Indoor Mobile Robotics at Grima, PUC

datacite.alternateIdentifier.citationJOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS,Vol.66,151-165,2012
datacite.alternateIdentifier.doi10.1007/s10846-011-9604-2
datacite.creatorCaro Saldivia, Luis
datacite.creatorCorrea, Javier
datacite.creatorEspinace, Pablo
datacite.creatorLangdon, Daniel
datacite.creatorMaturana, Daniel
datacite.creatorMitnik, Ruben
datacite.creatorMontabone, Sebastian
datacite.creatorPszczolkowski, Stefan
datacite.creatorAraneda, Anita
datacite.creatorMery, Domingo
datacite.creatorTorres, Miguel
datacite.creatorSoto, Alvaro
datacite.date2012
datacite.subject.englishMobile robots
datacite.subject.englishAutonomous navigation
datacite.subject.englishSocial robots
datacite.subject.englishScene understanding
datacite.titleIndoor Mobile Robotics at Grima, PUC
dc.date.accessioned2021-04-30T16:34:21Z
dc.date.available2021-04-30T16:34:21Z
dc.description.abstractThis paper describes the main activities and achievements of our research group on Machine Intelligence and Robotics (Grima) at the Computer Science Department, Pontificia Universidad Catolica de Chile (PUC). Since 2002, we have been developing an active research in the area of indoor autonomous social robots. Our main focus has been the cognitive side of Robotics, where we have developed algorithms for autonomous navigation using wheeled robots, scene recognition using vision and 3D range sensors, and social behaviors using Markov Decision Processes, among others. As a distinguishing feature, in our research we have followed a probabilistic approach, deeply rooted in machine learning and Bayesian statistical techniques. Among our main achievements are an increasing list of publications in main Robotics conference and journals, and the consolidation of a research group with more than 25 people among full-time professors, visiting researchers, and graduate students.
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/3067
dc.language.isoen
dc.publisherSPRINGER
dc.sourceJOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
oaire.resourceTypeArticle
uct.catalogadorWOS
uct.indizacionSCI
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