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Expect the Unexpected: Leveraging the Human-Robot Ecosystem to Handle Unexpected Robot Failures

Unexpected robot failures are inevitable. We propose to leverage socio-technical relations within the human-robot ecosystem to support adaptable strategies for handling unexpected failures. The Theory of Graceful Extensibility is used to understand how characteristics of the ecosystem can influence...

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Detalles Bibliográficos
Autores principales: Honig, Shanee, Oron-Gilad, Tal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352555/
https://www.ncbi.nlm.nih.gov/pubmed/34381819
http://dx.doi.org/10.3389/frobt.2021.656385
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author Honig, Shanee
Oron-Gilad, Tal
author_facet Honig, Shanee
Oron-Gilad, Tal
author_sort Honig, Shanee
collection PubMed
description Unexpected robot failures are inevitable. We propose to leverage socio-technical relations within the human-robot ecosystem to support adaptable strategies for handling unexpected failures. The Theory of Graceful Extensibility is used to understand how characteristics of the ecosystem can influence its ability to respond to unexpected events. By expanding our perspective from Human-Robot Interaction to the Human-Robot Ecosystem, adaptable failure-handling strategies are identified, alongside technical, social and organizational arrangements that are needed to support them. We argue that robotics and HRI communities should pursue more holistic approaches to failure-handling, recognizing the need to embrace the unexpected and consider socio-technical relations within the human robot ecosystem when designing failure-handling strategies.
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spelling pubmed-83525552021-08-10 Expect the Unexpected: Leveraging the Human-Robot Ecosystem to Handle Unexpected Robot Failures Honig, Shanee Oron-Gilad, Tal Front Robot AI Robotics and AI Unexpected robot failures are inevitable. We propose to leverage socio-technical relations within the human-robot ecosystem to support adaptable strategies for handling unexpected failures. The Theory of Graceful Extensibility is used to understand how characteristics of the ecosystem can influence its ability to respond to unexpected events. By expanding our perspective from Human-Robot Interaction to the Human-Robot Ecosystem, adaptable failure-handling strategies are identified, alongside technical, social and organizational arrangements that are needed to support them. We argue that robotics and HRI communities should pursue more holistic approaches to failure-handling, recognizing the need to embrace the unexpected and consider socio-technical relations within the human robot ecosystem when designing failure-handling strategies. Frontiers Media S.A. 2021-07-26 /pmc/articles/PMC8352555/ /pubmed/34381819 http://dx.doi.org/10.3389/frobt.2021.656385 Text en Copyright © 2021 Honig and Oron-Gilad. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Honig, Shanee
Oron-Gilad, Tal
Expect the Unexpected: Leveraging the Human-Robot Ecosystem to Handle Unexpected Robot Failures
title Expect the Unexpected: Leveraging the Human-Robot Ecosystem to Handle Unexpected Robot Failures
title_full Expect the Unexpected: Leveraging the Human-Robot Ecosystem to Handle Unexpected Robot Failures
title_fullStr Expect the Unexpected: Leveraging the Human-Robot Ecosystem to Handle Unexpected Robot Failures
title_full_unstemmed Expect the Unexpected: Leveraging the Human-Robot Ecosystem to Handle Unexpected Robot Failures
title_short Expect the Unexpected: Leveraging the Human-Robot Ecosystem to Handle Unexpected Robot Failures
title_sort expect the unexpected: leveraging the human-robot ecosystem to handle unexpected robot failures
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352555/
https://www.ncbi.nlm.nih.gov/pubmed/34381819
http://dx.doi.org/10.3389/frobt.2021.656385
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