| 割草机器人路径规划研究
——基于改进蚁群算法和计算机视觉 |
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| 引用本文： | 孙伟,李文俊.割草机器人路径规划研究
——基于改进蚁群算法和计算机视觉[J].农机化研究,2022,44(1):146-150. |
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| 作者姓名： | 孙伟 李文俊 |
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| 作者单位： | 苏州工业职业技术学院 软件与服务外包学院, 江苏 苏州 215104 |
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| 基金项目： | 江苏省自然科学基金项目青年项目(BK20180209);江苏省教育厅科技项目(18KJD520004)。 |
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| 摘 要： | 首先,从设计需求、结构体系和控制系统设计了割草机器人总体方案;然后,设计了草坪边界提取算法和割草机器人路径规划系统,实现了一套基于改进蚁群算法和计算机视觉的割草机器人路径规划系统.试验结果表明:割草机器人能够实现草坪边界提取和规划出最优路径,割草机器人路径规划具有一定的可行性.
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| 关 键 词： | 割草机器人 边界提取 路径规划 改进蚁群算法 计算机视觉 |
Research on Path Planning of Mowing Robot Based on Improved Ant Colony Algorithm and Computer Vision |
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| Sun Wei,Li Wenjun.Research on Path Planning of Mowing Robot Based on Improved Ant Colony Algorithm and Computer Vision[J].Journal of Agricultural Mechanization Research,2022,44(1):146-150. |
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| Authors: | Sun Wei Li Wenjun |
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| Institution: | (School of Software and Service Outsourcing,Suzhou Vocational Institute of Industrial Technology,Suzhou 215104,China) |
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| Abstract: | It first designed the general scheme of mowing robot from the design requirements,structure system and control system,then designed the lawn boundary extraction algorithm and mowing robot path planning system.It finally realized a set of mowing machine human path planning system based on improved ant colony algorithm and computer vision.The experimental results showed that the mowing robot can extract the lawn boundary and plan the optimal path,which proves that the path planning of mowing robot is feasible. |
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| Keywords: | mowing robot boundary extraction path planning improved ant colony algorithm computer vision |
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