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Robot Brush-Writing System of Chinese Calligraphy Characters

机译:汉字机器人笔迹书写系统

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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:本文开发了机器人书法系统来动态书写中文毛笔字符。通过添加笔画合并规则对笔画提取的BBOD算法进行了优化,结果表明:简单样式的笔画提取精度为95%,Kai样式为92%,Yan样式为90% 。建立了书法特征模型,不仅包括汉字的空间结构特征,还包括汉字的动态书写特征。在轨迹规划阶段,采用汉字笔划法则对笔划轨迹进行优化,运动规划分为两个步骤,三次B样条算法用于规划笛卡尔路径,然后采用S曲线算法对轨迹进行规划。规划关节空间轨迹,以平稳,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,并且所开发的系统在中国毛笔书法复制中取得了良好的效果。

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