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A Self-Powered Angle Sensor at Nanoradian-Resolution for Robotic Arms and Personalized Medicare
Authors:Ziming Wang  Jie An  Jinhui Nie  Jianjun Luo  Jiajia Shao  Tao Jiang  Baodong Chen  Wei Tang  Zhong Lin Wang
Affiliation:1. CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083 P. R. China

School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049 P. R. China;2. CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083 P. R. China

Abstract:As the dominant component for precise motion measurement, angle sensors play a vital role in robotics, machine control, and personalized rehabilitation. Various forms of angle sensors have been developed and optimized over the past decades, but none of them would function without an electric power. Here, a highly sensitive triboelectric self-powered angle sensor (SPAS) exhibiting the highest resolution (2.03 nano-radian) after a comprehensive optimization is reported. In addition, the SPAS holds merits of light weight and thin thickness, which enables its extensive integrated applications with minimized energy consumption: a palletizing robotic arm equipped with the SPAS can precisely reproduce traditional Chinese calligraphy via angular data it collects. In addition, the SPAS can be assembled in a medicare brace to record the flexion/extension of joints, which may benefit personalized orthopedic recuperation. The SPAS paves a new approach for applications in the emerging fields of robotics, sensing, personalized medicare, and artificial intelligence.
Keywords:Internet-of-Things  personalized healthcare  robotics  self-powered sensors  triboelectric nanogenerators
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