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A robotic sensory system with high spatiotemporal resolution for texture recognition.

Ningning BaiYiheng XueShuiqing ChenLin ShiJunli ShiYuan ZhangXingyu HouYu ChengKaixi HuangWei-dong WangJin ZhangYuan LiuChuan Fei Guo
Published in: Nature communications (2023)
Humans can gently slide a finger on the surface of an object and identify it by capturing both static pressure and high-frequency vibrations. Although modern robots integrated with flexible sensors can precisely detect pressure, shear force, and strain, they still perform insufficiently or require multi-sensors to respond to both static and high-frequency physical stimuli during the interaction. Here, we report a real-time artificial sensory system for high-accuracy texture recognition based on a single iontronic slip-sensor, and propose a criterion-spatiotemporal resolution, to corelate the sensing performance with recognition capability. The sensor can respond to both static and dynamic stimuli (0-400 Hz) with a high spatial resolution of 15 μm in spacing and 6 μm in height, together with a high-frequency resolution of 0.02 Hz at 400 Hz, enabling high-precision discrimination of fine surface features. The sensory system integrated on a prosthetic fingertip can identify 20 different commercial textiles with a 100.0% accuracy at a fixed sliding rate and a 98.9% accuracy at random sliding rates. The sensory system is expected to help achieve subtle tactile sensation for robotics and prosthetics, and further be applied to haptic-based virtual reality and beyond.
Keyphrases
  • high frequency
  • transcranial magnetic stimulation
  • virtual reality
  • single molecule
  • magnetic resonance
  • air pollution
  • computed tomography
  • working memory
  • robot assisted