Danica Kragic

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Henrik Iskov ChristensenDirector / Professor @ UCSDDirección de correo verificada de eng.ucsd.edu
Mårten BjörkmanKTH Royal Institute of TechnologyDirección de correo verificada de csc.kth.se
Carl Henrik EkUniversity of CambridgeDirección de correo verificada de cam.ac.uk
Hedvig Kjellström (Sidenbladh)Professor at KTH Royal Institute of Technology, Lead AI Scientist at Silo AI, SwedenDirección de correo verificada de kth.se
Florian T. PokornyAssociate Professor, KTH Royal Institute of TechnologyDirección de correo verificada de kth.se
Javier RomeroPrincipal Scientist, AmazonDirección de correo verificada de amazon.com
Yasemin BekiroğluChalmers University of Technology, University College London (UCL)Dirección de correo verificada de chalmers.se
Jeannette BohgAssistant Professor, Stanford UniversityDirección de correo verificada de stanford.edu
Yiannis KarayiannidisAssociate Professor/Research, SysCon/E2, Chalmers and Senior Researcher, RPL/CSC, KTHDirección de correo verificada de kth.se
Christian SmithAssociate Professor, Division of Robotics, Perception, and Learning, KTHDirección de correo verificada de kth.se
Ville KyrkiAssociate Professor at Aalto UniversityDirección de correo verificada de aalto.fi
Kaiyu HangYale UniversityDirección de correo verificada de yale.edu
Patric JensfeltKTH Royal Institute of TechnologyDirección de correo verificada de kth.se
Judith BütepageResearch Scientist, SpotifyDirección de correo verificada de kth.se
Renaud DetryNASA Jet Propulsion LaboratoryDirección de correo verificada de jpl.nasa.gov
Volker KruegerLund UniversityDirección de correo verificada de cs.lth.se
Gert KootstraWageningen University & ResearchDirección de correo verificada de wur.nl
Niklas BergströmUniversity of TokyoDirección de correo verificada de ipc.i.u-tokyo.ac.jp
Tamim AsfourKarlsruhe Institute of Technology (KIT)Dirección de correo verificada de kit.edu
Thomas Feixadidas FUTURE teamDirección de correo verificada de adidas.com

Danica Kragic

Professor of Computer Science, KTH - Royal Institute of Technology

Dirección de correo verificada de kth.se - Página principal

robotics robot vision robot learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Data-driven grasp synthesis—a survey J Bohg, A Morales, T Asfour, D Kragic IEEE Transactions on Robotics 30 (2), 289-309, 2013	635	2013
The grasp taxonomy of human grasp types T Feix, J Romero, HB Schmiedmayer, AM Dollar, D Kragic IEEE Transactions on human-machine systems 46 (1), 66-77, 2015	386	2015
Dual arm manipulation—A survey C Smith, Y Karayiannidis, L Nalpantidis, X Gratal, P Qi, DV Dimarogonas, ... Robotics and Autonomous systems 60 (10), 1340-1353, 2012	373	2012
A comprehensive grasp taxonomy T Feix, R Pawlik, HB Schmiedmayer, J Romero, D Kragic Robotics, science and systems: workshop on understanding the human hand for …, 2009	306	2009
Survey on visual servoing for manipulation D Kragic, HI Christensen Computational Vision and Active Perception Laboratory, Fiskartorpsv 15, 2002, 2002	269	2002
Visual object-action recognition: Inferring object affordances from human demonstration H Kjellström, J Romero, D Kragić Computer Vision and Image Understanding 115 (1), 81-90, 2011	240	2011
Minimum volume bounding box decomposition for shape approximation in robot grasping K Huebner, S Ruthotto, D Kragic 2008 IEEE International Conference on Robotics and Automation, 1628-1633, 2008	204	2008
The meaning of action: A review on action recognition and mapping V Krüger, D Kragic, A Ude, C Geib Advanced robotics 21 (13), 1473-1501, 2007	199	2007
Deep representation learning for human motion prediction and classification J Butepage, MJ Black, D Kragic, H Kjellstrom Proceedings of the IEEE conference on computer vision and pattern …, 2017	191	2017
Human-machine collaborative systems for microsurgical applications D Kragic, P Marayong, M Li, AM Okamura, GD Hager The International Journal of Robotics Research 24 (9), 731-741, 2005	189	2005
Assessing grasp stability based on learning and haptic data Y Bekiroglu, J Laaksonen, JA Jorgensen, V Kyrki, D Kragic IEEE Transactions on Robotics 27 (3), 616-629, 2011	179	2011
Grasp recognition for programming by demonstration S Ekvall, D Kragic Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005	167	2005
Real-time tracking meets online grasp planning D Kragic, AT Miller, PK Allen Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International …, 2001	150	2001
Interactive grasp learning based on human demonstration S Ekvall, D Kragic Robotics and Automation, 2004. Proceedings. ICRA'04. 2004 IEEE International …, 2004	149	2004
A framework for vision based bearing only 3D SLAM P Jensfelt, D Kragic, J Folkesson, M Bjorkman Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006	147	2006
Learning grasping points with shape context J Bohg, D Kragic Robotics and Autonomous Systems 58 (4), 362-377, 2010	140	2010
Design of a flexible tactile sensor for classification of rigid and deformable objects A Drimus, G Kootstra, A Bilberg, D Kragic Robotics and Autonomous Systems 62 (1), 3-15, 2014	134	2014
Interactive perception: Leveraging action in perception and perception in action J Bohg, K Hausman, B Sankaran, O Brock, D Kragic, S Schaal, ... IEEE Transactions on Robotics 33 (6), 1273-1291, 2017	132	2017
Selection of robot pre-grasps using box-based shape approximation K Huebner, D Kragic 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008	132	2008
Adaptive virtual fixtures for machine-assisted teleoperation tasks D Aarno, S Ekvall, D Kragic Proceedings of the 2005 IEEE international conference on robotics and …, 2005	127	2005

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