Indoor Mobile Robotics at Grima, PUC. L. Caro, J. C., P. Espinace, D. M., R. Mitnik, S. M., S. Pszszfolkowski, D. L., A. Araneda, D. M., & M. Torres, A. S. Journal of Intelligent and Robotic Systems, 66(1-2):151-165, 2012. Paper abstract bibtex This paper describes the main activities and achievements of our research group on Ma- chine Intelligence and Robotics (Grima) at the Computer Science Department, Pontificia Uni- versidad 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 sen- sors, and social behaviors using Markov Deci- sion Processes, among others. As a distinguish- ing feature, in our research we have followed a probabilistic approach, deeply rooted in ma- chine 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.
@Article{ caro:etal:2012,
author = {L. Caro, J. Correa, P. Espinace, D. Maturana, R. Mitnik,
S. Montabone, S. Pszszfolkowski, D. Langdon, A. Araneda, D.
Mery, M. Torres, A. Soto},
title = {Indoor Mobile Robotics at Grima, PUC},
journal = {Journal of Intelligent and Robotic Systems},
volume = {66},
pages = {151-165},
number = {1-2},
year = {2012},
abstract = {This paper describes the main activities and achievements
of our research group on Ma- chine Intelligence and
Robotics (Grima) at the Computer Science Department,
Pontificia Uni- versidad 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
sen- sors, and social behaviors using Markov Deci- sion
Processes, among others. As a distinguish- ing feature, in
our research we have followed a probabilistic approach,
deeply rooted in ma- chine 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. },
url = {http://saturno.ing.puc.cl/media/papers_alvaro/Latam-2012.pdf}
}
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