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ORCIDAndras Gabor Kupcsik
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Journal Articles
- 2024
[j5]Leonel Rozo
, Andras G. Kupcsik, Philipp Schillinger, Meng Guo, Robert Krug, Niels van Duijkeren, Markus Spies, Patrick Kesper, Sabrina Hoppe, Hanna Ziesche, Mathias Bürger, Kai O. Arras:
The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing. Robotics Comput. Integr. Manuf. 85: 102637 (2024)- 2019
- [j4]Gregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann:
The kernel Kalman rule - Efficient nonparametric inference by recursive least-squares and subspace projections. Mach. Learn. 108(12): 2113-2157 (2019) - 2018
- [j3]Andreas Birk, Tobias Doernbach, Christian A. Mueller, Tomasz Luczynski, Arturo Gomez Chavez, Daniel Koehntopp, Andras Gabor Kupcsik, Sylvain Calinon, Ajay Kumar Tanwani, Gianluca Antonelli, Paolo Di Lillo, Enrico Simetti, Giuseppe Casalino, Giovanni Indiveri, Luigi Ostuni, Alessio Turetta, Andrea Caffaz, Peter Weiss, Thibaud Gobert, Bertrand Chemisky, Jeremi Gancet, Torsten Siedel, Shashank Govindaraj, Xavier Martinez, Pierre Letier:
Dexterous Underwater Manipulation from Onshore Locations: Streamlining Efficiencies for Remotely Operated Underwater Vehicles. IEEE Robotics Autom. Mag. 25(4): 24-33 (2018) - 2017
- [j2]Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Ai Poh Loh, Prahlad Vadakkepat, Gerhard Neumann:
Model-based contextual policy search for data-efficient generalization of robot skills. Artif. Intell. 247: 415-439 (2017) - 2014
- [j1]Gerhard Neumann, Christian Daniel, Alexandros Paraschos, Andras Gabor Kupcsik, Jan Peters:
Learning modular policies for robotics. Frontiers Comput. Neurosci. 8: 62 (2014)
Conference and Workshop Papers
- 2023
- [c11]Aleksandar Taranovic, Andras Gabor Kupcsik, Niklas Freymuth, Gerhard Neumann:
Adversarial Imitation Learning with Preferences. ICLR 2023 - 2022
- [c10]Christian Graf, David B. Adrian, Joshua Weil, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Heiko Neumann, Andras Gabor Kupcsik:
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks. CoRL 2022: 871-880 - [c9]David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann:
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation. ICRA 2022: 1562-1568 - 2021
- [c8]Andras Gabor Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Bürger:
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications. AAAI 2021: 6093-6100 - [c7]An T. Le, Meng Guo, Niels van Duijkeren, Leonel Dario Rozo, Robert Krug, Andras G. Kupcsik, Mathias Bürger:
Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations. IROS 2021: 7770-7777 - 2020
- [c6]Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger:
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks. IROS 2020: 9072-9079 - 2019
- [c5]Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian optimization. ICRA 2019: 7242-7248 - 2017
- [c4]Gregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann:
The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares. AAAI 2017: 3754-3760 - 2015
- [c3]Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Learning Dynamic Robot-to-Human Object Handover from Human Feedback. ISRR (1) 2015: 161-176 - [c2]Min Cheng, Xiaoping Chen, Keke Tang, Feng Wu, Andras Gabor Kupcsik, Luca Iocchi, Yingfeng Chen, David Hsu:
Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms. RoboCup 2015: 377-388 - 2013
- [c1]Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Gerhard Neumann:
Data-Efficient Generalization of Robot Skills with Contextual Policy Search. AAAI 2013: 1401-1407
Informal and Other Publications
- 2023
- [i9]Leonel Rozo, Andras G. Kupcsik, Philipp Schillinger, Meng Guo, Robert Krug, Niels van Duijkeren, Markus Spies, Patrick Kesper, Sabrina Hoppe, Hanna Ziesche, Mathias Bürger, Kai O. Arras:
The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing. CoRR abs/2304.10595 (2023) - 2022
- [i8]David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann:
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation. CoRR abs/2206.12145 (2022) - [i7]Christian Graf, David B. Adrian, Joshua Weil, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Heiko Neumann, Andras G. Kupcsik:
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks. CoRR abs/2209.05213 (2022) - 2021
- [i6]Andras G. Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Bürger:
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications. CoRR abs/2102.08096 (2021) - [i5]An T. Le, Meng Guo, Niels van Duijkeren, Leonel Dario Rozo, Robert Krug, Andras G. Kupcsik, Mathias Bürger:
Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations. CoRR abs/2109.04222 (2021) - 2020
- [i4]Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger:
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks. CoRR abs/2008.10471 (2020) - 2019
- [i3]Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. CoRR abs/1904.11761 (2019) - 2016
- [i2]Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Learning Dynamic Robot-to-Human Object Handover from Human Feedback. CoRR abs/1603.06390 (2016) - [i1]Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. CoRR abs/1612.01746 (2016)
Coauthor Index
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