Follow
Andras Kupcsik
Andras Kupcsik
Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
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
1322013
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
872017
Learning dynamic robot-to-human object handover from human feedback
A Kupcsik, D Hsu, WS Lee
Robotics research, 161-176, 2018
522018
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
442018
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 modular policies for robotics
G Neumann, C Daniel, A Paraschos, A Kupcsik, J Peters
Frontiers in computational neuroscience 8, 62, 2014
242014
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
142020
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
132017
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
102013
The kernel Kalman rule
GHW Gebhardt, A Kupcsik, G Neumann
Machine Learning 108 (12), 2113-2157, 2019
82019
Learning subspace conditional embedding operators
GHW Gebhardt, A Kupcsik, G Neumann
Workshop on large-scale kernel learning at ICML, 2015
52015
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
42021
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
42019
Factored contextual policy search with Bayesian optimization
P Karkus, A Kupcsik, D Hsu, WS Lee
arXiv preprint arXiv:1612.01746, 2016
42016
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
42015
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
22021
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
DB Adrian, AG Kupcsik, M Spies, H Neumann
arXiv preprint arXiv:2206.12145, 2022
2022
Device and method for controlling a robot to pick up an object in various positions
AG Kupcsik, M Todescato, M Spies, N Waniek, PC Schillinger, M Buerger
US Patent App. 17/453,920, 2022
2022
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
2022
Method for controlling a robotic device and robot control unit
AG Kupcsik, L Rozo, M Guo, P Kesper, PC Schillinger
US Patent App. 17/453,240, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20