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One engineering challenge in dexterous Robot hands is balancing strength and speed. Here a SharpaWave performing rapid hand cycles at over 4x/sec. The Dynamic Tactile Array uses visuo-tactile sensing: fingertip integrates camera & 1,000+ tactile pixels.

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Rohan Paul

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24,692 görüntüleme • 3 gün önce •via X (Twitter)

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More beautiful robot hands. This one from Sharpa The hand uses what they call a Dynamic Tactile Array, meaning vision and touch work together and their SaTA (Spatially-anchored Tactile Awareness) algorithm. Each fingertip includes a mini camera and 1,000+ tactile pixels, hitting 0.005N pressure sensitivity. With 22 DOF and 6D force sensing, it can do everything from eggs to tools.
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More beautiful robot hands. This one from Sharpa The hand uses what they call a Dynamic Tactile Array, meaning vision and touch work together and their SaTA (Spatially-anchored Tactile Awareness) algorithm. Each fingertip includes a mini camera and 1,000+ tactile pixels, hitting 0.005N pressure sensitivity. With 22 DOF and 6D force sensing, it can do everything from eggs to tools.

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SharpaWave, a 22-DOF dexterous hand, by Singapore-based startup Sharpa. ⦿ Features over 1,000 tactile pixels per fingertip and 0.005 N pressure sensitivity. ⦿ Delivers 20 N fingertip strength and more than 4 Hz hand movement speed across all gestures.
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SharpaWave, a 22-DOF dexterous hand, by Singapore-based startup Sharpa. ⦿ Features over 1,000 tactile pixels per fingertip and 0.005 N pressure sensitivity. ⦿ Delivers 20 N fingertip strength and more than 4 Hz hand movement speed across all gestures.

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Singapore's Sharpa unveiled SharpaWave, a lifelike robotic hand —Features 22 DOF to balance for dexterity and strength —Each fingertip has 1,000+ tactile sensing pixels and 5 mN pressure sensitivity —AI models adapt the hand's grip and modulate force
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Singapore's Sharpa unveiled SharpaWave, a lifelike robotic hand —Features 22 DOF to balance for dexterity and strength —Each fingertip has 1,000+ tactile sensing pixels and 5 mN pressure sensitivity —AI models adapt the hand's grip and modulate force

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ViTacFormer is a unified visuo-tactile framework for dexterous robot manipulation. It fuses high-res visual+tactile data using cross-attention and predicts future tactile signals via an autoregressive head, enabling multi-fingered hands to perform precise, long-horizon tasks.
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ViTacFormer is a unified visuo-tactile framework for dexterous robot manipulation. It fuses high-res visual+tactile data using cross-attention and predicts future tactile signals via an autoregressive head, enabling multi-fingered hands to perform precise, long-horizon tasks.

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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.
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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.

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Sharpa Robotics officially launched its dexterous hand, the SharpaWave, on October 16, moving it into mass production. The hand, which impressed many at ICRA 2025, is built around what the company calls a "Dynamic Tactile Array" (DTA) for high-fidelity sensing. Key specs from the official brochure are noteworthy: • Human-like design: 22 degrees of freedom in a 1:1 human-sized form factor. • Advanced sensing: The DTA features >1000 tactile pixels per fingertip, 20 N of fingertip strength with a movement speed of >4 Hz across all gestures. With out-of-the-box support for ROS and MuJoCo simulation, Sharpa is making a clear play for the robotics R&D community.
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Sharpa Robotics officially launched its dexterous hand, the SharpaWave, on October 16, moving it into mass production. The hand, which impressed many at ICRA 2025, is built around what the company calls a "Dynamic Tactile Array" (DTA) for high-fidelity sensing. Key specs from the official brochure are noteworthy: • Human-like design: 22 degrees of freedom in a 1:1 human-sized form factor. • Advanced sensing: The DTA features >1000 tactile pixels per fingertip, 20 N of fingertip strength with a movement speed of >4 Hz across all gestures. With out-of-the-box support for ROS and MuJoCo simulation, Sharpa is making a clear play for the robotics R&D community.

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Introducing tactile skin sim-to-real for dexterous in-hand translation! We propose a simulation model for ReSkin, a magnetic tactile sensing skin. It can simulate ternary shear and binary normal forces. More:
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Introducing tactile skin sim-to-real for dexterous in-hand translation! We propose a simulation model for ReSkin, a magnetic tactile sensing skin. It can simulate ternary shear and binary normal forces. More:

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Most humanlike robotic hand ever built❓ Developed by Sharpa in Singapore, it’s a 1:1 life-size, 22-DoF robotic hand designed for both precision and strength! Capable of manipulating fragile objects like an egg or applying 30 N of fingertip force without damage. ✅ Over 1,000 tactile pixels per fingertip with 0.005 N sensitivity ✅ Dynamic Tactile Array operating at 180 FPS for real-time feedback ✅ Certified for 1 million grip cycles without failure ✅ Ethernet interface, ROS and MuJoCo compatible This isn’t a lab prototype. Sharpa began mass production and customer shipments in October 2025. Full details: —- Weekly robotics and AI insights. Subscribe free:
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Most humanlike robotic hand ever built❓ Developed by Sharpa in Singapore, it’s a 1:1 life-size, 22-DoF robotic hand designed for both precision and strength! Capable of manipulating fragile objects like an egg or applying 30 N of fingertip force without damage. ✅ Over 1,000 tactile pixels per fingertip with 0.005 N sensitivity ✅ Dynamic Tactile Array operating at 180 FPS for real-time feedback ✅ Certified for 1 million grip cycles without failure ✅ Ethernet interface, ROS and MuJoCo compatible This isn’t a lab prototype. Sharpa began mass production and customer shipments in October 2025. Full details: —- Weekly robotics and AI insights. Subscribe free:

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Tactile feedback is one of the most important modalities in manipulation, but has been underutilized in dexterous hands. T-Dex is a framework for learning dexterous policies from tactile play data, beating vision and torque-based methods by 1.7x. 🧵👇
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Tactile feedback is one of the most important modalities in manipulation, but has been underutilized in dexterous hands. T-Dex is a framework for learning dexterous policies from tactile play data, beating vision and torque-based methods by 1.7x. 🧵👇

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The Figure 03 hand has a camera in the palm. It's unclear whether the fingers have tactile sensing.
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In-hand cylinder rotation with RL. IROS 2025 Different sizes, zero-shot sim-to-real, and full dynamic tactile feedback — all in one hand. #Sharpa #SharpaWave #IROS2025 #Robotics #DexterousHand #Humanoid #TactileSensing #ReinforcementLearning #IssacSim
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In-hand cylinder rotation with RL. IROS 2025 Different sizes, zero-shot sim-to-real, and full dynamic tactile feedback — all in one hand. #Sharpa #SharpaWave #IROS2025 #Robotics #DexterousHand #Humanoid #TactileSensing #ReinforcementLearning #IssacSim

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My team at FAIR AI at Meta is hiring postdocs. We are working in the space of dexterous manipulation and tactile sensing. If you are interested reach out / apply:
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My team at FAIR AI at Meta is hiring postdocs. We are working in the space of dexterous manipulation and tactile sensing. If you are interested reach out / apply:

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Jitendra Malik rants about parallel-jaw grippers being inadequate; he believes multi-fingered hands with tactile sensing are necessary for advanced dexterous manipulation. Malik is a Professor at UC Berkeley and a Distinguished Scientist at Amazon.
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A good hand can push intelligence development. Introducing Eyesight Hand, equipped with full-hand high-res tactile sensors and proprioceptive actuators. It is compliant, agile, and powerful. Good tactile sensing makes learning more efficient and robust. Shout out to Branden!

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Here’s the windmill assembly demo we showed at CES 2026 — the one no one saw coming. North executes a fully autonomous, long-horizon dexterous sequence with sustained hand–eye–tactile coordination and assembly-level precision enabled by tactile feedback. It’s also robust to disturbance: you can reposition the objects, and North will still identify them and recover the task. This is powered by CraftNet (VTLA) — using tactile feedback to continuously fine-tune the last-millimeter interaction, enabling reliable execution across 30+ steps. Read more about CraftNet: #Sharpa #SharpaWave #SharpaNorth #CraftNet #System0 #CES2026

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BCI company BrainCo just released a new dexterous hand: Revo3. But this time, it’s not for humans, it’s built for humanoid robots. ＞21 DOF ＞Full-palm + fingertip tactile sensing ＞Direct drive + backdrivable design ＞33 grasp types ＞20N fingertip pinch force ＞Open-source ecosystem, one-click deployment It looks bigger and heavier than the previous versions, but clearly designed for real robot work:picking up objects, using tools, and performing tasks... btw, what do you think are the real differences between the hands of humanoid robots and the bionic hands used by humans?
1:53

BCI company BrainCo just released a new dexterous hand: Revo3. But this time, it’s not for humans, it’s built for humanoid robots. ＞21 DOF ＞Full-palm + fingertip tactile sensing ＞Direct drive + backdrivable design ＞33 grasp types ＞20N fingertip pinch force ＞Open-source ecosystem, one-click deployment It looks bigger and heavier than the previous versions, but clearly designed for real robot work:picking up objects, using tools, and performing tasks... btw, what do you think are the real differences between the hands of humanoid robots and the bionic hands used by humans?

CyberRobo

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Robot Era showcases the STAR1 humanoid robot performing some household tasks. The robot stands 5'7" tall, weighs 139 lb (63 kg), and has a 44 lb (20 kg) payload capacity. Its modular five-finger hand features 12 degrees of freedom with tactile sensing in each finger.

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Tactile Diffusion generates synthetic tactile images from sim data, capturing the complex illumination of the gel deformation. This research from UW & Meta AI is the first method using diffusion to close the sim2real gap for vision-based tactile sensing. Read the paper ⬇️
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Tactile Diffusion generates synthetic tactile images from sim data, capturing the complex illumination of the gel deformation. This research from UW & Meta AI is the first method using diffusion to close the sim2real gap for vision-based tactile sensing. Read the paper ⬇️

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Chinese company PaXini unveils a new dexterous hand: 4 fingers with 978 tactile sensors, 13 DoF supporting a 5kg load, and an 8-megapixel camera in the palm. Price: ¥5000 ($690).
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Chinese company PaXini unveils a new dexterous hand: 4 fingers with 978 tactile sensors, 13 DoF supporting a 5kg load, and an 8-megapixel camera in the palm. Price: ¥5000 ($690).

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Boston Dynamics engineers talk about Atlas’ 3-finger hand. 7-DOF, features a palm camera and tactile-sensing fingertips. They chose not to add more fingers for the initial phases of hand design for higher reliability and speed of development.
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Boston Dynamics engineers talk about Atlas’ 3-finger hand. 7-DOF, features a palm camera and tactile-sensing fingertips. They chose not to add more fingers for the initial phases of hand design for higher reliability and speed of development.

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