Towards the Legibility of Multi-Robot Systems

Beatrice Capelli, María Santos, Lorenzo Sabattini
{"title":"Towards the Legibility of Multi-Robot Systems","authors":"Beatrice Capelli, María Santos, Lorenzo Sabattini","doi":"10.1145/3647984","DOIUrl":null,"url":null,"abstract":"Communication is crucial for human-robot collaborative tasks. In this context, legibility studies movement as the means of implicit communication between robotic systems and a human observer. This concept has been explored mostly for manipulators and humanoid robots. In contrast, little information is available in the literature about legibility of multi-robot systems or swarms, where simplicity and non-anthropomorphism of robots, along with the complexity of their interactions and aggregated behavior impose different challenges that are not encountered in single-robot scenarios. This paper investigates legibility of multi-robot systems. Hence, we extend the definition of legibility, incorporating information about high-level goals in terms of the coordination objective of the group of robots, to previous results that focused solely on the legibility of spatial goals. A set of standard multi-robot algorithms corresponding to different coordination objectives are implemented and their legibility is evaluated in a user study, where participants observe the behavior of the multi-robot system in a virtual reality setup and are asked to identify the system’s spatial goal and coordination objective. The results of the study confirmed that coordination objectives are discernible by the users, hence multi-robot systems can be controlled to be legible, in terms of spatial goal and coordination objective.","PeriodicalId":504644,"journal":{"name":"ACM Transactions on Human-Robot Interaction","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Human-Robot Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3647984","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

Communication is crucial for human-robot collaborative tasks. In this context, legibility studies movement as the means of implicit communication between robotic systems and a human observer. This concept has been explored mostly for manipulators and humanoid robots. In contrast, little information is available in the literature about legibility of multi-robot systems or swarms, where simplicity and non-anthropomorphism of robots, along with the complexity of their interactions and aggregated behavior impose different challenges that are not encountered in single-robot scenarios. This paper investigates legibility of multi-robot systems. Hence, we extend the definition of legibility, incorporating information about high-level goals in terms of the coordination objective of the group of robots, to previous results that focused solely on the legibility of spatial goals. A set of standard multi-robot algorithms corresponding to different coordination objectives are implemented and their legibility is evaluated in a user study, where participants observe the behavior of the multi-robot system in a virtual reality setup and are asked to identify the system’s spatial goal and coordination objective. The results of the study confirmed that coordination objectives are discernible by the users, hence multi-robot systems can be controlled to be legible, in terms of spatial goal and coordination objective.
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
实现多机器人系统的可读性
交流对于人机协作任务至关重要。在这种情况下,可读性研究将运动作为机器人系统与人类观察者之间隐性交流的手段。这一概念主要针对机械手和仿人机器人进行研究。相比之下,文献中关于多机器人系统或机器人群可辨识性的信息很少,在这些系统或机器人群中,机器人的简单性和非拟人化,以及它们之间复杂的交互和聚合行为带来了不同的挑战,而这些挑战在单机器人场景中是不会遇到的。本文研究的是多机器人系统的可识别性。因此,我们扩展了可辨识性的定义,纳入了机器人群协调目标方面的高层次目标信息,而以往的成果仅关注空间目标的可辨识性。我们实施了一套与不同协调目标相对应的标准多机器人算法,并在一项用户研究中对其可读性进行了评估,参与者在虚拟现实设置中观察多机器人系统的行为,并被要求识别系统的空间目标和协调目标。研究结果证实,用户可以识别协调目标,因此可以控制多机器人系统,使其在空间目标和协调目标方面具有可识别性。
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
自引率
0.00%
发文量
0
期刊最新文献
Field Trial of a Queue-Managing Security Guard Robot Introduction to the Special Issue on Artificial Intelligence for Human-Robot Interaction (AI-HRI) Enacting Human-Robot Encounters with Theater Professionals on a Mixed Reality Stage Understanding the Interaction between Delivery Robots and Other Road and Sidewalk Users: A Study of User-generated Online Videos Longitudinal Study of Mobile Telepresence Robots in Older Adults’ Homes: Uses, Social Connection, and Comfort with Technology
×
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