Enabling Dynamic Reconfiguration of Numerical Methods for the Robotic Motion Control Task. - Fynn Schwiegelshohn; Florian Kastner; Michael Hübner 001 (IPDPS Workshops, 2016)

Towards adaptive and efficient bottling plants in a cyber physical production system environment. - Florian Kastner; Michael Hübner 001; Jochen Ohrem; Ludwig Cliisserath (AHS, 2017)

A rapid control prototyping platform methodology for decentralized automation. - Florian Kastner; Benedikt Janßen; Sebastian Schwanewilms; Michael Hübner 001 (DASIP, 2017)

A Dynamic Partial Reconfigurable Overlay Framework for Python. - Benedikt Janßen; Florian Kästner; Tim Wingender; Michael Hübner 001 (ARC, 2018)

Design of an efficient Communication Architecture for Cyber-Physical Production Systems. - Florian Kästner; Dirk Kuschnerus; Christoph Spiegel 003; Benedikt Janßen; Michael Hübner 001 (CASE, 2018)

Design and Open Source Implementation of a Reconfigurable Hardware Model Predicitive Controller Using Online Optimization. - Florian Kästner; Florian Werner 002; Erman Seydioglu; Michael Hübner 001 (DASIP, 2018)

Hardware/Software Codesign for Convolutional Neural Networks Exploiting Dynamic Partial Reconfiguration on PYNQ. - Florian Kastner; Benedikt Janßen; Frederik Kautz; Michael Hübner 001; Giulio Corradi (IPDPS Workshops, 2018)

Leveraging Radar Features to Improve Point Clouds Segmentation with Neural Networks. - Alessandro Cennamo; Florian Kästner; Anton Kummert (EANN, 2020)

Towards Pedestrian Detection in Radar Point Clouds with Pointnets. - Alessandro Cennamo; Florian Kästner; Anton Kummert (ICMVA, 2021)

A Neural Network Based System for Efficient Semantic Segmentation of Radar Point Clouds. - Alessandro Cennamo; Florian Kästner; Anton Kummert (Neural Process. Lett., 2021)