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Robot Brush-Writing System of Chinese Calligraphy Characters

机译:中国书法人物的机器人刷子写作系统

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In this paper, robot calligraphy systems is developed to write Chinese brush characters dynamically. The BBOD algorithm of stroke extraction is optimized by adding a rule for merging stroke, the results show that the accuracy of stroke extraction is 95% for the Simple-style font, 92% for Kai-style font and 90% for Yan-style font. A model of calligraphy features is established, which includes not only the spatial structure features of Chinese characters, but also the dynamic writing features of Chinese characters. In the period of trajectory planning, a rule of Chinese brush characters applies to optimize the trajectory of stroke, and there are two steps of motion planning, cubic B-spline algorithm is used to plan the Cartesian path, then S curve algorithm is used to plan the joint space trajectory, in order to control manipulator smoothly and stably. To verify the proposed method, three types of experiments are conducted and the developed systems achieved good results in Chinese brush calligraphy reproducing.
机译:在本文中,开发了机器人书法系统以动态地写入中文刷字符。通过增加合并中风的规则来优化行程提取的BBOD算法,结果表明,简单风格字体的笔划提取精度为95%,kai风格的字体为92%,而yan风格字体为90% 。建立了书法功能模型,不仅包括汉字的空间结构特征,还包括汉字的动态写作特征。在轨迹规划期间,中文刷字符的规则适用于优化行程的轨迹,并且有两步的运动规划,立方B样条算法用于规划笛卡尔路径,然后使用S曲线算法规划联合空间轨迹,以便平稳且稳定地控制机械手。为了验证所提出的方法,进行了三种类型的实验,并且发达的系统在中国刷书法复制方面取得了良好的效果。

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