农机化研究2024，Vol.46Issue(8)：235-239,5.
基于计算机视觉的采摘机器人作业优化研究
Research on Operation Optimization of Picking Robot Based on Computer Vision
摘要
Abstract
In order to further improve the intelligent operation level and picking efficiency of picking robots in China,op-timization research was carried out based on computer vision application technology.Taking the structure group of the picking robot as the design basis,the mathematical model of the visual recognition processing and control of the picking robot was established by using the core concept of visual control,the appropriate picking path planning and the system picking state output design were implemented,and the visual picking verification test was carried.The results showed that the optimization of the picking robot system based on computer vision was correct and feasible,and the overall picking efficiency of the whole machine could reach 94.61%,the recognition accuracy and control accuracy of the system were increased by 6.12%and 5.25%respectively;the robot picking success rate could be increased to 95.98%due to the accuracy of the computer vision processing technology and the flexible coordination of the picking execution compo-nents.The effective application of the computer vision processing technology to the design and improvement of the picking robot would provide innovative and reference ideas for the development and research of similar agricultural picking and harvesting equipment,with good promotion value.关键词
采摘机器人/计算机视觉/视觉控制/识别准确率/采摘成功率Key words
picking robot/computer vision/visual control/recognition accuracy/picking success rate分类
农业科技引用本文复制引用
王新科,李凯..基于计算机视觉的采摘机器人作业优化研究[J].农机化研究,2024,46(8):235-239,5.基金项目
河南省高等学校重点科研项目(22B520053) （22B520053）
