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A novel tendon-driven hand design achieves unprecedented dexterity and tactile perception, enabling complex manipulation tasks previously thought infeasible for robots.
Ditch the threshold: this tactile-sensing robotic hand uses contact status recognition to detect slip with 96% accuracy, even on new materials.
Robots can now learn to identify shapes and materials from touch with just a single example, thanks to a new meta-learning approach that automatically optimizes feature extraction.
