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作 者:Yizhuo Xu Shanfei Zhang Shuya Li Zhenhua Wu Yike Li Zhuofan Li Xiaojun Chen Congcan Shi Peng Chen Pengyu Zhang Michael D.Dickey Bin Su
机构地区:[1]State Key Laboratory of Material Processing and Die&Mold Technology,School of Materials Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074 Hubei,P.R.China [2]School of Mechanical Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074 Hubei,P.R.China [3]Department of Chemical and Biomolecular Engineering,North Carolina State University,Raleigh,NC 27695,USA
出 处:《npj Flexible Electronics》2024年第1期938-948,共11页npj-柔性电子(英文)
基 金:supported by the initiatory financial support from Huazhong University of Science and Technology,and the National Natural Science Foundation of China(52375336).
摘 要:Robotic fingers with multidirectional tactile perception are of great importance for the robotic exploration of complex unknown space,especially in environments in which visualization is not possible.Unfortunately,most existing tactile sensors for robotic fingers cannot detect multidirectional forces,which greatly limits their potential for further development in navigating complex environments.Here,we demonstrate a soft magnetoelectric finger(SMF)that can achieve self-generated-signal and multidirectional tactile sensing.The SMF is composed of two parts:a‘finger’covered with a skin-like flexible sheath containing five liquid metal(LM)coils and a‘phalangeal bone’containing a magnet.Due to the changes in magnetic flux through the LM coils caused by external forces,diverse induced voltages are generated and collected in real-time,which can be explained by Maxwell’s numerical simulation.By the analysis of the signals generated by the five LM coils,the SMF can detect forces in varied directions and distinguish 6 different common objects with varied Young’s moduli with an accuracy of 97.46%.These capabilities make the SMF suitable for complex unknown space exploration tasks,as proved by the black box exploration.The SMF can enable the development of self-generated-signal and multidirectional tactile perception for future robots.
关 键 词:environments MAGNETO PERCEPTION
分 类 号:TP2[自动化与计算机技术—检测技术与自动化装置]
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