| The freiburg groceries dataset P Jund, N Abdo, A Eitel, W Burgard arXiv preprint arXiv:1611.05799, 2016 | 94 | 2016 |
| Robot, Organize my Shelves! Tidying up Objects by Predicting User Preferences N Abdo, C Stachniss, L Spinello, W Burgard Robotics and Automation (ICRA), 2015 IEEE International Conference on, 2015 | 85 | 2015 |
| Learning manipulation actions from a few demonstrations N Abdo, H Kretzschmar, L Spinello, C Stachniss 2013 IEEE International Conference on Robotics and Automation, 1268-1275, 2013 | 77 | 2013 |
| Efficient motion planning for manipulation robots in environments with deformable objects B Frank, C Stachniss, N Abdo, W Burgard 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 55 | 2011 |
| Scalable scene flow from point clouds in the real world P Jund, C Sweeney, N Abdo, Z Chen, J Shlens IEEE Robotics and Automation Letters 7 (2), 1589-1596, 2021 | 48 | 2021 |
| Using gaussian process regression for efficient motion planning in environments with deformable objects B Frank, C Stachniss, N Abdo, W Burgard Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011 | 33 | 2011 |
| Metric learning for generalizing spatial relations to new objects O Mees, N Abdo, M Mazuran, W Burgard IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017 | 31 | 2017 |
| Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning P Jund, A Eitel, N Abdo, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 2018 | 22 | 2018 |
| Organizing objects by predicting user preferences through collaborative filtering N Abdo, C Stachniss, L Spinello, W Burgard The International Journal of Robotics Research 35 (13), 1587-1608, 2016 | 21* | 2016 |
| From low-level trajectory demonstrations to symbolic actions for planning N Abdo, H Kretzschmar, C Stachniss ICAPS Workshop on Combining Task and Motion Planning for Real-World App, 29-36, 2012 | 21 | 2012 |
| Combined task and action learning from human demonstrations for mobile manipulation applications T Welschehold, N Abdo, C Dornhege, W Burgard 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 17 | 2019 |
| Multi-stage object heading estimation D Lee, X Jin, C Li, N Abdo US Patent 11,782,158, 2023 | 9 | 2023 |
| Towards deliberative active perception using persistent memory T Niemueller, N Abdo, A Hertle, G Lakemeyer, W Burgard, B Nebel Proc. IROS 2013 Workshop on AI-based Robotics, 2013 | 9 | 2013 |
| Inferring what to imitate in manipulation actions by using a recommender system N Abdo, L Spinello, W Burgard, C Stachniss 2014 IEEE International Conference on Robotics and Automation (ICRA), 1203-1208, 2014 | 8 | 2014 |
| The Freiburg groceries dataset, 2016 P Jund, N Abdo, A Eitel, W Burgard arXiv preprint arXiv:1611.05799, 1-7, 2016 | 6 | 2016 |
| 3D camera calibration N Abdo, A Borgeat Freiburg, Germany: Albert-Ludwigs-University Freiburg, 2010 | 6 | 2010 |
| Identification of spurious radar detections in autonomous vehicle applications X Chen, N Abdo, YU Ruichi, C Gao US Patent App. 17/445,129, 2023 | 2 | 2023 |
| Towards learning task intentions from human demonstrations T Welschehold, N Abdo, C Dornhege, W Burgard Workshop on Learning for Collaborative Robotics at the Int. Conf. on …, 2017 | 2 | 2017 |
| Learning to solve manipulation tasks from non-expert users in human-centered environments N Abdo University of Freiburg, 2017 | 2 | 2017 |
| Sensor fusion in the epistemic situation calculus C Schwering, T Niemueller, G Lakemeyer, N Abdo, W Burgard Journal of Experimental & Theoretical Artificial Intelligence 28 (5), 871-887, 2016 | 2 | 2016 |
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergVerified email at utn.de
