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机器人视觉伺服研究进展:视觉系统与控制策略

贾丙西 刘山 张凯祥 陈剑

贾丙西, 刘山, 张凯祥, 陈剑. 机器人视觉伺服研究进展:视觉系统与控制策略. 自动化学报, 2015, 41(5): 861-873. doi: 10.16383/j.aas.2015.c140724
引用本文: 贾丙西, 刘山, 张凯祥, 陈剑. 机器人视觉伺服研究进展:视觉系统与控制策略. 自动化学报, 2015, 41(5): 861-873. doi: 10.16383/j.aas.2015.c140724
JIA Bing-Xi, LIU Shan, ZHANG Kai-Xiang, CHEN Jian. Survey on Robot Visual Servo Control: Vision System and Control Strategies. ACTA AUTOMATICA SINICA, 2015, 41(5): 861-873. doi: 10.16383/j.aas.2015.c140724
Citation: JIA Bing-Xi, LIU Shan, ZHANG Kai-Xiang, CHEN Jian. Survey on Robot Visual Servo Control: Vision System and Control Strategies. ACTA AUTOMATICA SINICA, 2015, 41(5): 861-873. doi: 10.16383/j.aas.2015.c140724

机器人视觉伺服研究进展:视觉系统与控制策略

doi: 10.16383/j.aas.2015.c140724
基金项目: 

国家自然科学基金(61273133, 61433013)

详细信息
    作者简介:

    贾丙西 浙江大学控制科学与工程学系博士研究生. 主要研究方向为计算机视觉, 视觉伺服控制.E-mail: bxjia@zju.edu.cn

    通讯作者:

    刘山 浙江大学控制科学与工程学系副教授. 2002 年获得浙江大学控制科学与工程学系博士学位. 主要研究方向为学习控制, 视觉伺服控制, 机器人技术.E-mail: sliu@iipc.zju.edu.cn

Survey on Robot Visual Servo Control: Vision System and Control Strategies

Funds: 

Supported by National Natural Science Foundation of China (61273133, 61433013)

  • 摘要: 视觉伺服控制是机器人系统的重要控制手段. 随着机器人应用需求的日益复杂多样,视觉伺服的研究面临着挑战. 视觉伺服系统的设计主要包括视觉系统、控制策略和实现策略三个方面. 文中对视觉伺服中存在的主要问题进行了分析,重点介绍了视觉系统中改善动态性能和处理噪声的主要技术手段,阐述了处理模型不确定性和约束的控制策略的改进方案,总结了提高视觉伺服系统的可实现性和灵活性的实现策略. 最后,基于当前的研究进展对未来的研究方向进行了展望.
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  • 收稿日期:  2014-10-27
  • 修回日期:  2015-01-06
  • 刊出日期:  2015-05-20

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