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dc.contributor.authorNavarro, Joan
dc.contributor.authorSancho-Asensio, Andreu
dc.contributor.authorGarriga, Carles
dc.contributor.authorAlbo-Canals, J.
dc.contributor.authorOrtiz-Villajos Maroto, Julio
dc.contributor.authorRaya Giner, Cristóbal
dc.contributor.authorAngulo Bahón, Cecilio
dc.contributor.authorMiralles, David
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2013-11-18T10:29:53Z
dc.date.available2013-11-18T10:29:53Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationNavarro, J. [et al.]. A Cloud robotics architecture to foster individual child partnership in medical facilities. A: IROS Workshop on Cloud Robotics. "Cloud Robotics Workshop in 26th IEEE/RSJ International Conference on Intelligent Robots and Systems". Tokyo: 2013.
dc.identifier.urihttp://hdl.handle.net/2117/20636
dc.description.abstractRobots and automation systems have become a valuable partner in several facets of human life: from learning and teaching, to daily working, including health monitoring and assistance. So far, these appealing robot-based applications are restricted to conduct repetitive, yet useful, tasks due to the reduced individual robots’ capabilities in terms of processing and computation. This concern prevents current robots from facing more complex applications related to understanding hu- man beings and perceiving their subtle feelings. Such hardware limitations have been already found in the computer science field. In this domain, they are currently being addressed using a new resource exploitation model coined as cloud computing, which is targeted at enabling massive storage and computation using smartly connected and inexpensive commodity hardware. The purpose of this paper is to propose a cloud-based robotics architecture to effectively develop complex tasks related to hospitalized children assistance. More specifically, this paper presents a multi-agent learning system that combines machine learning and cloud computing using low-cost robots to (1) collect and perceive children status, (2) build a human-readable set of rules related to the child-robot relationship, and (3) improve the children experience during their stay in the hos- pital. Conducted preliminary experiments proof the feasibility of this proposal and encourage practitioners to work towards this direction.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshMachine learning
dc.subject.lcshCloud computing
dc.subject.lcshRobots
dc.subject.lcshRobotics in medicine
dc.titleA Cloud robotics architecture to foster individual child partnership in medical facilities
dc.typeConference report
dc.subject.lemacComputació en núvol
dc.subject.lemacRobots autònoms
dc.subject.lemacRobòtica en medicina
dc.contributor.groupUniversitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.roboearth.org/wp-content/uploads/2013/03/final-11.pdf
dc.rights.accessOpen Access
local.identifier.drac12888433
dc.description.versionPostprint (published version)
local.citation.authorNavarro, J.; Sancho-Asensio, A.; Garriga, C.; Albo-Canals, J.; Ortiz-Villajos Maroto, J.; Raya, C.; Angulo, C.; Miralles, D.
local.citation.contributorIROS Workshop on Cloud Robotics
local.citation.pubplaceTokyo
local.citation.publicationNameCloud Robotics Workshop in 26th IEEE/RSJ International Conference on Intelligent Robots and Systems


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain