Oscar Martinez Mozos

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Wolfram BurgardProfessor of Computer Science, Technical University of NurembergVerified email at utn.de
Ryo KurazumeProfessor of Computer Science, Kyushu UniversityVerified email at ait.kyushu-u.ac.jp
Patric JensfeltKTH Royal Institute of TechnologyVerified email at kth.se
Cyrill StachnissProfessor for Photogrammetry & Robotics, University of BonnVerified email at igg.uni-bonn.de
tsutomu hasegawaPresident, Kumamoto National College of TechnologyVerified email at ait.kyushu-u.ac.jp
Arturo Gil AparicioUniversidad Miguel Hernández de Elche (UMH)Verified email at goumh.umh.es
Oscar Reinoso GarciaProfesor de Ingeniería de Sistemas y Automática, Universidad Miguel Hernández de ElcheVerified email at umh.es
Kai O. ArrasHead of Robotics Research, Bosch Corporate ResearchVerified email at cs.uni-freiburg.de
Rudolph TriebelDLR and Technical University MunichVerified email at in.tum.de
Geert-Jan KruijffAmazon MusicVerified email at amazon.com
Mónica Ballestauniversidad miguel hernández de elcheVerified email at goumh.umh.es
Barbara CaputoDAUIN, Politecnico di TorinoVerified email at polito.it
Ramon BarberUniversidad Carlos III de MadridVerified email at ing.uc3m.es
Hojung JungWoven Planet HoldingsVerified email at woven-planet.global
Andrzej PronobisResearch Associate at University of Washington, SeattleVerified email at cs.washington.edu
Yumi IwashitaNASA Jet Propulsion LaboratoryVerified email at jpl.nasa.gov
Jose M. FerrandezUniversidad Politécnica de CartagenaVerified email at upct.es
David A EllisProfessor of Behavioural Science, University of BathVerified email at bath.ac.uk
Virginia SandulescuNational Institute for Research and Development in InformaticsVerified email at ici.ro
Nicola BellottoUniversity of PaduaVerified email at unipd.it

Oscar Martinez Mozos

WASP-AI Associate Professor, Örebro University, Sweden

Verified email at oru.se - Homepage

Robotics Artificial Intelligence Health Technologies


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Using boosted features for the detection of people in 2d range data KO Arras, OM Mozos, W Burgard Robotics and Automation, 2007 IEEE International Conference on, 3402-3407, 2007	517	2007
Conceptual spatial representations for indoor mobile robots H Zender, O Martínez Mozos, P Jensfelt, GJM Kruijff, W Burgard Robotics and Autonomous Systems 56 (6), 493-502, 2008	401	2008
Supervised learning of places from range data using adaboost OM Mozos, C Stachniss, W Burgard Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE …, 2005	304	2005
Supervised semantic labeling of places using information extracted from sensor data O Martinez Mozos, R Triebel, P Jensfelt, A Rottmann, W Burgard Robotics and Autonomous Systems 55 (5), 391-402, 2007	250	2007
A comparative evaluation of interest point detectors and local descriptors for visual SLAM A Gil, OM Mozos, M Ballesta, O Reinoso Machine Vision and Applications 21 (6), 905-920, 2010	248	2010
Multi-modal semantic place classification A Pronobis, OM Mozos, B Caputo, P Jensfelt The International Journal of Robotics Research 29 (2-3), 298-320, 2010	247	2010
Semantic place classification of indoor environments with mobile robots using boosting A Rottmann, OM Mozos, C Stachniss, W Burgard Proceedings of the National Conference on Artificial Intelligence 20 (3), 1306, 2005	164	2005
Stress detection using wearable physiological and sociometric sensors OM Mozos, V Sandulescu, S Andrews, D Ellis, N Bellotto, R Dobrescu, ... International journal of neural systems 27 (02), 1650041, 2017	149	2017
Multi-part people detection using 2d range data OM Mozos, R Kurazume, T Hasegawa International Journal of Social Robotics 2 (1), 31-40, 2010	127*	2010
Stress detection using wearable physiological sensors V Sandulescu, S Andrews, D Ellis, N Bellotto, OM Mozos Artificial Computation in Biology and Medicine, Lecture Notes in Computer …, 2015	109	2015
From labels to semantics: An integrated system for conceptual spatial representations of indoor environments for mobile robots OM Mozos, P Jensfelt, H Zender, GJM Kruijff, W Burgard IEEE Int. Conf. on Robotics and Automation (ICRA) Workshop on Semantic …, 2007	93	2007
Improving data association in vision-based SLAM A Gil, O Reinoso, OM Mozos, C Stachnissi, W Burgard Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on …, 2006	87	2006
Supervised learning of topological maps using semantic information extracted from range data OM Mozos, W Burgard Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on …, 2006	86	2006
Speeding-up multi-robot exploration by considering semantic place information C Stachniss, OM Mozos, W Burgard Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE …, 2006	84	2006
SVM-based discriminative accumulation scheme for place recognition A Pronobis, O Martínez Mozos, B Caputo Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on …, 2008	82	2008
Using adaboost for place labeling and topological map building ÓM Mozos, C Stachniss, A Rottmann, W Burgard Robotics Research, 453-472, 2007	81*	2007
Efficient exploration of unknown indoor environments using a team of mobile robots C Stachniss, Ó Martínez Mozos, W Burgard Annals of Mathematics and Artificial Intelligence 52 (2), 205-227, 2008	79	2008
Instance-based AMN classification for improved object recognition in 2D and 3D laser range data R Triebel, R Schmidt, ÓM Mozos, W Burgard Proceedings of the 20th international joint conference on Artifical …, 2007	78	2007
Categorization of indoor places using the kinect sensor OM Mozos, H Mizutani, R Kurazume, T Hasegawa Sensors 12 (5), 6695-6711, 2012	74	2012
Long-term topological localisation for service robots in dynamic environments using spectral maps T Krajník, JP Fentanes, OM Mozos, T Duckett, J Ekekrantz, M Hanheide 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	73	2014

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