Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications

Designing efficient sensors for soft robotics aiming at human machine interaction remains a challenge. Here, we report a smart soft-robotic gripper system based on triboelectric nanogenerator sensors to capture the continuous motion and tactile information for soft gripper. With the special distributed electrodes, the tactile sensor can perceive the contact position and area of external stimuli. The gear-based length sensor with a stretchable strip allows the continuous detection of elongation via the sequential contact of each tooth. The triboelectric sensory information collected during the operation of soft gripper is further trained by support vector machine algorithm to identify diverse objects with an…

• NU
  National University of Singapore

  Awards: 2017-01, R-263-501-012-133
• NN
  National Natural Science Foundation of China

  Awards: 51705098, 61673287, 2017-01, and 51705098, 61973207, 2019YFB2004800
• NK
  National Key Research and Development Program of China

  Awards: 2019YFB1310901, 2019YFB2004800