuators. It's 5 11, so it's pretty tall and it's got a lot of intelligence. So it's going to be more expensive than a small robot that is not. Over time as Optimus robots build Optimus robots, the cost will drop very quickly."
2:43

Elon Musk on Optimus: "Everything in the Optimus robot is designed from Physics First Principles. Its not taken from a catalog. These are custom designed. Everything, literally everything. Optimus is designed to have a lot of intelligence and to have the same electromechanical dexterity, if not higher than a human. It's quite a big robot because it has to carry heavy objects for long periods of time and not overheat or exceed the power of its actuators. It's 5 11, so it's pretty tall and it's got a lot of intelligence. So it's going to be more expensive than a small robot that is not. Over time as Optimus robots build Optimus robots, the cost will drop very quickly."

DogeDesigner

74,329 次观看 • 9 个月前

A lot of robot learning pipelines treat embodiment mismatch as a software problem. Collect data with one device, retarget the motion to another robot, and try to deal with the differences later. TwinDEX flips that idea around. This system is from a Chinese robotics company called X Square. Instead of starting with a generic data-collection device, the team co-designs a wearable three-finger end-effector and a robotic hand as two sides of the same learning system. They align the things that actually matter during manipulation: joint structure, link proportions, contact geometry, surface properties, visual appearance, sensing, and timing. That matters because dexterous manipulation is much more than matching hand poses. A few millimeters of contact error or a different force relationship can completely change how a task is executed. In the collection evaluation, TwinDEX delivered up to 5.3 times the effective throughput of on-robot teleoperation. It’s a useful reminder that scaling robot learning may not only be about bigger models and more data. Sometimes the hardware collecting the data is part of the data problem itself.
0:20

A lot of robot learning pipelines treat embodiment mismatch as a software problem. Collect data with one device, retarget the motion to another robot, and try to deal with the differences later. TwinDEX flips that idea around. This system is from a Chinese robotics company called X Square. Instead of starting with a generic data-collection device, the team co-designs a wearable three-finger end-effector and a robotic hand as two sides of the same learning system. They align the things that actually matter during manipulation: joint structure, link proportions, contact geometry, surface properties, visual appearance, sensing, and timing. That matters because dexterous manipulation is much more than matching hand poses. A few millimeters of contact error or a different force relationship can completely change how a task is executed. In the collection evaluation, TwinDEX delivered up to 5.3 times the effective throughput of on-robot teleoperation. It’s a useful reminder that scaling robot learning may not only be about bigger models and more data. Sometimes the hardware collecting the data is part of the data problem itself.

Alamin

48,112 次观看 • 2 个月前

Shanghai-based Matrix Robotics has introduced a new humanoid robot called MATRIX-3. The robot features soft skin with built-in touch sensors for safer interaction. Its advanced hands can use tools and handle delicate objects with impressive precision.
0:27

Shanghai-based Matrix Robotics has introduced a new humanoid robot called MATRIX-3. The robot features soft skin with built-in touch sensors for safer interaction. Its advanced hands can use tools and handle delicate objects with impressive precision.

Space and Technology

13,385 次观看 • 5 个月前

Today we’re thrilled to announce #SharpaWave — our first dexterous robotic hand — now officially in mass production and delivery! Robotic dexterity just took a leap forward. #Sharpa #Robotics #AI #DexterousHand #Robot #Humanoid #TactileSensing
1:28

Today we’re thrilled to announce #SharpaWave — our first dexterous robotic hand — now officially in mass production and delivery! Robotic dexterity just took a leap forward. #Sharpa #Robotics #AI #DexterousHand #Robot #Humanoid #TactileSensing

Sharpa

135,238 次观看 • 1 年前