New Approach to Planning the Complex Movements of 6-DOF Industrial Robot Subjected to Acceleration Constraints

Grzegorz Pająk
{"title":"New Approach to Planning the Complex Movements of 6-DOF Industrial Robot Subjected to Acceleration Constraints","authors":"Grzegorz Pająk","doi":"10.12913/22998624/186361","DOIUrl":null,"url":null,"abstract":"A method of trajectory planning with regards to joint velocity and acceleration constraints for industrial 6DOF manipulator is presented. The task of the robot is to move to specified location in the workspace passing through intermediate waypoints. The proposed algorithm can be used to plan the task of the robot by autonomous systems in smart factories eliminating human participation in the robot programing process. Opposite to similar approaches it does not assume the type of function describing the motion of the robot. The trajectories generated using the proposed approach are smooth and provide smooth velocities and continuous joint accelerations. The motion is planned in such a way to fulfill joint velocity and acceleration constraints. Fulfillment of velocity limitations is accomplished by perturbing the manipulator motion close to velocity limits. To satisfy acceleration constraints a trajectory scaling approach carried out in limited periods of time is used. The results of the research are illustrated by simulations and experiments, in which an analysis of the method of performing robot tasks carried out using built-in algorithms and presented methods are performed.","PeriodicalId":517116,"journal":{"name":"Advances in Science and Technology Research Journal","volume":"60 18","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Science and Technology Research Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12913/22998624/186361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A method of trajectory planning with regards to joint velocity and acceleration constraints for industrial 6DOF manipulator is presented. The task of the robot is to move to specified location in the workspace passing through intermediate waypoints. The proposed algorithm can be used to plan the task of the robot by autonomous systems in smart factories eliminating human participation in the robot programing process. Opposite to similar approaches it does not assume the type of function describing the motion of the robot. The trajectories generated using the proposed approach are smooth and provide smooth velocities and continuous joint accelerations. The motion is planned in such a way to fulfill joint velocity and acceleration constraints. Fulfillment of velocity limitations is accomplished by perturbing the manipulator motion close to velocity limits. To satisfy acceleration constraints a trajectory scaling approach carried out in limited periods of time is used. The results of the research are illustrated by simulations and experiments, in which an analysis of the method of performing robot tasks carried out using built-in algorithms and presented methods are performed.
规划受加速度约束的 6-DOF 工业机器人复杂运动的新方法
本文介绍了一种针对工业 6DOF 机械手的关节速度和加速度约束的轨迹规划方法。机械手的任务是移动到工作空间中的指定位置,途中经过中间航点。所提出的算法可用于智能工厂中自主系统对机器人任务的规划,无需人类参与机器人编程过程。与类似方法不同的是,它不假定描述机器人运动的函数类型。使用所提出的方法生成的轨迹是平滑的,能提供平滑的速度和连续的关节加速度。运动规划的方式是满足关节速度和加速度限制。通过对接近速度极限的机械手运动进行扰动来实现速度限制。为了满足加速度限制,采用了在有限时间内进行轨迹缩放的方法。研究结果通过模拟和实验进行了说明,其中分析了使用内置算法和介绍的方法执行机器人任务的方法。
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