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Watch as Sharpa North assembles a computer autonomously! From precise positioning to screwing and wire clipping, North executes complex, contact-rich tasks powered by tactile feedback. Dexterous hands + tactile AI are what make real-world task execution possible. This is the shift from simple automation to real-world robotics. #SharpaRobotics

Sharpa

6,144 subscribers

28,287 次观看 • 7 个月前 •via X (Twitter)

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17 条评论

Brian Walker 的头像

Brian Walker7 个月前

@SharpaRobotics congratulations another great progression.

touch link 的头像

touch link7 个月前

Is this achieved through teleoperation?

Sharpa 的头像

Sharpa7 个月前

No it’s autonomous

Shadow Defense 的头像

Shadow Defense7 个月前

i'm needing something like this to go on my 4wd telepresence chassis that i'm building. whats the price of the above unit?

Sharpa 的头像

Sharpa7 个月前

Please contact our sales team for price and detail🦾 [email protected]

Evan Kirstel #B2B #TechFluencer 的头像

Evan Kirstel #B2B #TechFluencer7 个月前

Cool lets discuss on our show sometime!?

Sharpa 的头像

Sharpa7 个月前

Sure we’d love to!

Ajunwa Chimaroke 的头像

Ajunwa Chimaroke7 个月前

Now I see how you manufacture time wow

Grace Hsu 的头像

Grace Hsu7 个月前

Hello, I own a precision machinery manufacturing plant in China and look forward to the opportunity to collaborate with you.

Sharpa 的头像

Sharpa7 个月前

DM and get in touch with our sales team at [email protected] 🦾

VIKTORIIA SITNIKOVA 的头像

VIKTORIIA SITNIKOVA5 个月前

Please write my email ! I’ve been trying to contact more than one month !!!

VIKTORIIA SITNIKOVA 的头像

VIKTORIIA SITNIKOVA5 个月前

My name is Victoria from GIWorks. I have been sending emails regarding the robot purchase since last month, but unfortunately I have not received any response yet. I would appreciate it if you could kindly reply to me at: [email protected] Thank you

Sharpa 的头像

Sharpa5 个月前

Hi Victoria, apologies for the delay in replying to your enquiry. Please DM your official company contact info so we can look into this right away and get back to you promptly. Thank you!

Cowboy🔶BNB ｜版本之牛的头像

Cowboy🔶BNB ｜版本之牛5 个月前

0x5a9f48ec10e4118b9d1da20a85d2d8a85500cba3 this you？

VIKTORIIA SITNIKOVA 的头像

VIKTORIIA SITNIKOVA5 个月前

please reply me I’ve been writing you since last month and still haven’t got any reply

VIKTORIIA SITNIKOVA 的头像

VIKTORIIA SITNIKOVA6 个月前

Please check your sales email

ARK 的头像

ARK7 个月前

This is amazing！！！ we launched a token for Sharpa North. ca: FnJG1kbzzGbRxpTN5ewtMzpv9Tdd8C1HXRf7Z3jpTRND

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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

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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Robots need to feel the world to operate in it. Most manipulation policies today are tactile-blind. They either cannot interpret high-frequency tactile signals or treat them as a static channel. And the field lacks enough touch-rich datasets to train tactile-reactive policies at scale. T-Rex was built to answer both. Dantong Niu and team, advised by Jim Fan, Fei-Fei Li, Jitendra MALIK, Pieter Abbeel trevordarrell have tested whether a robot policy can react to high-frequency tactile signals the way human hands do, without giving up the generalization power of modern VLAs. The result: 65% average success rate across 12 real-world tasks. +30 absolute points over the strongest baseline. In one year, tactile VLAs have gone from promising to outperforming non-tactile baselines like pi0.5 on dexterous tasks. #Robotics #SharpaWave #Sharpa #EmbodiedAI #DexterousManipulation #TactileSensing #RobotLearning Project link:

Robots need to feel the world to operate in it. Most manipulation policies today are tactile-blind. They either cannot interpret high-frequency tactile signals or treat them as a static channel. And the field lacks enough touch-rich datasets to train tactile-reactive policies at scale. T-Rex was built to answer both. Dantong Niu and team, advised by Jim Fan, Fei-Fei Li, Jitendra MALIK, Pieter Abbeel trevordarrell have tested whether a robot policy can react to high-frequency tactile signals the way human hands do, without giving up the generalization power of modern VLAs. The result: 65% average success rate across 12 real-world tasks. +30 absolute points over the strongest baseline. In one year, tactile VLAs have gone from promising to outperforming non-tactile baselines like pi0.5 on dexterous tasks. #Robotics #SharpaWave #Sharpa #EmbodiedAI #DexterousManipulation #TactileSensing #RobotLearning Project link:

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Touch alone isn’t enough. 🖐️ For robotics, tactile intelligence truly levels up when touch gains spatial meaning. At #ICRA2026, we dove into the core concept behind SaTA: Spatially-anchored Tactile Awareness for robust, dexterous manipulation. Read it here: The challenge is fundamental: a robot shouldn’t just register a touch, it needs to understand exactly where that contact occurs relative to its fingers, joints, and overall hand structure. This is the missing link that turns raw data into precise, real-time adjustments during manipulation. Why does this matter? Because the most complex part of any manipulation task happens when vision is at its least reliable, that final millimeter before insertion, sliding, gripping, or fine-tuning. At Sharpa, this is exactly why we’re building tactile hands and tactile AI in tandem. 🚀 #Sharpa #Robotics #EmbodiedAI #TactileIntelligence #ICRA2026 #DexterousManipulation 📷

Touch alone isn’t enough. 🖐️ For robotics, tactile intelligence truly levels up when touch gains spatial meaning. At #ICRA2026, we dove into the core concept behind SaTA: Spatially-anchored Tactile Awareness for robust, dexterous manipulation. Read it here: The challenge is fundamental: a robot shouldn’t just register a touch, it needs to understand exactly where that contact occurs relative to its fingers, joints, and overall hand structure. This is the missing link that turns raw data into precise, real-time adjustments during manipulation. Why does this matter? Because the most complex part of any manipulation task happens when vision is at its least reliable, that final millimeter before insertion, sliding, gripping, or fine-tuning. At Sharpa, this is exactly why we’re building tactile hands and tactile AI in tandem. 🚀 #Sharpa #Robotics #EmbodiedAI #TactileIntelligence #ICRA2026 #DexterousManipulation 📷

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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

39,388 次观看 • 7 个月前

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

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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