Danica Kragic

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Mårten BjörkmanAssociate Professor, KTH Royal Institute of TechnologyVerified email at kth.se
Henrik Iskov ChristensenDirector / Professor @ UCSDVerified email at eng.ucsd.edu
Hedvig Kjellström (Sidenbladh)Professor at KTH, Principal AI Scientist at Silo AI, Guest Professor at SLU, SwedenVerified email at kth.se
Florian T. PokornyAssociate Professor, KTH Royal Institute of TechnologyVerified email at kth.se
Javier RomeroReality Labs Research, MetaVerified email at tuebingen.mpg.de
Jeannette BohgAssistant Professor, Stanford UniversityVerified email at stanford.edu
Kaiyu HangRice UniversityVerified email at rice.edu
Yiannis KarayiannidisAssociate Professor, Automatic Control, LTH, Lund UniversityVerified email at kth.se
Yasemin BekiroğluChalmers University of Technology, University College London (UCL)Verified email at chalmers.se
Ville KyrkiAssociate Professor at Aalto UniversityVerified email at aalto.fi
Judith BütepageSenior Research Engineer, SEED @ EAVerified email at kth.se
Patric JensfeltKTH Royal Institute of TechnologyVerified email at kth.se
Tamim AsfourKarlsruhe Institute of Technology (KIT)Verified email at kit.edu
Renaud DetryKU LeuvenVerified email at kuleuven.be
Ken GoldbergProfessor, UC Berkeley and UCSFVerified email at berkeley.edu
Volker KruegerLund UniversityVerified email at cs.lth.se
Dimos DimarogonasKTH Royal Institute of TechnologyVerified email at kth.se
Aude BillardFull Professor, EPFLVerified email at epfl.ch
Aleš UdeJožef Stefan InstituteVerified email at ijs.si
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de

Danica Kragic

Professor of Computer Science, KTH - Royal Institute of Technology

Verified email at kth.se - Homepage

robotics robot vision robot learning


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Data-driven grasp synthesis—a survey J Bohg, A Morales, T Asfour, D Kragic IEEE Transactions on robotics 30 (2), 289-309, 2013	1032	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	809	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	500	2012
Combating COVID-19—The role of robotics in managing public health and infectious diseases GZ Yang, B J. Nelson, RR Murphy, H Choset, H Christensen, S H. Collins, ... Science Robotics 5 (40), eabb5589, 2020	486	2020
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	392	2017
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	378	2009
Trends and challenges in robot manipulation A Billard, D Kragic Science 364 (6446), eaat8414, 2019	375	2019
Survey on visual servoing for manipulation D Kragic, HI Christensen Computational Vision and Active Perception Laboratory, Fiskartorpsv 15, 2002, 2002	320	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	281	2011
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	270	2017
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	234	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	222	2007
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	220	2011
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	218	2005
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	196	2014
Grasp recognition for programming by demonstration S Ekvall, D Kragic Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005	176	2005
Learning grasping points with shape context J Bohg, D Kragic Robotics and Autonomous Systems 58 (4), 362-377, 2010	167	2010
Interactive grasp learning based on human demonstration S Ekvall, D Kragic Robotics and Automation, 2004. Proceedings. ICRA'04. 2004 IEEE International …, 2004	166	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	162	2006
Real-time tracking meets online grasp planning D Kragic, AT Miller, PK Allen Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International …, 2001	161	2001

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