Data-driven quasi-lpv model predictive control using koopman operator techniques PSG Cisneros, A Datar, P Göttsch, H Werner IFAC-PapersOnLine 53 (2), 6062-6068, 2020 | 19 | 2020 |
Designing convolutional neural networks using a genetic approach for ball detection GC Felbinger, P Göttsch, P Loth, L Peters, F Wege Robot World Cup, 150-161, 2018 | 9 | 2018 |
Let Your Robot Go–Challenges of a Decentralized Remote Robot Competition T Laue, A Moos, P Göttsch 2021 European Conference on Mobile Robots (ECMR), 1-7, 2021 | 4 | 2021 |
A segmentation scheme for CLF dynamic movement control applied to robotic handwriting P Göttsch, R Olschewski, H Werner IFAC-PapersOnLine 50 (1), 11459-11464, 2017 | 3 | 2017 |
Enabling backchannel communication between a lecturer and a large group MS Glessmer, MA Pick, P Göttsch Proceedings of the 42nd SEFI Conference, 1-8, 2014 | 3 | 2014 |
Data-driven H∞ Optimal Controller Design using the Koopman Operator: Case Study F Ganz, A Datar, P Göttsch, H Werner 2021 European Control Conference (ECC), 594-599, 2021 | | 2021 |
ICS-Zooids-An Experimental Testbed for Cooperative Control Strategies NRPGH Werner, N Rathakrishnan, P Göttsch, H Werner | | 2020 |
ICS-Zooids-An Experimental Testbed for Cooperative Control Strategies N Rathakrishnan, P Göttsch, H Werner IFAC-PapersOnLine 53 (2), 9734-9739, 2020 | | 2020 |
Qualification Document for RoboCup 2016 F Poppinga, P Göttsch, A Hasselbring, F Linzer, P Loth, T Schattschneider, ... | | |