Coordinating and programming multiple ROS-based robots with X-KLAIM

IF 1.1 3区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING International Journal on Software Tools for Technology Transfer Pub Date : 2023-11-02 DOI:10.1007/s10009-023-00727-w
Lorenzo Bettini, Khalid Bourr, Rosario Pugliese, Francesco Tiezzi
{"title":"Coordinating and programming multiple ROS-based robots with X-KLAIM","authors":"Lorenzo Bettini, Khalid Bourr, Rosario Pugliese, Francesco Tiezzi","doi":"10.1007/s10009-023-00727-w","DOIUrl":null,"url":null,"abstract":"Abstract Software development for robotics applications is still a major challenge that becomes even more complex when considering multi-robot systems (MRSs). Such distributed software has to perform multiple cooperating tasks in a well-coordinated manner to avoid unsatisfactory emerging behavior. This paper provides an approach for programming MRSs at a high abstraction level using the programming language X-Klaim . The computation and communication model of X-Klaim , based on multiple distributed tuple spaces, permits coordinating with the same abstractions and mechanisms both intra- and inter-robot interactions of an MRS. This allows developers to focus on MRS behavior, achieving readable, reusable, and maintainable code. The proposed approach can be used in practice by integrating X-Klaim and the popular robotics framework ROS. We demonstrate the feasibility and effectiveness of our approach by (i) showing how it scales when implementing two warehouse scenarios allowing us to reuse most of the code when passing from the simpler to the more enriched scenario and (ii) presenting the results of a few experiments showing that our code introduces a slightly greater but acceptable latency and consumes less memory than the traditional ROS implementation based on Python code.","PeriodicalId":14395,"journal":{"name":"International Journal on Software Tools for Technology Transfer","volume":"10 2","pages":"0"},"PeriodicalIF":1.1000,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Software Tools for Technology Transfer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10009-023-00727-w","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 2

Abstract

Abstract Software development for robotics applications is still a major challenge that becomes even more complex when considering multi-robot systems (MRSs). Such distributed software has to perform multiple cooperating tasks in a well-coordinated manner to avoid unsatisfactory emerging behavior. This paper provides an approach for programming MRSs at a high abstraction level using the programming language X-Klaim . The computation and communication model of X-Klaim , based on multiple distributed tuple spaces, permits coordinating with the same abstractions and mechanisms both intra- and inter-robot interactions of an MRS. This allows developers to focus on MRS behavior, achieving readable, reusable, and maintainable code. The proposed approach can be used in practice by integrating X-Klaim and the popular robotics framework ROS. We demonstrate the feasibility and effectiveness of our approach by (i) showing how it scales when implementing two warehouse scenarios allowing us to reuse most of the code when passing from the simpler to the more enriched scenario and (ii) presenting the results of a few experiments showing that our code introduces a slightly greater but acceptable latency and consumes less memory than the traditional ROS implementation based on Python code.
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
用X-KLAIM协调和编程多个ros机器人
机器人应用的软件开发仍然是一个主要的挑战,当考虑到多机器人系统(MRSs)时,它变得更加复杂。这种分布式软件必须以良好协调的方式执行多个协作任务,以避免出现令人不满意的行为。本文提供了一种使用编程语言X-Klaim在高抽象层次上对mrs进行编程的方法。X-Klaim的计算和通信模型基于多个分布式元组空间,允许与MRS的内部和机器人间交互的相同抽象和机制进行协调。这允许开发人员专注于MRS行为,实现可读、可重用和可维护的代码。所提出的方法可以通过集成X-Klaim和流行的机器人框架ROS在实践中使用。我们通过以下方式证明了我们方法的可行性和有效性:(i)展示了它在实现两个仓库场景时如何扩展,允许我们在从更简单的场景传递到更丰富的场景时重用大部分代码;(ii)展示了一些实验的结果,表明我们的代码引入了略大但可接受的延迟,并且比基于Python代码的传统ROS实现消耗更少的内存。
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 去求助
来源期刊
CiteScore
4.50
自引率
6.70%
发文量
39
期刊介绍: The International Journal on Software Tools for Technology Transfer (STTT) provides a forum for the discussion of all aspects of tools supporting the development of computer systems. It offers, above all, a tool-oriented link between academic research and industrial practice. Tool support for the development of reliable and correct computer-based systems is of growing importance, and a wealth of design methodologies, algorithms, and associated tools have been developed in different areas of computer science. However, each area has its own culture and terminology, preventing researchers from taking advantage of the results obtained by colleagues in other fields. Tool builders are often unaware of the work done by others, and thus unable to apply it. The situation is even more critical when considering the transfer of new technology into industrial practice.
期刊最新文献
A causal, time-independent synchronization pattern for collective adaptive systems A modal approach to conscious social agents Rigorous engineering of collective adaptive systems – 2nd special section Generating adaptation rule-specific neural networks A kinetic approach to investigate the collective dynamics of multi-agent systems
×
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