Data-Efficient Generalization of Robot Skills with Contextual Policy Search. - Andras Gabor Kupcsik; Marc Peter Deisenroth; Jan Peters 001; Gerhard Neumann (AAAI, 2013)

Learning modular policies for robotics. - Gerhard Neumann; Christian Daniel; Alexandros Paraschos; Andras Gabor Kupcsik; Jan Peters 001 (Frontiers Comput. Neurosci., 2014)

Learning Dynamic Robot-to-Human Object Handover from Human Feedback. - Andras Gabor Kupcsik; David Hsu; Wee Sun Lee (ISRR (1), 2015)

Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms. - Min Cheng; Xiaoping Chen; Keke Tang; Feng Wu 001; Andras Gabor Kupcsik; Luca Iocchi; Yingfeng Chen; David Hsu (RoboCup, 2015)

Factored Contextual Policy Search with Bayesian Optimization. - Péter Karkus; Andras Gabor Kupcsik; David Hsu; Wee Sun Lee (CoRR, 2016)

The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares. - Gregor H. W. Gebhardt; Andras Gabor Kupcsik; Gerhard Neumann (AAAI, 2017)

Model-based contextual policy search for data-efficient generalization of robot skills. - Andras Gabor Kupcsik; Marc Peter Deisenroth; Jan Peters 001; Ai Poh Loh; Prahlad Vadakkepat; Gerhard Neumann (Artif. Intell., 2017)

Dexterous Underwater Manipulation from Onshore Locations: Streamlining Efficiencies for Remotely Operated Underwater Vehicles. - Andreas Birk 002; 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; et al. (IEEE Robotics Autom. Mag., 2018)

Factored Contextual Policy Search with Bayesian optimization. - Robert Pinsler; Péter Karkus; Andras Gabor Kupcsik; David Hsu; Wee Sun Lee (ICRA, 2019)

The kernel Kalman rule - Efficient nonparametric inference by recursive least-squares and subspace projections. - Gregor H. W. Gebhardt; Andras Gabor Kupcsik; Gerhard Neumann (Mach. Learn., 2019)

Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks. - Leonel Dario Rozo; Meng Guo 002; Andras G. Kupcsik; Marco Todescato; Philipp Schillinger; Markus Giftthaler; Matthias Ochs; Markus Spies; Nicolai Waniek; Patrick Kesper; Mathias Bürger (IROS, 2020)

Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications. - Andras Gabor Kupcsik; Markus Spies; Alexander Klein; Marco Todescato; Nicolai Waniek; Philipp Schillinger; Mathias Bürger (AAAI, 2021)

Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations. - An T. Le 001; Meng Guo 002; Niels van Duijkeren; Leonel Dario Rozo; Robert Krug 003; Andras G. Kupcsik; Mathias Bürger (IROS, 2021)

Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks. - Christian Graf; David B. Adrian; Joshua Weil; Miroslav Gabriel; Philipp Schillinger; Markus Spies; Heiko Neumann; Andras Gabor Kupcsik (CoRL, 2022)

Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation. - David B. Adrian; Andras Gabor Kupcsik; Markus Spies; Heiko Neumann (ICRA, 2022)

Adversarial Imitation Learning with Preferences. - Aleksandar Taranovic; Andras Gabor Kupcsik; Niklas Freymuth; Gerhard Neumann (ICLR, 2023)

Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images. - David B. Adrian; Andras Gabor Kupcsik; Markus Spies; Heiko Neumann (ICRA, 2024)

The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing. - Leonel Rozo; Andras G. Kupcsik; Philipp Schillinger; Meng Guo 002; Robert Krug 003; Niels van Duijkeren; Markus Spies; Patrick Kesper; Sabrina Hoppe; Hanna Ziesche; Mathias Bürger; Kai O. Arras (Robotics Comput. Integr. Manuf., 2024)