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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

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Sharpa

6,144 subscribers

28,287 просмотров • 7 месяцев назад •via X (Twitter)

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Комментарии: 17

Фото профиля Brian Walker
Brian Walker7 месяцев назад

@SharpaRobotics congratulations another great progression.

Фото профиля touch link
touch link7 месяцев назад

Is this achieved through teleoperation?

Фото профиля Sharpa
Sharpa7 месяцев назад

No it’s autonomous

Фото профиля Shadow Defense
Shadow Defense7 месяцев назад

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

Фото профиля Sharpa
Sharpa7 месяцев назад

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

Фото профиля Evan Kirstel #B2B #TechFluencer
Evan Kirstel #B2B #TechFluencer7 месяцев назад

Cool lets discuss on our show sometime!?

Фото профиля Sharpa
Sharpa7 месяцев назад

Sure we’d love to!

Фото профиля Ajunwa Chimaroke
Ajunwa Chimaroke7 месяцев назад

Now I see how you manufacture time wow

Фото профиля Grace Hsu
Grace Hsu7 месяцев назад

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

Фото профиля Sharpa
Sharpa7 месяцев назад

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

Фото профиля VIKTORIIA SITNIKOVA
VIKTORIIA SITNIKOVA5 месяцев назад

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

Фото профиля VIKTORIIA SITNIKOVA
VIKTORIIA SITNIKOVA5 месяцев назад

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

Фото профиля Sharpa
Sharpa5 месяцев назад

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!

Фото профиля Cowboy🔶BNB ｜版本之牛
Cowboy🔶BNB ｜版本之牛5 месяцев назад

0x5a9f48ec10e4118b9d1da20a85d2d8a85500cba3 this you？

Фото профиля VIKTORIIA SITNIKOVA
VIKTORIIA SITNIKOVA5 месяцев назад

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

Фото профиля VIKTORIIA SITNIKOVA
VIKTORIIA SITNIKOVA6 месяцев назад

Please check your sales email

Фото профиля ARK
ARK7 месяцев назад

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
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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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88,304 просмотров • 9 месяцев назад

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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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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12,957 просмотров • 4 месяцев назад

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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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.
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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 просмотров • 7 месяцев назад

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

Sharpa

112,645 просмотров • 1 год назад

Presenting research from Berkeley AI Research Humanoid Intelligence Center. DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation.🖐️🤖 Dexterous manipulation requires touch, yet multi-finger tactile data remain scarce and expensive to collect at scale. Through continual vision-to-touch learning, DexTacWAM adapts a pretrained video world model into a visuo-tactile world model for predictive multi-finger contact modeling and action generation. Across six contact-rich dexterous manipulation tasks, DexTacWAM achieves the highest score on every task, averaging 70.6 vs. 38.0 for the strongest baseline. 🔬 Why not simply inject tactile features into the action policy? With the same multi-finger tactile encoder, policy architecture, and training procedure, replacing the tactile world-model latent with direct tactile features drops the 4-task mean from 74.7 to 26.6. Takeaway: the benefit does not come simply from providing tactile observations to the policy, but from making multi-finger contact evolution part of the predicted world state. All code, model weights, and datasets are now open-sourced! 🌐 Project: 📄 Paper: 💻 Code: 🤗 Weights&Data: Author List: Haoran Yuan, Zekai Wang, Boning Shao Haoran Lu, trevordarrell, Ismini Lourentzou, Wei ZHAN
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Presenting research from Berkeley AI Research Humanoid Intelligence Center. DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation.🖐️🤖 Dexterous manipulation requires touch, yet multi-finger tactile data remain scarce and expensive to collect at scale. Through continual vision-to-touch learning, DexTacWAM adapts a pretrained video world model into a visuo-tactile world model for predictive multi-finger contact modeling and action generation. Across six contact-rich dexterous manipulation tasks, DexTacWAM achieves the highest score on every task, averaging 70.6 vs. 38.0 for the strongest baseline. 🔬 Why not simply inject tactile features into the action policy? With the same multi-finger tactile encoder, policy architecture, and training procedure, replacing the tactile world-model latent with direct tactile features drops the 4-task mean from 74.7 to 26.6. Takeaway: the benefit does not come simply from providing tactile observations to the policy, but from making multi-finger contact evolution part of the predicted world state. All code, model weights, and datasets are now open-sourced! 🌐 Project: 📄 Paper: 💻 Code: 🤗 Weights&Data: Author List: Haoran Yuan, Zekai Wang, Boning Shao Haoran Lu, trevordarrell, Ismini Lourentzou, Wei ZHAN

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This is the most dexterous task I’ve seen a humanoid do so far. Fully autonomous powered by Sharpa’s CraftNet (VTLA) — using tactile feedback to continuously fine-tune the last-millimeter interaction.
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This is the most dexterous task I’ve seen a humanoid do so far. Fully autonomous powered by Sharpa’s CraftNet (VTLA) — using tactile feedback to continuously fine-tune the last-millimeter interaction.

Simon Kalouche

473,176 просмотров • 9 месяцев назад

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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84,611 просмотров • 3 лет назад

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80,348 просмотров • 11 месяцев назад

ManiFeel is a benchmark for contact-rich manipulation tasks. Force- and tactile-based tasks with occlusions and partially-observable state are going to be crucial for true general purpose robotics. Website:
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ManiFeel is a benchmark for contact-rich manipulation tasks. Force- and tactile-based tasks with occlusions and partially-observable state are going to be crucial for true general purpose robotics. Website:

Chris Paxton

12,063 просмотров • 7 месяцев назад

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Ronald van Loon

17,513 просмотров • 5 месяцев назад

Fully autonomous ping-pong game and windmill assembly preview—live at CES! Can’t wait to show North, our full-body robot, to the world! Stop by Booth #9251 North Hall to see it in action. #Sharpa #SharpaNorth #SharpaWave #AI #robot #pingpong CES
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Fully autonomous ping-pong game and windmill assembly preview—live at CES! Can’t wait to show North, our full-body robot, to the world! Stop by Booth #9251 North Hall to see it in action. #Sharpa #SharpaNorth #SharpaWave #AI #robot #pingpong CES

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Most of today's AI can see the world, but it doesn’t **feel** it. Capturing the sense of touch is crucial for dexterous robotic manipulation, user modeling, and understanding physical interactions. Introducing OpenTouch: bringing full-hand tactile sensing into real-world AI🖐️ OpenTouch is collected in-the-wild using tactile sensing gloves, hand pose tracking gloves, and egocentric glasses. It includes: • 5 hours of real-world data, • 3 hours densely annotated contact-rich interactions, • 2,900 curated interaction clips, • across 800 objects, 14 environments, and 29 grasp types. all open at:

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A touch-aware humanoid manipulation policy that cleans the lab for you🧹🧪 Introducing Humanoid Touch Dream: a real-world system for dexterous, contact-rich humanoid loco-manipulation. Our key idea is simple: the policy predicts future hand forces and tactile latents alongside actions, within a single-stage training framework. 1/7

Yaru Niu

91,677 просмотров • 6 месяцев назад

Welcome to a "robot town" at this year's World Intelligence Expo, where a future powered by AI and robotics comes to life. From companion robots to robotic arms and human-like hands performing delicate tasks, innovation is on full display. A step closer to the future of intelligent living. #WorldIntelligenceExpo #Robotics #AI #Innovation #SmartTech #ChinaTech
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Welcome to a "robot town" at this year's World Intelligence Expo, where a future powered by AI and robotics comes to life. From companion robots to robotic arms and human-like hands performing delicate tasks, innovation is on full display. A step closer to the future of intelligent living. #WorldIntelligenceExpo #Robotics #AI #Innovation #SmartTech #ChinaTech

China Xinhua News

102,444 просмотров • 4 месяцев назад