Intuitive Impedance Modulation in Haptic Control Using Electromyography

Kees van Teeffelen, D. Dresscher, W. V. Dijk, S. Stramigioli
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引用次数: 7

Abstract

Humans have multiple ways to adapt their arm dynamics to the task they have to perform. One way of doing this is through co-contraction of antagonist muscles. In telemanipulation this ability is easily lost due to time delays, quantization effects, bandwidth or hardware limitations. In this work a new concept for telemanipulation is presented. The end-point stiffness of a (simulated) telerobot is controlled via a variable impedance controller. The end effector stiffness scales with an estimate of the co-contraction around the elbow of the teleoperator. The telemanipulation concept was evaluated with ten subjects that performed two telemanipulation tasks in six different conditions. Three impedance levels: low, high, and variable, and two delay settings. The first task was on positioning accuracy, the second task on impact minimization. We have shown that low and variable impedance performed significantly better on the force task than high impedance. We have also shown that high and variable impedance performed significantly better on the position task than low impedance. This shows that the human ability to control arm stiffness can effectively be transferred to a telemanipulated robot.
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直观阻抗调制在肌电触觉控制中的应用
人类有多种方法来调整手臂的动态以适应他们必须执行的任务。一种方法是通过拮抗剂肌肉的共同收缩。在远程操作中,由于时间延迟、量化效应、带宽或硬件限制,这种能力很容易丧失。本文提出了一种新的远程操作概念。通过可变阻抗控制器控制(仿真)遥控机器人的末端刚度。末端执行器的刚度与远程操作者肘部周围的共收缩的估计有关。通过10名被试在6种不同条件下执行2个操作任务来评估远程操作概念。三个阻抗水平:低,高,可变,和两个延迟设置。第一个任务是定位精度,第二个任务是最小化影响。我们已经表明,低阻抗和可变阻抗在力任务上的表现明显优于高阻抗。我们还表明,高阻抗和可变阻抗在位置任务上的表现明显优于低阻抗。这表明人类控制手臂刚度的能力可以有效地转移到远程操纵机器人上。
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