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图像识别与微纳机器人操作

发表时间:2019-12-31  浏览量:130  下载量:27
全部作者: 魏振中,苏玮琳,秦湘政,承凯,刘梅
作者单位: 上海大学机电工程与自动化学院
摘 要: 提出一种基于图像识别的微纳机器人操作方式。预设一个目标点后,可自动化地规划微米小球的推动路径,并实施推动操作。运用扫描电子显微镜(scanning electron microscope,SEM)的实时成像技术获取纳米操作台的实时图像信息,并使用图像处理技术提取微米小球与探针的几何特征,实时矫正探针推动微米小球时产生的接触误差。同时,通过自组织映射(self-organizing maps,SOM)算法规划微米小球的推动路径,以提高单探针环境下推动多个微米小球时的效率。研究最终实现自动化操作环境下,根据规划路径高效而精准地推动多个微米小球至相应的目标点。
关 键 词: 计算机科学技术其他学科;微纳操作;实时矫正;图像识别;路径规划
Title: Image recognition and micro-nano robot operation
Author: WEI Zhenzhong, SU Weilin, QIN Xiangzheng, CHENG Kai, LIU Mei
Organization: School of Mechatronic Engineering and Automation, Shanghai University
Abstract: A micro-nano robot operation mode based on image recognition is proposed in this paper. By presetting a target point, the push path of the microspheres can be automatically planned and the push operation can be carried out. The real-time imaging information of the nano-operator is acquired by real-time imaging technology of scanning electron microscope (SEM), and the geometric characteristics of the microspheres and probes are extracted by using image processing technology, and the contact error generated when the probe pushes the microspheres is corrected in real time. At the same time, the self-organizing maps (SOM) algorithm is used to plan the push path of the microspheres to improve the efficiency of pushing multiple microspheres in a single probe environment. Finally, in an automated operating environment, multiple microspheres are efficiently and accurately pushed to the corresponding target points according to the planned path.
Key words: other subjects of computer science and technology; micro-nano operation; real-time correction; image recognition; path planning
发表期数: 2019年12月第6期
引用格式: 魏振中,苏玮琳,秦湘政,等. 图像识别与微纳机器人操作[J]. 中国科技论文在线精品论文,2019,12(6):933-942.
 
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