在机械肢体中重现栩栩如生的动作

S. Wolpert, M. Cho
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引用次数: 1

摘要

讨论了机械臂控制中活肢运动的表征和公式的研究。利用个人计算机上的a /D转换器对人体肘关节进行盲伸运动的轨迹进行数字化和平滑处理。记录位置随时间变化的波形,并由此导出速度和加速度波形。轨迹根据时间和振幅归一化,多项式曲线及其前两个导数与之拟合。最后,将人类的轨迹与使用人工神经细胞的基于生物学的算法控制的机械臂的轨迹进行比较
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recreating life-like motion in robotic limbs
A study in which the motion of living limbs was characterized and formulated for the control of mechanical limbs is discussed. Trajectories of human elbow joints performing a blind reaching motion were digitized and smoothed using an A/D converter on a personal computer. Waveforms for position over time were recorded and velocity and acceleration waveforms derived from them. Trajectories were normalized with respect to time and amplitude and a polynomial curve and its first two derivatives fitted to them. Finally, the human trajectories were compared to that of a robotic arm controlled by a biologically based algorithm using artificial nerve cells.<>
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