| Bop: Benchmark for 6d object pose estimation T Hodan, F Michel, E Brachmann, W Kehl, A GlentBuch, D Kraft, B Drost, ... Proceedings of the European conference on computer vision (ECCV), 19-34, 2018 | 241 | 2018 |
| Object–Action Complexes: Grounded abstractions of sensory–motor processes N Krüger, C Geib, J Piater, R Petrick, M Steedman, F Wörgötter, A Ude, ... Robotics and Autonomous Systems 59 (10), 740-757, 2011 | 233* | 2011 |
| Learning grasp affordance densities R Detry, D Kraft, O Kroemer, L Bodenhagen, J Peters, N Krüger, J Piater Paladyn 2 (1), 1-17, 2011 | 204 | 2011 |
| A strategy for grasping unknown objects based on co-planarity and colour information M Popović, D Kraft, L Bodenhagen, E Başeski, N Pugeault, D Kragic, ... Robotics and Autonomous Systems 58 (5), 551-565, 2010 | 114 | 2010 |
| Birth of the object: detection of objectness and extraction of object shape through object–action complexes D Kraft, N Pugeault, E BAŞESKI, M POPOVIĆ, D KRAGIĆ, S Kalkan, ... International Journal of Humanoid Robotics 5 (02), 247-265, 2008 | 104 | 2008 |
| Pose estimation using local structure-specific shape and appearance context AG Buch, D Kraft, JK Kamarainen, HG Petersen, N Krüger 2013 IEEE International Conference on Robotics and Automation, 2080-2087, 2013 | 101 | 2013 |
| A Survey of the Ontogeny of Tool Use: from Sensorimotor Experience to Planning F Guerin, N Krüger, D Kraft IEEE Transactions on Autonomous Mental Development 5 (1), 18-45, 2013 | 76 | 2013 |
| Rotational subgroup voting and pose clustering for robust 3d object recognition AG Buch, L Kiforenko, D Kraft 2017 IEEE International Conference on Computer Vision (ICCV), 4137-4145, 2017 | 59 | 2017 |
| Early reactive grasping with second order 3D feature relations D Aarno, J Sommerfeld, D Kragic, N Pugeault, S Kalkan, F Wörgötter, ... Recent Progress in Robotics: Viable Robotic Service to Human, 91-105, 2007 | 50 | 2007 |
| Refining grasp affordance models by experience R Detry, D Kraft, AG Buch, N Krüger, J Piater 2010 IEEE International Conference on Robotics and Automation, 2287-2293, 2010 | 47 | 2010 |
| Learning visual representations for perception-action systems J Piater, S Jodogne, R Detry, D Kraft, N Krüger, O Kroemer, J Peters The International Journal of Robotics Research 30 (3), 294-307, 2011 | 45 | 2011 |
| Development of object and grasping knowledge by robot exploration D Kraft, R Detry, N Pugeault, E Başeski, F Guerin, JH Piater, N Krüger IEEE Transactions on Autonomous Mental Development 2 (4), 368-383, 2010 | 44 | 2010 |
| Real-time extraction of surface patches with associated uncertainties by means of Kinect cameras SM Olesen, S Lyder, D Kraft, N Krüger, JB Jessen Journal of Real-Time Image Processing 10 (1), 105-118, 2015 | 34 | 2015 |
| Exploration and planning in a three-level cognitive architecture D Kraft, E Baseski, M Popovic, AM Batog, A Kjær-Nielsen, N Krüger, ... Proceedings of the International Conference on Cognitive Systems (CogSys …, 2008 | 30 | 2008 |
| Structural bootstrapping-A novel, generative mechanism for the faster and more efficient acquisition of action-knowledge F Worgotter, C Geib, M Tamosiunaite, E Aksoy, J Piater, H Xiong, A Ude, ... IEEE Transactions on Autonomous Mental Development (TAMD) 7 (2), 140-154, 2015 | 29 | 2015 |
| Learning objects and grasp affordances through autonomous exploration D Kraft, R Detry, N Pugeault, E Başeski, J Piater, N Krüger International Conference on Computer Vision Systems, 235-244, 2009 | 29 | 2009 |
| Representation and integration: Combining robot control, high-level planning, and action learning R Petrick, D Kraft, K Mourao, N Pugeault, N Krüger, M Steedman Proceedings of the 6th international cognitive robotics workshop, 32-41, 2008 | 29 | 2008 |
| Technologies for the fast set-up of automated assembly processes N Krüger, A Ude, HG Petersen, B Nemec, LP Ellekilde, TR Savarimuthu, ... KI-Künstliche Intelligenz 28 (4), 305-313, 2014 | 24 | 2014 |
| Prediction of ICP pose uncertainties using Monte Carlo simulation with synthetic depth images AG Buch, D Kraft 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 20 | 2017 |
| Local Point Pair Feature Histogram for Accurate 3D Matching. AG Buch, D Kraft, S Robotics, D Odense BMVC, 143, 2018 | 19 | 2018 |
Norbert KruegerProfessor, University of Southern Denmark在 mmmi.sdu.dk 的电子邮件经过验证
