Barry Ridge

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Aleš UdeJožef Stefan InstituteDirección de correo verificada de ijs.si
Danijel SkocajProfessor, University of LjubljanaDirección de correo verificada de fri.uni-lj.si
Ales LeonardisProfessor of Computer ScienceDirección de correo verificada de cs.bham.ac.uk
Timotej GašparResearcher, "Jožef Stefan" InstituteDirección de correo verificada de ijs.si
Jun MorimotoKyoto University & ATR Computational Neuroscience LabsDirección de correo verificada de atr.jp
Robert BevecAirnamics d.o.o.Dirección de correo verificada de airnamics.com
Emre UgurBogazici UniversityDirección de correo verificada de boun.edu.tr
Thiusius Rajeeth SavarimuthuProfessor of Computer Science, University of Southern DenmarkDirección de correo verificada de mmmi.sdu.dk
Nick HawesOxford Robotics Institute, University of OxfordDirección de correo verificada de robots.ox.ac.uk
Miha DenišaPostdoc, Jožef Stefan InstituteDirección de correo verificada de ijs.si
Norbert KruegerProfessor, University of Southern DenmarkDirección de correo verificada de mmmi.sdu.dk
Safoura Rezapour LakaniAI and Machine Learning Expert at SiemensDirección de correo verificada de siemens.com
Justus PiaterProfessor of Computer Science, University of Innsbruck, AustriaDirección de correo verificada de uibk.ac.at
Simon M. Haller-SeeberSystems EngineerDirección de correo verificada de uibk.ac.at
Matjaž JoganUniversity of Pennsylvania, University of LjubljanaDirección de correo verificada de upenn.edu
Ondřej VaněkResearcher, Czech Technical UniversityDirección de correo verificada de fel.cvut.cz
Tatyana IvanovskaProfessor at Ostbayerische Technische Hochschule Amberg-WeidenDirección de correo verificada de oth-aw.de
Juergen RossmannProfessor für Mensch-Maschine-Interaktion, RWTH Aachen UniversityDirección de correo verificada de mmi.rwth-aachen.de
Aljaz KrambergerMaersk Mc-Kinney Møller Institute, University of Southern DenmarkDirección de correo verificada de mmmi.sdu.dk
Ali-akbar Agha-mohammadiNASA-JPL, CaltechDirección de correo verificada de jpl.nasa.gov

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Barry Ridge

NASA Jet Propulsion Laboratory

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Robotics Computer Vision Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Computational models of affordance in robotics: a taxonomy and systematic classification P Zech, S Haller, SR Lakani, B Ridge, E Ugur, J Piater Adaptive Behavior 25 (5), 235-271, 2017	103	2017
Self-supervised cross-modal online learning of basic object affordances for developmental robotic systems B Ridge, D Skocaj, A Leonardis ICRA 2010, IEEE International Conference on Robotics and Automation, 3-7 May …, 2010	55	2010
Smart hardware integration with advanced robot programming technologies for efficient reconfiguration of robot workcells T Gašpar, M Deniša, P Radanovič, B Ridge, TR Savarimuthu, ... Robotics and Computer-Integrated Manufacturing 66, 101979, 2020	52	2020
Transfer of Assembly Operations to New Workpiece Poses by Adaptation to the Desired Force Profile B Nemec, F Abu-Dakka, JA Jørgensen, BTR Savarimuthu, B Ridge, ... ICAR 2013, 16th International Conference on Advanced Robotics, November 25th …, 2013	44	2013
Training of deep neural networks for the generation of dynamic movement primitives R Pahič, B Ridge, A Gams, J Morimoto, A Ude Neural Networks, 2020	40	2020
Rapid Hardware and Software Reconfiguration in a Robotic Workcell T Gašpar, B Ridge, R Bevec, M Bem, I Kovac, A Ude ICAR 2017, The 18th International Conference on Advanced Robotics, 10-12 …, 2017	39	2017
A system for continuous learning of visual concepts D Skocaj, G Berginc, B Ridge, A Štimec, M Jogan, O Vanek, A Leonardis, ... International conference on computer vision systems ICVS 2007, 2007	38	2007
A system for learning basic object affordances using a self-organizing map B Ridge, D Skocaj, A Leonardis CogSys 2008, First International Conference on Cognitive Systems, University …, 2008	21	2008
Unsupervised learning of basic object affordances from object properties B Ridge, D Skočaj, A Leonardis CVWW 2009, Proceedings of the 14th Computer Vision Winter Workshop, February …, 2009	20	2009
Self-supervised traversability prediction by learning to reconstruct safe terrain R Schmid, D Atha, F Schöller, S Dey, S Fakoorian, K Otsu, B Ridge, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	17	2022
Self-Supervised Online Learning of Basic Object Push Affordances B Ridge, A Leonardis, A Ude, M Deniša, D Skočaj International Journal of Advanced Robotic Systems 12 (24), 24-1-24-18, 2015	15	2015
Action-Grounded Push Affordance Bootstrapping of Unknown Objects B Ridge, A Ude IROS 2013, 2013/IEEE/RSJ International Conference on Inteligent Robots and …, 2013	14	2013
Machine vision based sample-tube localization for mars sample return S Daftry, B Ridge, W Seto, TH Pham, P Ilhardt, G Maggiolino, ... 2021 IEEE Aerospace Conference (50100), 1-12, 2021	10	2021
Cut & recombine: reuse of robot action components based on simple language instructions M Tamosiunaite, MJ Aein, JM Braun, T Kulvicius, I Markievicz, ... The International Journal of Robotics Research 38 (10-11), 1179-1207, 2019	9	2019
Rapid State Machine Assembly for Modular Robot Control using Meta-Scripting, Templating and Code Generation B Ridge, T Gašpar, A Ude HUMANOIDS 2017, IEEE-RAS 17th International Conference on Humanoid Robots …, 2017	9	2017
Comparison of Action-Grounded and Non-Action-Grounded 3-D Shape Features for Object Affordance Classification B Ridge, E Ugur, A Ude ICAR 2015, The 17th International Conference on Advanced Robotics, 27-31 …, 2015	8	2015
Simulation-aided handover prediction from video using recurrent image-to-motion networks M Mavsar, B Ridge, J Morimoto, A Ude IEEE Transactions on Neural Networks and Learning Systems 35 (1), 494 - 506, 2024	6	2024
Rover relocalization for mars sample return by virtual template synthesis and matching TH Pham, W Seto, S Daftry, B Ridge, J Hansen, T Thrush, ... IEEE Robotics and Automation Letters 6 (2), 4009-4016, 2021	5	2021
Towards learning basic object affordances from object properties B Ridge, D Skocaj, A Leonardis EpiRob 2008, Modeling cognitive development in robotic systems: Proceedings …, 2008	5	2008
On different modes of continuous learning of visual properties D Skocaj, B Ridge, A Leonardis ERK 2006, The Fifteenth Electrotechnical and Computer Science Conference, 25 …, 2006	5	2006

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