Quasi-static object manipulation by mobile robot: Optimal motion planning using GA

Hossein Barghijand, A. Akbarimajd, J. Keighobadi
{"title":"Quasi-static object manipulation by mobile robot: Optimal motion planning using GA","authors":"Hossein Barghijand, A. Akbarimajd, J. Keighobadi","doi":"10.1109/ISDA.2011.6121655","DOIUrl":null,"url":null,"abstract":"Quasi-static object manipulation using a wheeled mobile robot is studied. For a mobile robot, as a typical set-up for transportation of objects, dynamic grasp problem is defined. It is assumed that the robot moves along a straight path and carries an object on its upper surface and the object should not move relative to the robot (dynamic grasp problem). It is also assumed that the robot has limited wheel motors torque. It is shown that to preserve dynamic grasp between the object and the robot, acceleration of the robot has to remain in a specified range. A third order polynomial for position equation of the mobile robot is selected and dynamic grasp and torque conditions are sketched as a constraint on acceleration of the robot. An optimization problem is proposed to find the optimal motion of the robot. A genetic algorithm is proposed to solve the optimization problem. The solutions are validated by simulations in MSC-ADAMS and MATLAB in general case of the optimization problem and also in minimum time, maximum distance and minimum energy problems as special cases of the general problem.","PeriodicalId":433207,"journal":{"name":"2011 11th International Conference on Intelligent Systems Design and Applications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 11th International Conference on Intelligent Systems Design and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDA.2011.6121655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Quasi-static object manipulation using a wheeled mobile robot is studied. For a mobile robot, as a typical set-up for transportation of objects, dynamic grasp problem is defined. It is assumed that the robot moves along a straight path and carries an object on its upper surface and the object should not move relative to the robot (dynamic grasp problem). It is also assumed that the robot has limited wheel motors torque. It is shown that to preserve dynamic grasp between the object and the robot, acceleration of the robot has to remain in a specified range. A third order polynomial for position equation of the mobile robot is selected and dynamic grasp and torque conditions are sketched as a constraint on acceleration of the robot. An optimization problem is proposed to find the optimal motion of the robot. A genetic algorithm is proposed to solve the optimization problem. The solutions are validated by simulations in MSC-ADAMS and MATLAB in general case of the optimization problem and also in minimum time, maximum distance and minimum energy problems as special cases of the general problem.
移动机器人准静态目标操纵:基于遗传算法的最优运动规划
研究了轮式移动机器人对准静态物体的操纵。对于移动机器人,动态抓取问题是一种典型的物体搬运机构。假设机器人沿直线运动并在其上表面携带物体,物体不应相对于机器人移动(动态抓取问题)。同时假设机器人的轮式电机转矩有限。研究表明,为了保持物体与机器人之间的动态抓取,机器人的加速度必须保持在一定范围内。选择了移动机器人位置方程的三阶多项式,并给出了动态抓取和力矩条件作为机器人加速度的约束条件。提出了求解机器人最优运动的优化问题。提出了一种遗传算法来解决优化问题。通过在MSC-ADAMS和MATLAB中对优化问题的一般情况以及作为一般问题的特殊情况的最小时间、最大距离和最小能量问题进行了仿真验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信