Danica Kragic

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Mårten BjörkmanKTH Royal Institute of TechnologyEmail confirmado em csc.kth.se
Henrik Iskov ChristensenDirector / Professor @ UCSDEmail confirmado em eng.ucsd.edu
Hedvig Kjellström (Sidenbladh)Professor at KTH Royal Institute of Technology, Principal AI Scientist at Silo AI, SwedenEmail confirmado em kth.se
Florian T. PokornyAssociate Professor, KTH Royal Institute of TechnologyEmail confirmado em kth.se
Javier RomeroReality Labs Research, MetaEmail confirmado em tuebingen.mpg.de
Jeannette BohgAssistant Professor, Stanford UniversityEmail confirmado em stanford.edu
Kaiyu HangRice UniversityEmail confirmado em rice.edu
Yiannis KarayiannidisAssociate Professor, Automatic Control, LTH, Lund UniversityEmail confirmado em kth.se
Yasemin BekiroğluChalmers University of Technology, University College London (UCL)Email confirmado em chalmers.se
Ville KyrkiAssociate Professor at Aalto UniversityEmail confirmado em aalto.fi
Judith BütepageSenior Research Engineer, SEED @ EAEmail confirmado em kth.se
Patric JensfeltKTH Royal Institute of TechnologyEmail confirmado em kth.se
Tamim AsfourKarlsruhe Institute of Technology (KIT)Email confirmado em kit.edu
Renaud DetryKU LeuvenEmail confirmado em kuleuven.be
Volker KruegerLund UniversityEmail confirmado em cs.lth.se
Ken GoldbergProfessor, UC Berkeley and UCSFEmail confirmado em berkeley.edu
Dimos DimarogonasKTH Royal Institute of TechnologyEmail confirmado em kth.se
Aude BillardFull Professor, EPFLEmail confirmado em epfl.ch
Aleš UdeJožef Stefan InstituteEmail confirmado em ijs.si
Michael J. BlackMax Planck Institute for Intelligent SystemsEmail confirmado em tuebingen.mpg.de

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Danica Kragic

Professor of Computer Science, KTH - Royal Institute of Technology

Email confirmado em kth.se - Página inicial

robotics robot vision robot learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Data-driven grasp synthesis—a survey J Bohg, A Morales, T Asfour, D Kragic IEEE Transactions on robotics 30 (2), 289-309, 2013	973	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	757	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	477	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	454	2020
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	365	2009
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	362	2017
Survey on visual servoing for manipulation D Kragic, HI Christensen Computational Vision and Active Perception Laboratory, Fiskartorpsv 15, 2002, 2002	314	2002
Trends and challenges in robot manipulation A Billard, D Kragic Science 364 (6446), eaat8414, 2019	313	2019
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	276	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	245	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	230	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	218	2007
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	215	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	213	2011
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	191	2014
Grasp recognition for programming by demonstration S Ekvall, D Kragic Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005	174	2005
Interactive grasp learning based on human demonstration S Ekvall, D Kragic Robotics and Automation, 2004. Proceedings. ICRA'04. 2004 IEEE International …, 2004	163	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
Learning grasping points with shape context J Bohg, D Kragic Robotics and Autonomous Systems 58 (4), 362-377, 2010	161	2010
Real-time tracking meets online grasp planning D Kragic, AT Miller, PK Allen Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International …, 2001	157	2001

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