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Immersive Control Rooms for Human-Robot Teams

dc.contributor.authorBransky, Karla
dc.contributor.authorSweetser, Penny
dc.contributor.authorFletcher, Kingsley
dc.date.accessioned2024-07-15T00:04:48Z
dc.date.available2024-07-15T00:04:48Z
dc.date.issued2024
dc.description.abstractHuman-robot teams are increasingly being used in complex and dangerous environments. At the same time, there is growing interest in the potential of immersive technologies such as virtual, augmented, and mixed reality (VR, AR, MR) for revolutionising command and control systems. Control rooms are dynamic high-information environments, where decision-making relies on fast and accurate information and clear communication to manage and respond to time-critical situations. However, control rooms are expensive and logistically challenging to set up and maintain. Further, the presentation of information to control room operators is challenging due to the boundaries of available space and the limits of traditional 2D interfaces. VR offers new opportunities for immersive communication and collaboration in human-robot teaming (HRT) for improving situational awareness to support informed decision- making. For example, VR can enable visualisation of complex information, embodied interaction for enhanced communication, teleoperation and control of remote robots and swarms, and enhanced spatial understanding of complex environments. In this paper, we survey the existing research on immersive control rooms for human-robot teams and discuss challenges and open questions.
dc.description.sponsorshipDSTG
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.urihttps://hdl.handle.net/1885/733713876
dc.language.isoen_AUen_AU
dc.relation.ispartof29th International Command and Control Research and Technology Symposium
dc.rights© 2024 The Author(s)
dc.subjectcommand and control
dc.subjectcontrol room
dc.subjecthuman-robot team
dc.subjecthuman-AI interaction
dc.subjectvirtual reality
dc.subjectimmersive
dc.subjectteaming
dc.titleImmersive Control Rooms for Human-Robot Teams
dc.typeConference paper
dspace.entity.typePublication
local.bibliographicCitation.lastpage11
local.bibliographicCitation.startpage1
local.contributor.affiliationBransky, K., ANU Computing, The Australian National University
local.contributor.affiliationSweetser, P., ANU Computing, The Australian National University
local.contributor.authoruidu1072166
local.description.embargo2099-12-31
local.publisher.urlhttps://internationalc2institute.org/29th-iccrts-information-central
local.type.statusPublished Version

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