| B-human team report and code release 2011 T Röfer, T Laue, J Müller, A Fabisch, F Feldpausch, K Gillmann, C Graf, ... Only available online: https://b-human.de/downloads/publications/2011 …, 2011 | 148* | 2011 |
| Active Contextual Policy Search A Fabisch, JH Metzen Journal of Machine Learning Research 15, 3371−3399, 2014 | 40 | 2014 |
| Robot recognition and modeling in the robocup standard platform league A Fabisch, T Laue, T Röfer Proceedings of the Fourth Workshop on Humanoid Soccer Robots in conjunction …, 2010 | 28 | 2010 |
| Towards Learning of Generic Skills for Robotic Manipulation JH Metzen, A Fabisch, L Senger, J de Gea Fernández, EA Kirchner KI - Künstliche Intelligenz 28 (1), 15-20, 2014 | 24 | 2014 |
| Bayesian optimization for contextual policy search JH Metzen, A Fabisch, J Hansen Proceedings of the Second Machine Learning in Planning and Control of Robot …, 2015 | 21 | 2015 |
| Learning in compressed space A Fabisch, Y Kassahun, H Wöhrle, F Kirchner Neural Networks 42, 83-93, 2013 | 18 | 2013 |
| B-Human team description for RoboCup 2011 T Röfer, T Laue, J Müller, A Fabisch, K Gillmann, C Graf, A Härtl, ... RoboCup 2011: Robot Soccer World Cup XV Preproceedings, 2011 | 17* | 2011 |
| A Survey of Behavior Learning Applications in Robotics--State of the Art and Perspectives A Fabisch, C Petzoldt, M Otto, F Kirchner arXiv preprint arXiv:1906.01868, 2019 | 15 | 2019 |
| The BesMan Learning Platform for Automated Robot Skill Learning L Gutzeit, A Fabisch, M Otto, JH Metzen, J Hansen, F Kirchner, ... Frontiers in Robotics and AI 5, 43, 2018 | 14 | 2018 |
| InFuse: A Comprehensive Framework for Data Fusion in Space Robotics S Govindaraj, J Gancet, M Post, R Dominguez, F Souvannavong Infinite Study, 2017 | 10 | 2017 |
| Online model identification for underwater vehicles through incremental support vector regression B Wehbe, A Fabisch, MM Krell 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 9 | 2017 |
| Accounting for task-difficulty in active multi-task robot control learning A Fabisch, JH Metzen, MM Krell, F Kirchner KI-Künstliche Intelligenz 29, 369-377, 2015 | 9 | 2015 |
| A common data fusion framework for space robotics: architecture and data fusion methods R Dominguez, S Govindaraj, J Gancet, M Post, R Michalec, N Oumer, ... International Symposium on Artificial Intelligence, Robotics and Automation …, 2018 | 8 | 2018 |
| gmr: Gaussian Mixture Regression A Fabisch Journal of Open Source Software 6 (62), 3054, 2021 | 7 | 2021 |
| A comparison of policy search in joint space and Cartesian space for refinement of skills A Fabisch Advances in Service and Industrial Robotics: Proceedings of the 28th …, 2020 | 7 | 2020 |
| Automated robot skill learning from demonstration for various robot systems L Gutzeit, A Fabisch, C Petzoldt, H Wiese, F Kirchner KI 2019: Advances in Artificial Intelligence: 42nd German Conference on AI …, 2019 | 7 | 2019 |
| Comparison of Distal Teacher Learning with Numerical and Analytical Methods to Solve Inverse Kinematics for Rigid-Body Mechanisms T von Oehsen, A Fabisch, S Kumar, F Kirchner arXiv preprint arXiv:2003.00225, 2020 | 6 | 2020 |
| pytransform3d: 3D Transformations for Python A Fabisch Journal of Open Source Software 4 (33), 1159, 2019 | 6 | 2019 |
| InFuse Data Fusion Methodology for Space Robotics, Awareness and Machine Learning M Post, R Michalec, A Bianco, X Yan, A De Maio, Q Labourey, S Lacroix, ... 69th International Astronautical Congress, 2018 | 5 | 2018 |
| Learning parameters of linear models in compressed parameter space Y Kassahun, H Wöhrle, A Fabisch, M Tabie Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012 | 4 | 2012 |
Jan Hendrik MetzenBosch Center for Artificial IntelligenceVerified email at de.bosch.com
