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Levels of Automation for Human Influence of Robot Swarms

Walker, Phillip and Nunnally, Steven and Lewis, Michael and Chakraborty, Nilanjan and Sycara, Katia (2013) Levels of Automation for Human Influence of Robot Swarms. In: UNSPECIFIED.

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<jats:p> Autonomous swarm algorithms and human-robot interaction (HRI) have both attracted increasing attention from researchers in recent years. However, HRI has rarely extended beyond single robots or small multi-robot teams. While one of the benefits of robot swarms is their robust capabilities and the ability of their distributed algorithms to deal autonomously with the complex interactions amongst swarm members, there is undoubtedly a need for humans to influence such swarms in some circumstances—especially when these swarms are operating in unknown or hostile environments. In this paper, we approach the problem of human-swarm interaction (HSI) using previous research in levels of automation (LOAs) in HRI. We create a target searching task whereby the swarm can operate at two different levels of autonomy: an autonomous dispersion algorithm, or user-defined goto points. We investigate what environmental conditions are conducive to different amounts of human influence, and at what point further human intervention has a detrimental effect on the swarm’s performance. The results show that for complex environments containing numerous obstacles and small passageways, there is indeed a need for some human influence; however, after a certain point, further influence causes performance degradation. </jats:p>


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Walker, Phillip
Nunnally, Steven
Lewis, Michael
Chakraborty, Nilanjan
Sycara, Katia
Date: September 2013
Date Type: Publication
Journal or Publication Title: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Volume: 57
Number: 1
Publisher: SAGE Publications
Page Range: 429 - 433
Event Type: Conference
DOI or Unique Handle: 10.1177/1541931213571093
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 2169-5067
Date Deposited: 16 Jun 2014 17:04
Last Modified: 16 May 2021 14:55


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