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基于图像超分辨的巡检机器人运动路径自动追踪方法

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复杂的场景可能使巡检机器人采集到的图像质量下降,导致机器人运动路径追踪时的精度下降.对此,提出基于图像超分辨的巡检机器人运动路径自动追踪方法.首先,通过图像超分辨技术提升运动图像质量,确保机器人在复杂环境下仍能清晰识别路径.然后,进行机器人运动路径配准,精确计算设备坐标系与基准坐标系间的平移和旋转关系.最后,利用模糊控制器进行机器人运动路径的动态追踪.结果表明,设计方法能够有效提升路径追踪精度,具有实用性.
Automatic Tracking Method for Inspection Robot Motion Path Based on Image Super Resolution
Complex scenes may lead to a decrease in the quality of images collected by inspection robots,resulting in a decrease in the accuracy of robot motion path tracking.A motion path automatic tracking method for inspection robots based on image super-resolution is proposed.Firstly,improving the quality of motion images through image super-resolution technology ensures that robots can still clearly recognize paths in complex environments.Then,perform robot motion path registration and accurately calculate the translation and rotation relationship between the equipment coordinate system and the reference coordinate system.Finally,a fuzzy controller is used for dynamic tracking of the robot's motion path.The results show that the design method can effectively improve the accuracy of path tracking and is practical.

image super resolutioninspection robotmotion pathrobot coordinates

宋庆敏、宋夏楠、王继红、朱建军、赵明举、邓炬鑫

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郑州科技学院电子与电气工程学院,河南 郑州 450064

图像超分辨 巡检机器人 运动路径 机器人坐标

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(17)