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Robot First Aid: Autonomous Vehicles Could Help in Emergencies
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-4998-1685
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0003-4894-4134
2021 (English)In: 2021 Swedish Artificial Intelligence Society Workshop (SAIS), IEEE, 2021Conference paper, Published paper (Refereed)
Abstract [en]

Safety is of critical importance in designing autonomous vehicles (AVs) that will be able to perform effectively in complex, mixed-traffic, real-world urban environments. Some prior research has looked at how to proactively avoid accidents with safe distancing and driver monitoring, but currently little research has explored strategies to recover afterwards from emergencies, from crime to natural disasters. The current short paper reports on our ongoing work using a speculative prototyping approach to explore this expansive design space, in the context of how a robot inside an AV could be deployed to support first aid. As a result, we present some proposals for how to detect emergencies, and examine and help victims, as well as lessons learned in prototyping. Thereby, our aim is to stimulate discussion and ideation that-by considering the prevalence of Murphy's law in our complex world, and the various technical, ethical, and practical concerns raised-could potentially lead to useful safety innovations. © 2021 IEEE.

Place, publisher, year, edition, pages
IEEE, 2021.
National Category
Robotics and automation
Identifiers
URN: urn:nbn:se:hh:diva-45239DOI: 10.1109/SAIS53221.2021.9483964ISI: 000855522600004Scopus ID: 2-s2.0-85111559787ISBN: 978-1-6654-4236-7 (electronic)ISBN: 978-1-6654-4237-4 (print)OAI: oai:DiVA.org:hh-45239DiVA, id: diva2:1577296
Conference
33rd annual workshop of the Swedish Artificial Intelligence Society (SAIS 2021), Luleå, Sweden (Virtual, Online), 14-15 June, 2021
Projects
Safety of Connected Intelligent Vehicles in Smart Cities – SafeSmartEmergency Vehicle Traffic Light Pre-emption in Cities – EPIC
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsVinnovaKnowledge FoundationAvailable from: 2021-07-02 Created: 2021-07-02 Last updated: 2025-02-09Bibliographically approved

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Cooney, MartinValle, FelipeVinel, Alexey

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CAISR - Center for Applied Intelligent Systems ResearchHalmstad Embedded and Intelligent Systems Research (EIS)Centre for Research on Embedded Systems (CERES)
Robotics and automation

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