Prof. Dr. Georg Schildbach
Institute for Electrical Engineering in Medicine
Universität zu Lübeck
Moislinger Allee 53-55
23558 Lübeck
Gebäude 19
Email: | georg.schildbach(at)uni-luebeck.de |
Phone: | +49 451 3101 6202 |
Research
Main Research Interests:
- Control Theory
- Dynamic systems
- Safety and Reliability
- Autonomous Vehicles
- Autonomous Drones
Current Projects:
- Automatisierungs- / Unterstützungskonzepte für unbemannte Luftfahrzeuge zur Strukturinteraktion an Offshore-Anlagen (AURORA)
- Water Rescue Drone (WRD)
- Alliance for International Research & Education on Intelligent Systems (AIREIS)
- Offene Plattform für elektronome Nutzfahrzeuge der Zukunft (oPeNZ)
- Model Predictive Control (MPC) for Integrated Motion Planning and Control of Automated Vehicles
- Embedded Excellence - Fahrdynamik mit KI (EEMotion)
- Safety Verification of a Trajectory Tracking Controller (Pessimizer)
- Kleine Roboter für die Intelligente Biologische Landwirtschaft (KRIBL)
- Autonome Offshore-Drohne (AOD)
- Künstliche Intelligenz: KI-Labor
Curriculum Vitae
Georg Schildbach received his Masters degrees in Applied Mechanics (Dipl.-Ing.) and Industrial Engineering (Dipl. Wirtsch.-Ing.) from TU Darmstadt in 2008. After working in the financial industry for two years, he joined the Automatic Control Laboratory at ETH Zurich, where he obtained his Ph.D. in the field of control and optimization in 2014. Then he served as the Associate Director of the Hyundai Center of Excellence at UC Berkeley until 2016, and as a research engineer at Elektronische Fahrwerksysteme GmbH in the field of highly automated driving. Since 2018, he is a full professor of mechatronics at the University of Lübeck, where he heads the Autonomous Systems Lab (ASL). He is also a co-founder of the spin-off company Sentinex Robotics GmbH.
Memberships and Commitments
- VDI, active member
- IEEE, active member
- VDI/VDE Fachausschuss AUTOREG, first chair
Teaching
Courses
- Technische Mechanik 1 (Statik)
- Technische Mechanik 2 (Dynamik)
- Messtechnik
- Autonomes Fahren (Praktikum)
- Model Predictive Control
- Vehicle Dynamics and Control
- Linear System Theory
- Technology of Autonomous Vehicles
Selected Publications
Interaction-aware Traffic Prediction and Scenario-based Model Predictive Control for Autonomous Vehicles on Highways, European Control Conference (ECC), 2024.
On the Design of Interaction-Aware SCMPC for Highway Merging Scenarios, in AmEC 2024 – Automotive meets Electronics & Control; 14. GMM Symposium , 2024. pp. 24-29.
Design of a utility-based lane change decision making algorithm and a motion planning for energy-efficient highway driving, Control Engineering Practice , vol. 146, pp. 105881, 2024. Elsevier.
Error Bounds in Nonlinear Model Predictive Control with Linear Differential Inclusions of Parametric-Varying Embeddings, 2023.
On the Design of Nonlinear MPC and LPVMPC for Obstacle Avoidance in Autonomous Driving, in International Conference on Control, Decision and Information Technologies (CoDIT)(accepted) , Italy , 2023.
Weblink: | https://arxiv.org/pdf/2307.06031.pdf |
Bibtex: | @Inproceedings{Nezami2023, author = {Maryam Nezami and Dimitrios S. Karachalios and Georg Schildbach and Hossam S. Abbas}, title = {On the Design of Nonlinear MPC and LPVMPC for Obstacle Avoidance in Autonomous Driving}, booktitle = {International Conference on Control, Decision and Information Technologies (CoDIT)(accepted)}, year = {2023}, month = {July}, address = {Italy} url = {https://arxiv.org/pdf/2307.06031.pdf} } |
Scenario-Based Decision-Making, Planning and Control for Interaction-Aware Autonomous Driving on Highways, in 2023 IEEE Intelligent Vehicles Symposium (IV) , 2023. pp. 1-6.
DOI: | 10.1109/IV55152.2023.10186546 |
Deep Drifting: Autonomous Drifting of Arbitrary Trajectories using Deep Reinforcement Learning, in 2022 International Conference on Robotics and Automation (ICRA) , 2022. pp. 7753-7759.
DOI: | 10.1109/ICRA46639.2022.9812249 |
Bibtex: | @INPROCEEDINGS{9812249, author={Domberg, Fabian and Wembers, Carlos Castelar and Patel, Hiren and Schildbach, Georg}, booktitle={2022 International Conference on Robotics and Automation (ICRA)}, title={Deep Drifting: Autonomous Drifting of Arbitrary Trajectories using Deep Reinforcement Learning}, year={2022}, volume={}, number={}, pages={7753-7759}, doi={10.1109/ICRA46639.2022.9812249}} |
ROS2SWARM – A ROS 2 Package for Swarm Robot Behaviors, in IEEE International Conference on Robotics and Automation , Philadelphia, PA, United States , 2022.
Robust Tube-Based LPV-MPC for Autonomous Lane Keeping., in IFAC Workshop on Linear Parameter Varying Systems , Montreal, Canada , 2022.
File: | 2210.02971.pdf |
Bibtex: | @inproceedings{NeAbNgSc22, address = {Montreal, Canada}, title = {Robust Tube-Based LPV-MPC for Autonomous Lane Keeping.}, booktitle = {IFAC Workshop on Linear Parameter Varying Systems}, author = {Nezami, M. and Abbas, H. S. and Nguyen, N. T. and Schildbach, G.}, year = {2022} url= {https://arxiv.org/pdf/2210.02971.pdf} } |
A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving, in 2022 American Control Conference (ACC) , 2022.
File: | 2206.09735.pdf |
Bibtex: | @InProceedings{Nezami2022, author = {Maryam Nezami and Ngoc Thinh Nguyen and Georg Männel and Hossam Seddik Abbas and Georg Schildbach}, booktitle = {2022 American Control Conference (ACC)}, title = {A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving}, year = {2022}, month = jun, groups = {safe MPC}, url = {https://arxiv.org/pdf/2206.09735.pdf} } |
A Continuous Collision Checking Method for Non-holonomic Path Planning in Narrow Environments., in International Conference on System Theory, Control and Computing , Iasi, Romania , 2022.
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics, Applied Sciences , vol. 12, no. 6, pp. 3153, 2022.
DOI: | 10.3390/app12063153 |
File: | 3153 |
Bibtex: | @article{XuHeBaScAbRu22, title = {Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics}, volume = {12}, issn = {2076-3417}, url = {https://www.mdpi.com/2076-3417/12/6/3153}, doi = {10.3390/app12063153}, language = {en}, number = {6}, urldate = {2022-08-29}, journal = {Applied Sciences}, author = {Xue, Honghu and Hein, Benedikt and Bakr, Mohamed and Schildbach, Georg and Abel, Bengt and Rueckert, Elmar}, month = mar, year = {2022}, pages = {3153} } |
A Safe Control Architecture Based on a Model Predictive Control Supervisor for Autonomous Driving, in 2021 European Control Conference (ECC) , IEEE, 2021.
DOI: | 10.23919/ecc54610.2021.9655155 |
File: | 2201.13298.pdf |
Bibtex: | @inproceedings{Nezami2021, doi = {10.23919/ecc54610.2021.9655155}, url = {https://arxiv.org/pdf/2201.13298.pdf}, year = {2021}, month = jun, publisher = {IEEE}, author = {Maryam Nezami and Georg Mannel and Hossam Seddik Abbas and Georg Schildbach}, title = {A Safe Control Architecture Based on a Model Predictive Control Supervisor for Autonomous Driving}, booktitle = {2021 European Control Conference ({ECC})} } |
B-spline path planner for safe navigation of mobile robots, in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Prague, Czech Republic: IEEE, 2021.
DOI: | 10.1109/iros51168.2021.9636612 |
File: | iros51168.2021.9636612 |
Bibtex: | @inproceedings{Nguyen2021, doi = {10.1109/iros51168.2021.9636612}, url = {https://doi.org/10.1109/iros51168.2021.9636612}, year = {2021}, month = sep, publisher = {{IEEE}}, author = {Ngoc Thinh Nguyen and Lars Schilling and Michael Sebastian Angern and Heiko Hamann and Floris Ernst and Georg Schildbach}, title = {B-spline path planner for safe navigation of mobile robots}, booktitle = {2021 {IEEE}/{RSJ} International Conference on Intelligent Robots and Systems ({IROS})} } |
Tightening polytopic constraint in MPC designs for mobile robot navigation, in 25th International Conference on System Theory, Control and Computing , Iași, Romania , 2021.
Computerimplementiertes Regelungs- oder Folgeregelungsverfahren oder Optimierungsverfahren zur Absicherung von Steuerungs-algorithmen einer Regelung und/oder Regelungsalgorithmen, 2021.
Concept and Implementation of an Optimization-based Safety Verification Strategy for a Trajectory Following Controller, in ATZ Fachtagung Automatisiertes Fahren , 2020.
Trajectory Control with Lane Boundary Constraints for Autonomous Vehicles using Model Predictive Control, in BioMedTec Studierendentagung, Lübeck (Germany) , 2020.
Computerimplementiertes Regelungs- oder Folgeregelungsverfahren oder Optimierungsverfahren zur Absicherung von Steuerungsalgorithmen einer Regelung und/oder Regelungsalgorithmen (Patent Filed), 2020.
Konzepte für die Sicherheit autonomer Fahrzeuge, 2018.
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