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Implementation and Test of Human-Operated and Human-Like Adaptive Impedance Controls on Baxter Robot

机译:在Baxter机器人上的人工和人类自适应阻抗控制的实施和测试

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This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremental stiffness extraction method is developed, which uses instantaneous amplitude identified from EMG in a high frequency band, compensating for non-linear residual error in the linear mapping and preventing muscle fatigue from affecting the control. Experiments on one joint of the Baxter robot are carried out to test the approach in a disturbance attenuation task, and to compare it with automatic human-like impedance adaptation. The experimental results demonstrate that the new human operated impedance method is successful at attenuating disturbance, and results similarly to as automatic disturbance attenuation, thus demonstrating its efficiency.
机译:本文介绍了基于表面肌电学(EMG)的机器人的远程阻抗的改进方法,并通过实验测试。基于EMG幅度和刚度之间的线性映射,开发了一种增量刚度提取方法,其利用高频带中的瞬时幅度,在线映射中补偿了线性映射中的非线性残余误差,防止肌肉疲劳影响影响控制。对Baxter机器人的一个接合进行实验,以测试干扰衰减任务中的方法,并将其与自动人类的阻抗适应进行比较。实验结果表明,新的人体操作阻抗方法在衰减干扰时成功,结果类似于自动干扰衰减,从而展示其效率。

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