| Data-efficient generalization of robot skills with contextual policy search AG Kupcsik, MP Deisenroth, J Peters, G Neumann Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013 | 117 | 2013 |
| Model-based contextual policy search for data-efficient generalization of robot skills A Kupcsik, MP Deisenroth, J Peters, AP Loh, P Vadakkepat, G Neumann Artificial Intelligence 247, 415-439, 2017 | 78 | 2017 |
| Learning dynamic robot-to-human object handover from human feedback A Kupcsik, D Hsu, WS Lee Robotics research, 161-176, 2018 | 42 | 2018 |
| Dexterous underwater manipulation from onshore locations: Streamlining efficiencies for remotely operated underwater vehicles A Birk, T Doernbach, C Mueller, T Łuczynski, AG Chavez, D Koehntopp, ... IEEE Robotics & Automation Magazine 25 (4), 24-33, 2018 | 32 | 2018 |
| Data-efficient contextual policy search for robot movement skills A Kupcsik, MP Deisenroth, J Peters, G Neumann Proceedings of the National Conference on Artificial Intelligence (AAAI), 2013 | 26 | 2013 |
| Learning modular policies for robotics G Neumann, C Daniel, A Paraschos, A Kupcsik, J Peters Frontiers in computational neuroscience 8, 62, 2014 | 23 | 2014 |
| Information-theoretic motor skill learning G Neumann, C Daniel, A Kupcsik, M Deisenroth, J Peters Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013 | 11 | 2013 |
| The kernel Kalman rule—Efficient nonparametric inference with recursive least squares GHW Gebhardt, A Kupcsik, G Neumann Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 10 | 2017 |
| The kernel Kalman rule GHW Gebhardt, A Kupcsik, G Neumann Machine Learning 108 (12), 2113-2157, 2019 | 5 | 2019 |
| Learning and sequencing of object-centric manipulation skills for industrial tasks L Rozo, M Guo, AG Kupcsik, M Todescato, P Schillinger, M Giftthaler, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 4 | 2020 |
| Factored contextual policy search with Bayesian optimization P Karkus, A Kupcsik, D Hsu, WS Lee arXiv preprint arXiv:1612.01746, 2016 | 4 | 2016 |
| Synthetical benchmarking of service robots: a first effort on domestic mobile platforms M Cheng, X Chen, K Tang, F Wu, A Kupcsik, L Iocchi, Y Chen, D Hsu Robot Soccer World Cup, 377-388, 2015 | 4 | 2015 |
| Factored contextual policy search with bayesian optimization R Pinsler, P Karkus, A Kupcsik, D Hsu, WS Lee 2019 International Conference on Robotics and Automation (ICRA), 7242-7248, 2019 | 3 | 2019 |
| Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations AT Le, M Guo, N van Duijkeren, L Rozo, R Krug, AG Kupcsik, M Buerger arXiv preprint arXiv:2109.04222, 2021 | 1 | 2021 |
| Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications A Kupcsik, M Spies, A Klein, M Todescato, N Waniek, P Schillinger, ... arXiv preprint arXiv:2102.08096, 2021 | 1 | 2021 |
| Method and system for robot manipulation planning AG Kupcsik, L Rozo, M Todescato, M Spies, M Giftthaler, M Buerger, ... US Patent App. 16/892,811, 2020 | | 2020 |
| Fast Learning and Sequencing of Object-centric Manipulation Skills L Rozo, A Kupcsik, M Guo, M Todescato, P Schillinger, N Waniek, ... | | 2019 |
| Non-parametric Models and Contextual Policy Search for More Efficient Robot Skill Generalization AG Kupcsik | | 2014 |
| Dynamic Human-Robot Object Handover Learning from Human Feedback A Kupcsik, D Hsu, WS Lee | | |
Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Verified email at robot-learning.de
