版权说明 操作指南
首页 > 成果 > 详情

Genetic algorithm-based path planning for grain leveling robot

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Yin, Qiang;Liu, Shuai;Gu, Jiaxin;Song, Shaoyun;Zhang, Yonglin;...
通讯作者:
Liu, S
作者机构:
[Gu, Jiaxin; Song, Shaoyun; Zhang, Yonglin; Liu, S; Liu, Shuai; Yin, Qiang] Wuhan Polytech Univ, Sch Mech Engn, Wuhan, Peoples R China.
[Hao, Zhiqiang; Zhao, Gang] Wuhan Univ Sci & Technol, Hubei Key Lab Mech Transmiss & Mfg Engn, Wuhan, Peoples R China.
通讯机构:
[Liu, S ] W
Wuhan Polytech Univ, Sch Mech Engn, Wuhan, Peoples R China.
语种:
英文
关键词:
Grain leveling robot;path planning;genetic algorithm;grain storage
期刊:
Mechanics Based Design of Structures and Machines
ISSN:
1539-7734
年:
2025
卷:
53
期:
2
页码:
801-819
基金类别:
Hubei Provincial Department of Education; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering; Wuhan Polytechnic University Research Grant; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering; Wuhan Polytechnic University Research Grant
机构署名:
本校为第一且通讯机构
院系归属:
机械工程学院
摘要:
Grain is the root of the people, and grain storage is a top priority. It is necessary to improve the efficiency of grain storage operations and reduce work intensity, so it is important to develop an automated or even intelligent grain leveling robot for the precise operation of grain silos. In this paper, we propose an area classification method based on target leveling height for the special working mode of truss-type grain leveling robot, simplify the 3D map to a 2D map, reduce the difficulty of path planning, and improve the working efficiency. Based on multi-level path planning and geneti...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com