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Sharpa
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Sharpa
@SharpaRobotics
Sharpa is an AI robotics company dedicated to developing ultra-high performance robots and core components. We Manufacture Time by Making Robots Useful.
United States
sharpa.com
Joined April 2025
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4,782
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  • Sharpa reposted
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    Mahi Shafiullah 🏠🤖
    @notmahi
    Jun 19
    One of the underappreciated factor in learning dexterity from humans is the hardware – imitating humans the way we did would be much more difficult if we didn't have a roughly human sized hand. Thank you @SharpaRobotics for your support!
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    Sharpa
    @SharpaRobotics
    Jun 19
    We can use videos from the internet to teach robots! Do as I Do, from @bhawna_paliwal_ , @HarithejaE , and Willian Liang at UC Berkeley — advised by @pabbeel, @notmahi, and @JitendraMalikCV, used an algorithm that reconstructs hand-object interactions from monocular RGB video
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  • Sharpa reposted
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    trevordarrell
    @trevordarrell
    Jun 19
    1 of 3: T-Rex, a new model and dataset for tactile-reactive dexterous manipulation. Tactile is a key modality for precise dynamic control:
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    Dantong Niu
    @Dantong_Niu
    Jun 19
    Excited to share T-Rex: Tactile-Reactive Dexterous Manipulation 🦖🤖 Touch is fundamental to human dexterity, yet most Vision-Language-Action (VLA) models either ignore tactile feedback or lack the ability to react to high-frequency contact signals. In this work, we tackle both
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    Sharpa
    @SharpaRobotics
    23h
    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
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    Sharpa
    @SharpaRobotics
    23h
    The dataset was collected using two Sharpa Wave hands, using our high-resolution Dynamic Tactile Arrays on each fingertip to capture the dynamic touch signals needed for contact-rich manipulation. T-Rex proves that anthropomorphic hardware and tactile-reactive software are
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  • Sharpa reposted
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    Dantong Niu
    @Dantong_Niu
    Jun 19
    Excited to share T-Rex: Tactile-Reactive Dexterous Manipulation 🦖🤖 Touch is fundamental to human dexterity, yet most Vision-Language-Action (VLA) models either ignore tactile feedback or lack the ability to react to high-frequency contact signals. In this work, we tackle both
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  • Sharpa reposted
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    Mahi Shafiullah 🏠🤖
    @notmahi
    Jun 18
    Robots are the bottleneck in scaling robotics, and learning from human video promises to solve it. But how can chaotic human data ever measure up to sanitized, lab-made teleoperation data? Introducing Do as I Do: establishing a much needed correspondence between human videos and
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  • Sharpa reposted
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    Roei Herzig
    @roeiherzig
    Jun 18
    If you want a vision encoder for dexterous manipulation, what should be the most important part to model? 🤔 Current standard models like CLIP, SigLIP, and DINOv2 have an incredible grasp of semantics and spatial details. But they lack the action-centric structure needed for
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    Roei Herzig
    @roeiherzig
    Jun 6
    Article cover image
    Article
    CAIP: Contrastive Action-Image Pre-training for Visuomotor
    This is a (short!) story about how we developed CAIP, an action-centric encoder for dexterous manipulation. If you would like to have a vision encoder for dexterous manipulation (or robotics), what...
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  • user avatar
    Sharpa
    @SharpaRobotics
    Jun 19
    We can use videos from the internet to teach robots! Do as I Do, from @bhawna_paliwal_ , @HarithejaE , and Willian Liang at UC Berkeley — advised by @pabbeel, @notmahi, and @JitendraMalikCV, used an algorithm that reconstructs hand-object interactions from monocular RGB video
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  • Sharpa reposted
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    Jitendra MALIK
    @JitendraMalikCV
    Jun 18
    We can convert human videos to robot hand-object interaction trajectories in 4D. Enjoy! Paper: arxiv.org/abs/2606.19333 Website: do-as-i-do.com Code: github.com/malik-group/do… Authors:@bhawna_paliwal_,@HarithejaE,@willjhliang, @pabbeel , @notmahi , @JitendraMalikCV
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  • user avatar
    Sharpa
    @SharpaRobotics
    Jun 10
    #ICRA2026 highlights: - @leto__jean and the @NVIDIARobotics team featured the Sharpa Wave in their SimToolReal and EgoScale talks 🙏 - We caught up with researchers and partners from around the world - North handed out Austrian chocolates 🍫 - There were many kids in the
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    Sharpa
    @SharpaRobotics
    Jun 8
    Question to the community: if a robot could iron your clothes, would you wear shirts? Asking for our engineers🙃.
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  • user avatar
    Sharpa
    @SharpaRobotics
    Jun 4
    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:
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  • Sharpa reposted
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    Vincent Chow
    @vince_chow1
    Jun 1
    New: Nvidia has partnered with Chinese robotics champion Unitree on a new humanoid robot reference design called H2+ that combines Unitree’s human-sized H2 robot body, Sharpa’s five-fingered hands, and Nvidia’s Isaac GR00T robotics models.
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    World of humanoid robots set for new blueprint as Nvidia teams with Asian firms
    From scmp.com
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  • Sharpa reposted
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    Yuke Zhu
    @yukez
    Jun 1
    Exciting news on GR00T: NVIDIA announces our first open humanoid robot platform, featuring Unitree H2 Plus and Sharpa hands, to accelerate academic research and facilitate cross-institutional collaboration. R&D in humanoid robotics needs broader participation. Open science is
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    NVIDIA Robotics
    NVIDIA
    @NVIDIARobotics
    Jun 1
    NVIDIA announces the first open humanoid robot reference design built for robotics research. The NVIDIA Isaac GR00T Reference Humanoid Robot combines the @UnitreeRobotics H2 humanoid robot, @SharpaRobotics Wave five-fingered hands for dexterous manipulation, Jetson Thor onboard
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