Indoor Mobile Robotics at Grima, PUC

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dc.contributor.authorCaro Saldivia, Luis
dc.contributor.authorCorrea, Javier
dc.contributor.authorEspinace, Pablo
dc.contributor.authorLangdon, Daniel
dc.contributor.authorMaturana, Daniel
dc.contributor.authorMitnik, Ruben
dc.contributor.authorMontabone, Sebastian
dc.contributor.authorPszczolkowski, Stefan
dc.contributor.authorAraneda, Anita
dc.contributor.authorMery, Domingo
dc.contributor.authorTorres, Miguel
dc.contributor.authorSoto, Alvaro
dc.date2012
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.citationJOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS,Vol.66,151-165,2012
dc.identifier.doi10.1007/s10846-011-9604-2
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/3067
dc.language.isoen
dc.publisherSPRINGER
dc.sourceJOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
dc.subject.englishMobile robots
dc.subject.englishAutonomous navigation
dc.subject.englishSocial robots
dc.subject.englishScene understanding
dc.titleIndoor Mobile Robotics at Grima, PUC
dc.typeArticle
uct.catalogadorWOS
uct.indizacionSCI
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