Danica Kragic

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Mårten BjörkmanKTH Royal Institute of TechnologyDirección de correo verificada de kth.se
Henrik Iskov ChristensenDirector / Professor @ UCSDDirección de correo verificada de eng.ucsd.edu
Hedvig Kjellström (Sidenbladh)Professor at KTH Royal Institute of Technology, SwedenDirección de correo verificada de kth.se
Florian T. PokornyAssociate Professor, KTH Royal Institute of TechnologyDirección de correo verificada de kth.se
Javier RomeroReality Labs Research, MetaDirección de correo verificada de tuebingen.mpg.de
Jeannette BohgAssistant Professor, Stanford UniversityDirección de correo verificada de stanford.edu
Kaiyu HangRice UniversityDirección de correo verificada de rice.edu
Yiannis KarayiannidisAssociate Professor, Automatic Control, LTH, Lund UniversityDirección de correo verificada de kth.se
Yasemin BekiroğluChalmers University of Technology, University College London (UCL)Dirección de correo verificada de chalmers.se
Ville KyrkiProfessor at Aalto UniversityDirección de correo verificada de aalto.fi
Judith BütepageSenior Research Engineer, SEED @ EADirección de correo verificada de kth.se
Patric JensfeltKTH Royal Institute of TechnologyDirección de correo verificada de kth.se
Tamim AsfourKarlsruhe Institute of Technology (KIT)Dirección de correo verificada de kit.edu
Renaud DetryKU LeuvenDirección de correo verificada de kuleuven.be
Ken GoldbergProfessor, UC Berkeley and UCSFDirección de correo verificada de berkeley.edu
Volker KruegerLund UniversityDirección de correo verificada de cs.lth.se
Aude BillardFull Professor, EPFLDirección de correo verificada de epfl.ch
Dimos DimarogonasKTH Royal Institute of TechnologyDirección de correo verificada de kth.se
Aleš UdeJožef Stefan InstituteDirección de correo verificada de ijs.si
Michael J. BlackMax Planck Institute for Intelligent SystemsDirección de correo verificada de tuebingen.mpg.de

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Danica Kragic

Professor of Computer Science, KTH - Royal Institute of Technology

Dirección de correo verificada de kth.se - Página principal

robotics AI 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	1162	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	966	2015
Trends and challenges in robot manipulation A Billard, D Kragic Science 364 (6446), eaat8414, 2019	597	2019
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	564	2020
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	558	2012
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	475	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	397	2009
Survey on visual servoing for manipulation D Kragic, HI Christensen Computational Vision and Active Perception Laboratory, Fiskartorpsv 15, 2002, 2002	346	2002
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	309	2017
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	297	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	240	2008
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	234	2014
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	234	2011
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	232	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	227	2005
Modeling, learning, perception, and control methods for deformable object manipulation H Yin, A Varava, D Kragic Science Robotics 6 (54), eabd8803, 2021	184	2021
Grasp recognition for programming by demonstration S Ekvall, D Kragic Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005	183	2005
Learning grasping points with shape context J Bohg, D Kragic Robotics and Autonomous Systems 58 (4), 362-377, 2010	173	2010
Interactive grasp learning based on human demonstration S Ekvall, D Kragic Robotics and Automation, 2004. Proceedings. ICRA'04. 2004 IEEE International …, 2004	172	2004
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	164	2005

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