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Insane video showing $NVDA GR00T reference dexterity hand made by Sharpa Robotics. Surprisingly running on $HSAI actuators, not LeaderDrive or Harmonic. Also using Sharpa in-house force sensors and not $VPG.

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26,863 views • 4 months ago •via X (Twitter)

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Sharpa demonstrating impressive hand dexterity at CES 2026 - fully autonomous.
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Sharpa demonstrating impressive hand dexterity at CES 2026 - fully autonomous.

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NVIDIA announces the first open humanoid robot reference design built for robotics research. The NVIDIA Isaac GR00T Reference Humanoid Robot combines the Unitree H2 humanoid robot, Sharpa Wave five-fingered hands for dexterous manipulation, Jetson Thor onboard compute, and Isaac GR00T open software and models, giving researchers a full-stack platform from data capture to model deployment. Read the #NVIDIAGTC Taipei announcement:
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NVIDIA announces the first open humanoid robot reference design built for robotics research. The NVIDIA Isaac GR00T Reference Humanoid Robot combines the Unitree H2 humanoid robot, Sharpa Wave five-fingered hands for dexterous manipulation, Jetson Thor onboard compute, and Isaac GR00T open software and models, giving researchers a full-stack platform from data capture to model deployment. Read the #NVIDIAGTC Taipei announcement:

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Jensen just unveiled the NVIDIA Isaac GR00T Reference Humanoid Robot at GTC Taipei, the first open humanoid reference design built on Jetson Thor + the Isaac GR00T platform. - The body: Unitree H2 chassis + Sharpa Wave tactile 5-finger hands. - The brain: Jetson Thor compute + the NVIDIA Isaac GR00T open software stack (teleop, foundation models, sim, ROS). - Aimed at academic labs that want to do frontier humanoid research without proprietary lock-in. - Early adopters: ETH Zurich, Stanford Robotics Center, UCSD ARCLab. Endorsed by Skild's Deepak Pathak and Ai2's Dieter Fox. Ships from Unitree late 2026.
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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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CyberRobo

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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.
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🚨 Water Robotics, founded by Teja Vinukollu, is building a robotic bed with 10,752 sensors and 42 actuators in Hyderabad. The bed, called CAMA, uses in-house AI models to sense, analyse, and adjust your position as you sleep.
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⚡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!👇🏽

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Sharpa robotic hands are SHARP! #IROS205
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Sharpa robotic hands are SHARP! #IROS205

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Sharpa Robotics claimed that the machine had a faster reaction time. Here’s proof otherwise. Man vs Humanoid Robot on the “Reflex Drop Sticks Challenge” during IROS 2026
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Sharpa Robotics claimed that the machine had a faster reaction time. Here’s proof otherwise. Man vs Humanoid Robot on the “Reflex Drop Sticks Challenge” during IROS 2026

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50,017 views • 1 month ago

RL-trained in-hand skills, such as grasp stability and object rotation are used to assist teleoperation. Teleoperation data is then used to train a VLA that fuses force and tactile feedback to generate actions. Humanoid hardware: Sharpa Paper:
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RL-trained in-hand skills, such as grasp stability and object rotation are used to assist teleoperation. Teleoperation data is then used to train a VLA that fuses force and tactile feedback to generate actions. Humanoid hardware: Sharpa Paper:

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