追蹤
Andras Kupcsik
Andras Kupcsik
Bosch Center for Artificial Intelligence
在 de.bosch.com 的電子郵件地址已通過驗證
標題
引用次數
引用次數
年份
Data-efficient generalization of robot skills with contextual policy search
A Kupcsik, M Deisenroth, J Peters, G Neumann
Proceedings of the AAAI conference on artificial intelligence 27 (1), 1401-1407, 2013
1432013
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
982017
Learning dynamic robot-to-human object handover from human feedback
A Kupcsik, D Hsu, WS Lee
Robotics Research: Volume 1, 161-176, 2018
832018
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
612018
Learning modular policies for robotics
G Neumann, C Daniel, A Paraschos, A Kupcsik, J Peters
Frontiers in computational neuroscience 8, 62, 2014
292014
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
262013
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
212020
The kernel Kalman rule—Efficient nonparametric inference with recursive least squares
G Gebhardt, A Kupcsik, G Neumann
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
202017
Learning forceful manipulation skills from multi-modal human demonstrations
AT Le, M Guo, N van Duijkeren, L Rozo, R Krug, AG Kupcsik, M Bürger
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
182021
The kernel kalman rule: Efficient nonparametric inference by recursive least-squares and subspace projections
GHW Gebhardt, A Kupcsik, G Neumann
Machine Learning 108 (12), 2113-2157, 2019
122019
Supervised training of dense object nets using optimal descriptors for industrial robotic applications
AG Kupcsik, M Spies, A Klein, M Todescato, N Waniek, P Schillinger, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6093-6100, 2021
102021
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
92013
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
52019
Factored contextual policy search with Bayesian optimization
P Karkus, A Kupcsik, D Hsu, WS Lee
arXiv preprint arXiv:1612.01746, 2016
52016
Learning subspace conditional embedding operators
GHW Gebhardt, A Kupcsik, G Neumann
Workshop on Large-Scale Kernel Learning at ICML 2015, 2015
52015
Efficient and robust training of dense object nets for multi-object robot manipulation
DB Adrian, AG Kupcsik, M Spies, H Neumann
2022 International Conference on Robotics and Automation (ICRA), 1562-1568, 2022
42022
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
RoboCup 2015: Robot World Cup XIX 19, 377-388, 2015
42015
Learning dense visual descriptors using image augmentations for robot manipulation tasks
C Graf, DB Adrian, J Weil, M Gabriel, P Schillinger, M Spies, H Neumann, ...
Conference on Robot Learning, 871-880, 2023
32023
Adversarial imitation learning with preferences
A Taranovic, AG Kupcsik, N Freymuth, G Neumann
The Eleventh International Conference on Learning Representations, 2022
32022
Apparatus and method for training a machine learning model to recognize an object topology of an object from an image of the object
AG Kupcsik, M Todescato, M Spies, N Waniek, PC Schillinger, M Buerger
US Patent App. 17/454,208, 2022
22022
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