| 机器人带电作业中的视觉定位与优化策略 |
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| 引用本文： | 卞越洋,高晓科,张伟军.机器人带电作业中的视觉定位与优化策略[J].机械与电子,2021,39(5):57-61. |
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| 作者姓名： | 卞越洋 高晓科 张伟军 |
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| 作者单位： | 上海交通大学机械与动力工程学院,上海200240 |
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| 摘 要： | 针对机器人带电作业自动化的课题,通过机器视觉方法进行目标物体的定位.分析了像素坐标与世界坐标之间的转换关系,完成相机标定.基于形状匹配算法,提出分块与拼接策略,优化识别效果.基于最优化理论,分析定位误差,提出优化策略.通过实验验证了视觉算法的正确性和可靠性,为机器人自动化作业提供了保障.
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| 关 键 词： | 机器视觉 目标检测 自动化作业 优化策略 |
Vision Positioning and Optimization Strategy in Robot Live Work |
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| BIAN Yueyang,GAO Xiaoke,ZHANG Weijun.Vision Positioning and Optimization Strategy in Robot Live Work[J].Machinery & Electronics,2021,39(5):57-61. |
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| Authors: | BIAN Yueyang GAO Xiaoke ZHANG Weijun |
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| Affiliation: | (School of Mechanical Engineering ,Shanghai Jiao Tong University , Shanghai ２００２４０ , China ) |
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| Abstract: | In order to solve the automation of the live work robot , machine vision method is used to locate the target object．The conversion relationship between pixel coordinates and global coordinates is analyzed , and the camera calibration is completed．Based on the shape matching algorithm , a block and splicing strategy is proposed to optimize the recognition effect．Based on the optimization theory , the positioning error is analyzed and an optimization strategy is proposed．Experiments have verified the correctness and reliability of the vision algorithm , which provides a guarantee for robot automation． |
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| Keywords: | machine vision target detection automation optimization strategy |
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