Alexander Fabisch
Alexander Fabisch
DFKI Robotics Innovation Center
Verified email at - Homepage
Cited by
Cited by
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:, 2011
Active Contextual Policy Search
A Fabisch, JH Metzen
Journal of Machine Learning Research 15, 3371−3399, 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
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
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
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
Learning in compressed space
A Fabisch, Y Kassahun, H Wöhrle, F Kirchner
Neural Networks 42, 83-93, 2013
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
A Comparison of Policy Search in Joint Space and Cartesian Space for Refinement of Skills
A Fabisch
International Conference on Robotics in Alpe-Adria Danube Region, 301-309, 2019
Accounting for Task-Difficulty in Active Multi-Task Robot Control Learning
A Fabisch, JH Metzen, MM Krell, F Kirchner
KI-Künstliche Intelligenz 29 (4), 369-377, 2015
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
InFuse: A Comprehensive Framework for Data Fusion in Space Robotics
S Govindaraj, J Gancet, M Post, R Dominguez, F Souvannavong
Infinite Study, 2017
Learning parameters of linear models in compressed parameter space
Y Kassahun, H Wöhrle, A Fabisch, M Tabie
International Conference on Artificial Neural Networks, 108-115, 2012
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
Automated Robot Skill Learning from Demonstration for Various Robot Systems
L Gutzeit, A Fabisch, C Petzoldt, H Wiese, F Kirchner
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2019
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
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
pytransform3d: 3D Transformations for Python
A Fabisch
Journal of Open Source Software 4 (33), 1159, 2019
Empirical Evaluation of Contextual Policy Search with a Comparison-based Surrogate Model and Active Covariance Matrix Adaptation
A Fabisch
Genetic and Evolutionary Computation Conference (GECCO '19), 251-252, 2019
BOLeRo: Behavior optimization and learning for robots
A Fabisch, M Langosz, F Kirchner
International Journal of Advanced Robotic Systems 17 (3), 1729881420913741, 2020
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