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A fiber-reinforced human-like soft robotic manipulator based on sEMG force estimation

机译:基于sEMG力估计的纤维增强类人形机器人

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Before the myoelectric prosthesis become a good substitute of a natural arm, there still exist several big challenges in terms of hand structural design and control algorithms. The overall objective of this paper is to propose a new humanoid hand with specify force output under sEMG control. A fiber reinforced three-cavity structure is proposed with thumb and middle finger bendable and the rest of the fingers bendable and twistable simultaneously to imitate the finger-to-finger function. The relation between the input pressure and twist angle is derived based on the material mechanics formula and the neo-Hookean model. The force module of the soft hand and sEMG are built achieving the accuracy of 94.2%. The experimental result has supported that the developed soft hand can be applied to artificial limb improving the quality of amputee's life.
机译:在肌电假体成为自然手臂的良好替代品之前,就手的结构设计和控制算法而言,仍然存在若干重大挑战。本文的总体目标是提出一种在sEMG控制下具有指定力输出的新型人形手。提出了一种纤维增强的三腔结构,拇指和中指可弯曲,其余手指可弯曲和可扭转,以模仿手指到手指的功能。基于材料力学公式和新霍克模型,推导了输入压力与扭转角之间的关系。内置的软手和sEMG测力模块可达到94.2%的精度。实验结果表明,所开发的软手可用于假肢,从而改善了被截肢者的生活质量。

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