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dc.contributor.authorCamargo Forero, Leonardo
dc.contributor.authorRoyo Chic, Pablo
dc.contributor.authorPrats Menéndez, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.date.accessioned2018-10-09T16:57:54Z
dc.date.issued2018
dc.identifier.citationCamargo, L., Royo, P., Prats, X. High performance robotic computing as an enabler for cooperative flights. A: Digital Avionics Systems Conference. "Proceedings of 37th AIAA/IEEE Digital Avionics Systems Conference (DASC)". 2018, p. 869-878.
dc.identifier.urihttp://hdl.handle.net/2117/122109
dc.description37th DASC Best of session (ATM-E: Automation) award 2018, concedit per l'Institute of Electrical and Electronics Engineers i American Institute of Aeronautics and Astronautics
dc.description.abstractHigh Performance Robotic Computing (HPRC) is a new computer science field, which aims at exploiting traditional High Performance Computing (HPC) features, strategies and technologies in the context of multi-robot settings or more generally in vehicles capable of embedding computing units and able to use them to integrate with other similar vehicles as a single cohesive unit. In this work, we present the novel idea of HPRC cooperative flying, aircraft that while flying, join to do so cooperatively, during segments of their trajectories by becoming a HPRC cluster of aircraft. Furthermore, we introduce a simulation platform for HPRC cooperative flights which allows evaluating joining strategies, performance indicators such as fuel consumption, etc. The platform is written using parallel computing libraries, which allows it to run upon HPC clusters of computers and to be used to evaluate any quantity of flights. As a proof of concept, we present results of a simulation composed of up to 256 flights flying to Paris Charles de Gaulle Airport. In addition, we introduce a novel performance indicator based on the ideas of network science, specifically Global Reaching Centrality (GRC), which we define as Aircraft Network hierarchy (ANH).
dc.format.extent10 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Aeronàutica i espai
dc.subject.lcshRobots, Industrial
dc.subject.otherHigh Performance Robotic Computing (HPRC)
dc.subject.otherHPRC cooperative flying
dc.subject.otherHPRC cluster of aircraft
dc.subject.othercooperative flights
dc.subject.otherhierarchical air traffic network
dc.subject.otherAircraft Network Hierarchy
dc.titleHigh performance robotic computing as an enabler for cooperative flights
dc.typeConference lecture
dc.subject.lemacRobots industrials
dc.contributor.groupUniversitat Politècnica de Catalunya. ICARUS - Intelligent Communications and Avionics for Robust Unmanned Aerial Systems
dc.description.peerreviewedPeer Reviewed
dc.description.awardwinningAward-winning
dc.rights.accessRestricted access - publisher's policy
drac.iddocument23363807
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorCamargo, L., Royo, P., Prats, X.
upcommons.citation.contributorDigital Avionics Systems Conference
upcommons.citation.publishedtrue
upcommons.citation.publicationNameProceedings of 37th AIAA/IEEE Digital Avionics Systems Conference (DASC)
upcommons.citation.startingPage869
upcommons.citation.endingPage878


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