- Published on
NVIDIA researchers have revealed EgoScale, a framework that leverages a massive 20,854-hour egocentric human dataset to train robots in complex, fine-grained manipulation with minimal robot-in-the-loop data.
Sharpa Robotics
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- Published on
Ahead of CES 2026, the Singapore-based robotics firm details its reliability testing and confirms a modular design for its SharpaWave end-effector.- Published on
Following a notable debut at industry events, Sharpa Robotics has announced that its high-fidelity SharpaWave hand, featuring a proprietary Dynamic Tactile Array, is now in mass production and shipping to customers.