骑马机器人模拟器体重辅助系统

Ji-Won Seo, Oh-Hoon Kwon, Jeong-Yean Yang, Chan-Soon Lim, D. Kwon
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引用次数: 0

摘要

骑手通过与马交流来控制马。这种类型的交流,统称为骑马辅助,在骑马中很重要。当骑手在骑马过程中与马交流时,马用自己的智能决定骑手的命令,并控制自己的马达。我们期望概率因子可以代表骑乘辅助,并且可以用来控制马匹。因此,我们提出了一个概率模型,骑辅助,特别是体重辅助。为了估计重量辅助的可能性,我们设计了一个配备传感器的马鞍来测量垂直力。这些传感器计算重心(COG)。在实验中,骑手骑在装有传感器的马鞍上,传感器根据骑手的命令记录下COG数据。最后,我们以骑手指令的形式给出了辅助负重的概率。重量辅助的概率可以是其他骑乘辅助概率的先验概率,我们期望骑手可以用这些概率模型来控制骑乘机器人模拟器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weight aids system for Horse Riding Robot Simulator
A rider communicates with a horse to control the horse. This type of communication, collectively known as riding aids, is important in horse riding. When the rider communicates with the horse during horse riding, the horse determines the rider's command with its own intelligence and controls its own motors. We expect that probability factors can represent the riding aids and they can be used to control the horse. Therefore, we propose a probability model of riding aids, especially weight aids. To estimate the probability of the weight aids, we devised a sensor-equipped saddle that measures the vertical force. These sensors calculate the Center of Gravity (COG). In experiments, the rider rides on the horse with the sensor-equipped saddle and the sensors record the COG data depending on the rider's commands. Finally, we formulated the probability of the weight aids as rider commands. The probability of weight aid can be a prior probability of other riding aid probability, and we expect that the rider can control a horse robot simulator with theses probability models.
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