M. Sc. Patrick Schlosser

Zur Person



October 2016 – December 2018: Studying Informatics (Master's degree), Karlsruhe Institute of Technology (KIT)

Oktober 2012 – Oktober 2016: Studying Informatics (Bachelor's degree), Karlsruhe Institute of Technology (KIT)


Practical Experience:


April 2019 – today: Research assistant at IAR-IPR (KIT)

Dezember 2017 – Dezember 2018: Student assistant at Fraunhofer IOSB Ettlingen

Januar 2016 – Juli 2017: Student assistant at HIS (KIT)

Oktober 2016 – März 2017: Internship at robodev GmbH


Plug-and-Produce... Safely! End-to-End Model-Based Safety Assurance for Reconfigurable Industry 4.0
Hillen, D.; Huck, T. P.; Laxman, N.; Ledermann, C.; Reich, J.; Schlosser, P.; Schmidt, A.; Schneider, D.; Uecker, D.
2022. Model-Based Safety and Assessment – 8th International Symposium, IMBSA 2022, Munich, Germany, September 5–7, 2022, Proceedings. Ed.: C. Seguin, 83–97, Springer International Publishing. doi:10.1007/978-3-031-15842-1_7
Achieving Hard Real-Time Capability for 3D Human Pose Estimation Systems
Schlosser, P.; Ledermann, C.
2021. 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China, 30 May-5 June 2021, 3772–3778, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA48506.2021.9561390
SpaceMaze: incentivizing correct mobile crowdsourced sensing behaviour with a sensified minigame
Budde, M.; Rohe, J. F.; Hirschoff, L.; Schlosser, P.; Beigl, M.; Holopainen, J.; Schankin, A.
2021. Behaviour & information technology, 40 (15), 1627–1642. doi:10.1080/0144929X.2020.1772878
The RoboShield Demonstrator : From static to flexible safety measures in industrial Human Robot Collaboration
Huang, X.; Huck, T. P.; Schlosser, P.; Baek, W.-J.; Ledermann, C.
2020. Forum Safety & Security 2020 (Proceedings)
Using diverse neural networks for safer human pose estimation: Towards making neural networks know when they don’t know
Schlosser, P.; Ledermann, C.
2020. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 24 October - 24 January 2021, online, 10305–10312, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS45743.2020.9341634
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals
Schlosser, P.; Munch, D.; Arens, M.
2019. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Long Beach, CA, USA, USA, 2448–2456, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CVPRW.2019.00300