| Data-driven grasp synthesis—a survey J Bohg, A Morales, T Asfour, D Kragic IEEE Transactions on robotics 30 (2), 289-309, 2013 | 997 | 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 | 777 | 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 | 487 | 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 | 463 | 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 | 371 | 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 | 369 | 2009 |
| Trends and challenges in robot manipulation A Billard, D Kragic Science 364 (6446), eaat8414, 2019 | 335 | 2019 |
| Survey on visual servoing for manipulation D Kragic, HI Christensen Computational Vision and Active Perception Laboratory, Fiskartorpsv 15, 2002, 2002 | 317 | 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 | 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 | 262 | 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 | 232 | 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 | 220 | 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 | 216 | 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 | 216 | 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 | 192 | 2014 |
| Grasp recognition for programming by demonstration S Ekvall, D Kragic Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005 | 176 | 2005 |
| Interactive grasp learning based on human demonstration S Ekvall, D Kragic Robotics and Automation, 2004. Proceedings. ICRA'04. 2004 IEEE International …, 2004 | 165 | 2004 |
| Learning grasping points with shape context J Bohg, D Kragic Robotics and Autonomous Systems 58 (4), 362-377, 2010 | 163 | 2010 |
| 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 | 160 | 2001 |
Mårten BjörkmanKTH Royal Institute of Technologycsc.kth.se의 이메일 확인됨
