基于遥操作演示的双臂协调与协调图

IF 0.9 4区 计算机科学 Q4 ROBOTICS International Journal of Humanoid Robotics Pub Date : 2022-05-18 DOI:10.1142/s0219843622500074
Guoyu Zuo, Zichen Xu, Gao Huang
{"title":"基于遥操作演示的双臂协调与协调图","authors":"Guoyu Zuo, Zichen Xu, Gao Huang","doi":"10.1142/s0219843622500074","DOIUrl":null,"url":null,"abstract":"<p>Efficient and collision-free coordination of two robot arms is increasingly needed in various service-oriented robotic applications. This paper proposes a dual arm coordination algorithm to improve the efficiency of coordination by considering both robot’s actions and operating sequences of the tasks that need to use two arms to complete complex operations. Teleoperation demonstration is first performed to obtain the robot’s human-like motion trajectories, so as to reduce the probability of the collisions between the two arms. The coordination diagram in time domain is then designed to more clearly represent the situations of trajectory collisions and find the collision-free coordination action law. A Coordination Pair Generator (CPG) is designed to reorganize the operating sequences according to the characteristics of input trajectories and the action coordination. The effectiveness and efficiency of our method are verified on the simulation and physical experiments which execute the drug sorting task in nursing homes, respectively, on the ABB YuMi robot model and self-developed robot system. According to the experiment results, the operation time has been reduced by 9% and the collision area has been reduced by 7.5%.</p>","PeriodicalId":50319,"journal":{"name":"International Journal of Humanoid Robotics","volume":"40 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dual Arm Coordination with Coordination Diagram Based on Teleoperation Demonstration\",\"authors\":\"Guoyu Zuo, Zichen Xu, Gao Huang\",\"doi\":\"10.1142/s0219843622500074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Efficient and collision-free coordination of two robot arms is increasingly needed in various service-oriented robotic applications. This paper proposes a dual arm coordination algorithm to improve the efficiency of coordination by considering both robot’s actions and operating sequences of the tasks that need to use two arms to complete complex operations. Teleoperation demonstration is first performed to obtain the robot’s human-like motion trajectories, so as to reduce the probability of the collisions between the two arms. The coordination diagram in time domain is then designed to more clearly represent the situations of trajectory collisions and find the collision-free coordination action law. A Coordination Pair Generator (CPG) is designed to reorganize the operating sequences according to the characteristics of input trajectories and the action coordination. The effectiveness and efficiency of our method are verified on the simulation and physical experiments which execute the drug sorting task in nursing homes, respectively, on the ABB YuMi robot model and self-developed robot system. According to the experiment results, the operation time has been reduced by 9% and the collision area has been reduced by 7.5%.</p>\",\"PeriodicalId\":50319,\"journal\":{\"name\":\"International Journal of Humanoid Robotics\",\"volume\":\"40 1\",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2022-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Humanoid Robotics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1142/s0219843622500074\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Humanoid Robotics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1142/s0219843622500074","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0

摘要

在各种面向服务的机器人应用中,越来越需要高效、无碰撞的机械臂协调。为了提高协调效率,本文提出了一种双臂协调算法,该算法既考虑了机器人的动作,又考虑了需要双臂完成复杂操作的任务的操作顺序。首先进行遥操作演示,获得机器人的类人运动轨迹,以降低双臂碰撞的概率。然后设计时域协调图,更清晰地表示轨迹碰撞的情况,找到无碰撞的协调作用规律。设计了一个协调对生成器(CPG),根据输入轨迹的特点和动作的协调性对操作序列进行重组。通过在ABB YuMi机器人模型和自主研发的机器人系统上执行养老院药物分拣任务的仿真实验和物理实验,验证了本文方法的有效性和高效性。实验结果表明,操作时间减少了9%,碰撞面积减少了7.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Dual Arm Coordination with Coordination Diagram Based on Teleoperation Demonstration

Efficient and collision-free coordination of two robot arms is increasingly needed in various service-oriented robotic applications. This paper proposes a dual arm coordination algorithm to improve the efficiency of coordination by considering both robot’s actions and operating sequences of the tasks that need to use two arms to complete complex operations. Teleoperation demonstration is first performed to obtain the robot’s human-like motion trajectories, so as to reduce the probability of the collisions between the two arms. The coordination diagram in time domain is then designed to more clearly represent the situations of trajectory collisions and find the collision-free coordination action law. A Coordination Pair Generator (CPG) is designed to reorganize the operating sequences according to the characteristics of input trajectories and the action coordination. The effectiveness and efficiency of our method are verified on the simulation and physical experiments which execute the drug sorting task in nursing homes, respectively, on the ABB YuMi robot model and self-developed robot system. According to the experiment results, the operation time has been reduced by 9% and the collision area has been reduced by 7.5%.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Humanoid Robotics
International Journal of Humanoid Robotics 工程技术-机器人学
CiteScore
3.50
自引率
13.30%
发文量
29
审稿时长
6 months
期刊介绍: The International Journal of Humanoid Robotics (IJHR) covers all subjects on the mind and body of humanoid robots. It is dedicated to advancing new theories, new techniques, and new implementations contributing to the successful achievement of future robots which not only imitate human beings, but also serve human beings. While IJHR encourages the contribution of original papers which are solidly grounded on proven theories or experimental procedures, the journal also encourages the contribution of innovative papers which venture into the new, frontier areas in robotics. Such papers need not necessarily demonstrate, in the early stages of research and development, the full potential of new findings on a physical or virtual robot. IJHR welcomes original papers in the following categories: Research papers, which disseminate scientific findings contributing to solving technical issues underlying the development of humanoid robots, or biologically-inspired robots, having multiple functionality related to either physical capabilities (i.e. motion) or mental capabilities (i.e. intelligence) Review articles, which describe, in non-technical terms, the latest in basic theories, principles, and algorithmic solutions Short articles (e.g. feature articles and dialogues), which discuss the latest significant achievements and the future trends in robotics R&D Papers on curriculum development in humanoid robot education Book reviews.
期刊最新文献
Task-Oriented Self-Imitation Learning for Robotic Autonomous Skill Acquisition Celebrating 20th Anniversary of IJHR Anthology: Cognitive Developmental Humanoids Robotics Learning an Image-Based Visual Servoing Controller for Object Grasping Conscious Learning without Post-Selection Misconduct
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1