A Model for Tacit Communication in Collaborative Human-UAV Search-and-Rescue

Tacit communication can be exploited in human robot interaction (HRI) scenarios to achieve desirable outcomes. This paper models a particular search and rescue (SAR) scenario as a modified asymmetric rendezvous game, where limited signaling capabilities are present between the two players—rescuer an...

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Main Authors: Vijeth Hebbar, Cédric Langbort
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/23/8/1027
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author Vijeth Hebbar
Cédric Langbort
author_facet Vijeth Hebbar
Cédric Langbort
author_sort Vijeth Hebbar
collection DOAJ
description Tacit communication can be exploited in human robot interaction (HRI) scenarios to achieve desirable outcomes. This paper models a particular search and rescue (SAR) scenario as a modified asymmetric rendezvous game, where limited signaling capabilities are present between the two players—rescuer and rescuee. We model our situation as a co-operative Stackelberg signaling game, where the rescuer acts as a leader in signaling its intent to the rescuee. We present an efficient game-theoretic approach to obtain the optimal signaling policy to be employed by the rescuer. We then robustify this approach to uncertainties in the rescue topology and deviations in rescuee behavior. The paper thus introduces a game-theoretic framework to model an HRI scenario with implicit communication capacity.
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spelling doaj.art-788c5cb3da5f475cb9c0d86f684ead252023-11-22T07:35:15ZengMDPI AGEntropy1099-43002021-08-01238102710.3390/e23081027A Model for Tacit Communication in Collaborative Human-UAV Search-and-RescueVijeth Hebbar0Cédric Langbort1Coordinated Science Laboratory, University of Illinois Urbana-Champaign, Champaign, IL 61820, USACoordinated Science Laboratory, University of Illinois Urbana-Champaign, Champaign, IL 61820, USATacit communication can be exploited in human robot interaction (HRI) scenarios to achieve desirable outcomes. This paper models a particular search and rescue (SAR) scenario as a modified asymmetric rendezvous game, where limited signaling capabilities are present between the two players—rescuer and rescuee. We model our situation as a co-operative Stackelberg signaling game, where the rescuer acts as a leader in signaling its intent to the rescuee. We present an efficient game-theoretic approach to obtain the optimal signaling policy to be employed by the rescuer. We then robustify this approach to uncertainties in the rescue topology and deviations in rescuee behavior. The paper thus introduces a game-theoretic framework to model an HRI scenario with implicit communication capacity.https://www.mdpi.com/1099-4300/23/8/1027signalinghuman robot interactiongame theory
spellingShingle Vijeth Hebbar
Cédric Langbort
A Model for Tacit Communication in Collaborative Human-UAV Search-and-Rescue
Entropy
signaling
human robot interaction
game theory
title A Model for Tacit Communication in Collaborative Human-UAV Search-and-Rescue
title_full A Model for Tacit Communication in Collaborative Human-UAV Search-and-Rescue
title_fullStr A Model for Tacit Communication in Collaborative Human-UAV Search-and-Rescue
title_full_unstemmed A Model for Tacit Communication in Collaborative Human-UAV Search-and-Rescue
title_short A Model for Tacit Communication in Collaborative Human-UAV Search-and-Rescue
title_sort model for tacit communication in collaborative human uav search and rescue
topic signaling
human robot interaction
game theory
url https://www.mdpi.com/1099-4300/23/8/1027
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