书法机器人研究综述
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作者单位:

1.武汉科技大学信息科学与工程学院;2.安徽理工大学计算机科学与工程学院

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中图分类号:

TP242.6

基金项目:

国家自然科学基金项目(62073249);国家重点研发(2017YFB1300400) ;湖北省科技创新专项重大项目(2019AAA071) ;武汉市应用基础前沿项目(2018010401011275)


Survey of Calligraphy Robot
Author:
Affiliation:

1.College of Information Science and Technology, Wuhan University of Science and Technology;2.College of Computer Science and Technology,Anhui University of Science and Technology

Fund Project:

National Natural Science Foundation of China (62073249), National Key Research and Development (2017YFB1300400), the Special Major Project of Hubei Provincial Science and Technology Innovation (2019AAA071)and the Application Fundamental Frontier Project of Wuhan City(2018010401011275).

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    摘要:

    书法机器人将书法创作与机器人技术相融合,通过控制机械臂模拟人的书写行为和书法创作,再现艺术魅力。机器人书法作为机器人运动规划的典型应用,对传统书法文化的传承和教育具有重要深远的意义。按照书法机器人的研究脉络,回顾分析了书法机器人的发展历程。首先介绍笔画分离与提取关键技术,总结虚拟笔刷建模的两种经典笔触模型,然后详细阐述书写轨迹涉及到的核心技术,应用不同的书写轨迹规划控制书写路径。在此基础上分析目前书写评价指标,讨论了书法机器人的评价模型。最后回顾总结已有的研究进展及流程,对比了传统书法机器人和智能书法机器人各自的优缺点,提出将传统的书写轨迹路径、笔触模型融入到智能书法机器人训练模块中,以弥补其在笔画书写顺序方面的不足。同时,展望书法机器人未来的研究方向和发展趋势,指出未来书法机器人可围绕深度神经网络、深度神经进化、深度强化学习等开展研究。

    Abstract:

    The calligraphy robot integrates calligraphy creation and robotics technology, simulates human writing behavior and calligraphy creation by controlling mechanical arm,reproduces the charm of art.As a typical application of robot motion planning, robot calligraphy has important and far-reaching significance for the inheritance and education of traditional calligraphy culture. According to the research phase of calligraphy robot, the development course of calligraphy robot is reviewed and analyzed. This paper first introduces the key techniques of stroke separation and extraction, summarizes the two classic stroke models of virtual brush, Then elaborates on the core technologies involved in writing trajectory, and applies different writing trajectory planning to control writing path. On this basis, the current writing evaluation metrics is analyzed, and the evaluation model of calligraphy robot is discussed. Finally, the existing research progress and process are reviewed, the advantages and disadvantages between traditional calligraphy robot and intelligent calligraphy robot are compared. It is presented to integrate the traditional writing trajectory path and stroke model into the training module of intelligent calligraphy robot to make up for its shortcomings in the writing sequence of strokes.At the same time,look forward to the future research direction and development trend of calligraphy robots. It is pointed out that the future research of calligraphy robot could focus on deep neural network, deep neural evolution and deep reinforcement learning et al.

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  • 收稿日期:2021-01-22
  • 最后修改日期:2021-03-22
  • 录用日期:2021-03-29
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