Prof. Dr. Markus Rickert

Lehrstuhlinhaber

Besucheradresse:
Otto-Friedrich-Universit?t Bamberg
Lehrstuhl für Multimodal Intelligent Interaction
Gutenbergstr. 13
96050 Bamberg

Briefadresse:
Otto-Friedrich-Universit?t Bamberg
Lehrstuhl für Multimodal Intelligent Interaction
96045 Bamberg

Tel.: +49 951 863 3089
E-Mail: markus.rickert(at)uni-bamberg.de

Raum: GU13/01.26
Sprechzeiten: nach Vereinbarung

Curriculum Vitae

Markus Rickert ist Professor und Inhaber des Lehrstuhls für Multimodal Intelligent Interaction an der Otto-Friedrich-Universit?t Bamberg. Er erhielt 2004 das Diplom in Informatik von der Technischen Universit?t München und promovierte dort 2011 (Dr. rer. nat., summa cum laude). Von 2010 bis 2021 war er bei fortiss, dem Landesforschungsinstitut des Freistaats Bayern für softwareintensive Systeme und An-Institut der Technischen Universit?t München, wo er die Forschungsgruppe für Virtual Engineering and Robotics und die Forschungsgruppe für Autonomous Driving gründete. Bei fortiss war er von 2013 bis 2016 stellvertretender Leiter des Fachbereichs Cyber-Physical Systems und von 2016 bis 2021 Leiter des Kompetenzfelds Robotics and Machine Learning. Von 2021 bis 2023 war er an der Technischen Universit?t München und leitete dort das TUM/Huawei Automotive Solutions Innovation Lab.

Seine Forschungsinteressen umfassen Robotik, Mensch-Roboter-Interaktion, kognitive Systeme, künstliche Intelligenz, multimodale Interaktion, Bewegungsplanung, Advanced Systems Engineering und Software Engineering. Die wichtigsten Anwendungsbereiche seiner Forschung sind Serviceroboter, Smart Factories, cyber-physische Systeme, Industrieroboter, soziotechnische Systeme und autonome Fahrzeuge.

Ausgew?hlte Forschungsprojekte

JAST: Joint-Action Science and Technology (EU FP6, 2004–2009)
JAHIR: Joint Action for Humans and Industrial Robots (DFG EXC CoTeSys, 2006–2009)
BAJA: Basic Aspects of Joint Action (DFG EXC CoTeSys, 2009–2010)
JAMES: Joint Action for Multimodal Embodied Social Systems (EU FP7, 2011–2014)
SMErobotics: The European Robotics Initiative for Strengthening the Competitiveness of SMEs in Manufacturing by Integrating Aspects of Cognitive Systems (EU FP7, 2012–2016)
SPEEDFACTORY: Automatische Einzelstückfertigung von Sportschuhen und Textilien (BMWi, 2013–2016)
FarmExpert 4.0: Architektur eines unabh?ngigen Expertennetzes für die Landwirtschaft für das Zeitalter der Digitalisierung (StMELF, 2017–2020)
Data Backbone: Erforschung eines Data Backbone Ansatzes für den Einsatz montagef?higer Robotiksysteme in cyberphysischen Systemen (StMWi, 2018–2020)
EmPReSs: Empowerment in der Produktion von morgen: Mixed Skill Factories und kollaborative Robotersysteme neu denken (bidt, 2020–2022)
VOJEXT: Value of Joint Experimentation in Digital Technologies for Manufacturing and Construction (EU H2020, 2020–2023)
IRISS: Intuitive Roboterprogrammierung und Integration standardisierter Steuerungsschnittstellen (StMWi, 2021–2023)
DiProLeA: Digitaler Produktentstehungsprozesses mit lernendem Assistenzsystem (BMBF, 2021–2024)
MANNHEIM-CeCaS: Central Car Server – Supercomputing für Automotive (BMBF, 2022–2025)

Ver?ffentlichungen

Wen, Long, Zhang, Yu, Rickert, Markus, Lin, Jianjie, Pan, Fengjunjie, & Knoll, Alois. (2025). Cloud-Native Fog Robotics: Model-Based Deployment and Evaluation of Real-Time Applications. IEEE Robotics and Automation Letters, 10(1), 398–405. https://doi.org/10.1109/LRA.2024.3504243

Pan, Fengjunjie, Lin, Jianjie, & Rickert, Markus. (2024). Automatic Platform Configuration and Software Integration for Software-Defined Vehicles (pp. 1–7). arXiv. https://doi.org/10.48550/arxiv.2408.02127

Pan, Fengjunjie, Rickert, Markus, Betz, Tobias, Wen, Long, Lin, Jianjie, Petrovic, Nenad, Lienkamp, Markus, & Knoll, Alois. (2024). Toward Software-Defined Vehicles: From Model-Based Engineering to Virtualization-Based Deployment. IEEE Access, 12, 192127–192145. https://doi.org/10.1109/ACCESS.2024.3512002

Wen, Long, Rickert, Markus, Pan, Fengjunjie, Lin, Jianjie, Zhang, Yu, Betz, Tobias, & Knoll, Alois. (2024). Virtualization & Microservice Architecture for Software-Defined Vehicles: An Evaluation and Exploration (pp. 1–15). arXiv. https://doi.org/10.48550/arxiv.2412.09995

Lin, Jianjie, Rickert, Markus, & Knoll, Alois. (2023). LieGrasPFormer: Point Transformer-Based 6-DOF Grasp Detection with Lie Algebra Grasp Representation. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 1–7. https://doi.org/10.1109/CASE56687.2023.10260543

Lin, Jianjie, Rickert, Markus, Wen, Long, Hu, Yingbai, & Knoll, Alois. (2023). Robust Point Cloud Registration with Geometry-based Transformation Invariant Descriptor. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Proceedings, 7163–7170. https://doi.org/10.1109/IROS55552.2023.10342244

Lin, Jianjie, Rickert, Markus, Wen, Long, Pan, Fengjunjie, & Knoll, Alois. (2023). Knowledge-Augmented Anomaly Detection in Small Lot Production for Semantic Temporal Process Data. 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), 1–8. https://doi.org/10.1109/ETFA54631.2023.10275461

Pan, Fengjunjie, Lin, Jianjie, Rickert, Markus, & Knoll, Alois. (2023). Automated Design Space Exploration for Resource Allocation in Software-Defined Vehicles. 2023 IEEE Intelligent Vehicles Symposium (IV), 1–8. https://doi.org/10.1109/IV55152.2023.10186605

Wen, Long, Rickert, Markus, Pan, Fengjunjie, Lin, Jianjie, & Knoll, Alois. (2023). Bare-Metal vs. Hypervisors and Containers: Performance Evaluation of Virtualization Technologies for Software-Defined Vehicles. 2023 IEEE Intelligent Vehicles Symposium (IV), 1–8. https://doi.org/10.1109/IV55152.2023.10186789

Pan, Fengjunjie, Lin, Jianjie, Rickert, Markus, & Knoll, Alois. (2022). Resource Allocation in Software-Defined Vehicles: ILP Model Formulation and Solver Evaluation. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2577–2584. https://doi.org/10.1109/ITSC55140.2022.9922526

Kessler, Ingmar, Perzylo, Alexander, & Rickert, Markus. (2021). Ontology-Based Decision Support System for the Nitrogen Fertilization of Winter Wheat. Metadata and Semantic Research: MTSR 2020; Communications in Computer and Information Science, 1355, 245–256. https://doi.org/10.1007/978-3-030-71903-6_24

Lin, Jianjie, Rickert, Markus, & Knoll, Alois. (2021a). Deep Hierarchical Rotation Invariance Learning with Exact Geometry Feature Representation for Point Cloud Classification. 2021 IEEE International Conference on Robotics and Automation (ICRA), 9529–9535. https://doi.org/10.1109/ICRA48506.2021.9561307

Lin, Jianjie, Rickert, Markus, & Knoll, Alois. (2021b). Parameterizable and Jerk-Limited Trajectories with Blending for Robot Motion Planning and Spherical Cartesian Waypoints. 2021 IEEE International Conference on Robotics and Automation (ICRA), 13982–13988. https://doi.org/10.1109/ICRA48506.2021.9561601

Lin, Jianjie, Rickert, Markus, & Knoll, Alois. (2021c). Grasp Planning for Flexible Production with Small Lot Sizes based on CAD models using GPIS and Bayesian Optimization. 2021 IEEE 17th International Conference on Automation Science and E