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Learning from nature will inspire the advances of soft tactile sensors as mother nature is proficient in achieving unique functionality at the simplest construction. Herein, the fabrication of self\u2010powered soft tactile sensors is reported. The shape of flexible sensors mimics Merkel's disks, allowing for a well tactile perceptual functionality. Due to the use of flexible magnetoelectric materials, the sensors are self\u2010powered without external power supply. This unique functionality is explained by Maxwell's numerical simulation, allowing for further improvement of their performance by adjusting diverse fabrication factors. Furthermore, such self\u2010powered soft tactile sensors are attached to the tips of a robotic arm, enabling the arm to distinguish different objects after smart learning. The soft sensor design reported here is expected to manifest in a range of self\u2010powered sensing systems, opening up as yet unexplored avenues for the development and the exploitation of future intelligent robots and their deep learning.<\/jats:p><\/jats:sec>","DOI":"10.1002\/aisy.201900140","type":"journal-article","created":{"date-parts":[[2019,12,18]],"date-time":"2019-12-18T08:44:18Z","timestamp":1576658658000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Merkel's Disks Bioinspired Self\u2010Powered Flexible Magnetoelectric Sensors Toward the Robotic Arm's Tactile Perceptual Functioning and Smart Learning"],"prefix":"10.1002","volume":"2","author":[{"given":"Zheng","family":"Ma","sequence":"first","affiliation":[{"name":"State Key Laboratory of Material Processing and Die &amp; Mould Technology School of Materials Science and Engineering Huazhong University of Science and Technology  Wuhan 430074 Hubei P. 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