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Integrative Computational Design and Construction for Architecture (T3.0)
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RP 8-1 – Cyber-Physical Construction Platform

Cyber-Physical Construction Platform

Research Project 8-1 (RP 8-1)

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CYBER-PHYSICAL CONSTRUCTION PLATFORM

The aim of this research project is to develop a cyber-physical construction (CPC) platform for the automated and rope guided handling of heavy loads and the on-site assembly of prefabricated elements for multi-storey buildings. An automated tower crane, as a large workspace serving the handling system, realises the pick-up and transportation processes. Imaging methods or laser scanning is used to monitor all automated processes and the overall construction progress resulting in a construction site monitoring concept. With the aim of full automation, we will plan paths and trajectories for material transportation and assembly based on an environmental model derived from these sensors. The specific tasks to be automated will be derived from planning data of the construction process. To be able to compare the current state of the site with the planning data, a semantic interpretation will be added to the geometric information of the as-built 3D model.

We will develop a novel hook-mounted gripper system for the tower crane, to handle differently shaped elements. In addition, we aim to automatically perform coordinated motions of the tower crane and the spider crane, which is the subject of the research project Robotic Platform for Cyber-Physical Assembly (RP 16-1), in order to seamlessly place prefabricated elements. This will be achieved by developing hybrid control strategies.

PRINCIPAL INVESTIGATORS

Prof. Dr.-Ing. habil. Dr. h.c. Oliver Sawodny
Institute for System Dynamics (ISYS), University of Stuttgart
Prof. Dr.-Ing. Uwe Sörgel
Institute for Photogrammetry (IFP), University of Stuttgart

TEAM

apl. Prof. Dr.-Ing. Norbert Haala (IFP)
Mark Burkhardt (ISYS)
Lena Joachim (IFP)

PEER-REVIEWED PUBLICATIONS

2024
1. Schüle, J., Burkhardt, M., Gienger, A., & Sawodny, O. (2024). Towards Automated Construction: Visual-based Pose Reconstruction for Tower Crane Operations using Differentiable Rendering and Network-based Image Segmentation. 2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE), 1–7. https://doi.org/10.1109/ISIE54533.2024.10595817
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  @inproceedings{10595817, abstract = {This study focuses on visual-based pose reconstruction, aimed at automating construction sites. It addresses the pivotal challenge of camera-based pose reconstruction, crucial for robotic operations, as discussed in this work for tracking objects maneuvered by tower cranes. Central to this research is the formulation of a gradient-based optimization problem, with the objective of enhancing the alignment between synthetic model renderings and actual image captures through the use of differentiable rendering. Additionally, the study presents the design of a neural network tailored for image segmentation, intending to simplify the network architecture to reduce latency times and meet real-time operational demands. Although the entire procedure is motivated and discussed for the application of object tracking of a load by a tower crane, the presented framework is extendable, without loss of generality, to all camera-based object pose reconstructions, where a predefined geometric model of the target object is available. The adaptability and innovative applications of the framework highlight its significant contributions to advancing robotic vision and automation within the construction industry and beyond.}, author = {Schüle, Johannes and Burkhardt, Mark and Gienger, Andreas and Sawodny, Oliver}, booktitle = {2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE)}, doi = {10.1109/ISIE54533.2024.10595817}, issn = {2163-5145}, month = {06}, pages = {1-7}, title = {Towards Automated Construction: Visual-based Pose Reconstruction for Tower Crane Operations using Differentiable Rendering and Network-based Image Segmentation}, year = 2024 }
2023
1. Burkhardt, M., Gienger, A., Joachim, L., Haala, N., Sörgel, U., & Sawodny, O. (2023). Data-based error compensation for georeferenced payload path tracking of automated tower cranes. Mechatronics, 94, 103028--. https://doi.org/10.1016/j.mechatronics.2023.103028
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  @article{burkhardt2023databased, abstract = {In order to increase the productivity on construction sites, a current topic of research is the automation of the payload transport by tower cranes. Thereby, a key requirement is to ensure that the tower crane precisely tracks the planned paths and positions the payload at the specified target location. Most of the state-of-the-art tower crane controllers damp load sway while moving each driving system to its desired position. However, the path error also consists of bending displacements of the tower crane’s mechanical structure, observer errors, or sensor offsets once the crane hook position is considered in a fixed georeferenced construction site system. These errors have not been addressed in literature on tower cranes so far. This paper introduces an approach to reduce the path error of automated tower cranes without permanently integrating additional sensors. A regression model is derived for predicting the path error and a least absolute shrinkage and selection operator (LASSO) is used to select the most important features. The predicted error is then used to compute a compensating hook path such that the measured hook path matches the desired hook path. The effectiveness of the approach is experimentally validated utilizing a real large-scale tower crane showing a reduction of the path error of more than 50% and a position accuracy of less than 16 cm.}, author = {Burkhardt, Mark and Gienger, Andreas and Joachim, Lena and Haala, Norbert and Sörgel, Uwe and Sawodny, Oliver}, doi = {https://doi.org/10.1016/j.mechatronics.2023.103028}, issn = {09574158}, journal = {Mechatronics}, pages = {103028--}, title = {Data-based error compensation for georeferenced payload path tracking of automated tower cranes}, url = {https://www.sciencedirect.com/science/article/pii/S0957415823000843}, volume = 94, year = 2023 }
2. Burkhardt, M., Gienger, A., & Sawodny, O. (2023). Optimization-Based Multipoint Trajectory Planning Along Straight Lines for Tower Cranes. IEEE Transactions on Control Systems Technology, 1–8. https://doi.org/10.1109/TCST.2023.3308762
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  @article{10262144, abstract = {On common construction sites, it is often the case that tower cranes must move heavy payloads along straight lines either due to obstacles or it is the direct route to a target location. In order to enable this motion for autonomous tower cranes, the goal of this work is an offline trajectory planning algorithm for the tower crane’s payload to follow multiple straight connection lines of waypoints and compute smooth transitions at the intersection of the connection lines. The considered tower crane is a rigid tower crane with five degrees of freedom. An optimal control problem (OCP) is formulated in order to compute the trajectory for the transition between two waypoints minimizing the transition time and weighted path error. The smooth transitions between the connection lines are obtained by solving the OCP for the next connection line utilizing the current position as initial condition. The simulation results investigate the time gain in comparison to a trajectory that precisely positions the payload at each waypoint. The experimental validation with a real large-scale tower crane verifies that the crane is able to time-efficiently pass through an obstacle course.}, author = {Burkhardt, Mark and Gienger, Andreas and Sawodny, Oliver}, doi = {10.1109/TCST.2023.3308762}, issn = {1558-0865}, journal = {IEEE Transactions on Control Systems Technology}, pages = {1-8}, title = {Optimization-Based Multipoint Trajectory Planning Along Straight Lines for Tower Cranes}, year = 2023 }
3. Burkhardt, M., Joachim, L., Gienger, A., Haala, N., Sörgel, U., & Sawodny, O. (2023, August). Rotation Control of a Novel Crane Gripper with Visual-Inertial Feedback. Proceedings of 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE).
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  @inproceedings{burkhardt2023rotation, author = {Burkhardt, Mark and Joachim, Lena and Gienger, Andreas and Haala, Norbert and Sörgel, Uwe and Sawodny, Oliver}, booktitle = {Proceedings of 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)}, month = {08}, organization = {IEEE}, title = {Rotation Control of a Novel Crane Gripper with Visual-Inertial Feedback}, year = 2023 }
4. Collmar, D., Walter, V., Koelle, M., & Soergel, U. (2023). FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-1/W1-2023, 159--166. https://doi.org/10.5194/isprs-annals-X-1-W1-2023-159-2023
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  @article{isprs-annals-X-1-W1-2023-159-2023, author = {Collmar, D. and Walter, V. and Koelle, M. and Soergel, U.}, doi = {10.5194/isprs-annals-X-1-W1-2023-159-2023}, journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, pages = {159--166}, title = {FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA}, url = {https://isprs-annals.copernicus.org/articles/X-1-W1-2023/159/2023/}, volume = {X-1/W1-2023}, year = 2023 }
5. Haala, N., Zhang, W., Joachim, L., Skuddis, D., Abolhasani, S., Schwieger, V., & Soergel, U. (2023). Zum Potenzial von SLAM-Verfahren für geodätische Echtzeit-Messaufgaben. Allgemeine Vermessungsnachrichten (Avn), 163–172. https://gispoint.de/artikelarchiv/avn/2023/avn-ausgabe-052023/7879-zum-potenzial-von-slam-verfahren-fuer-geodaetische-echtzeit-messaufgaben.html
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  @article{haala2023potenzial, abstract = {Simultaneous Localization and Mapping (SLAM) zielt auf die Echtzeiterfassung einer Umgebungskarte mittels einer mobilen Roboterplattform, wobei gleichzeitig die Lokalisierung des Roboters bezüglich seiner Umgebung erfolgt. Zu diesem Zweck kombiniert der Roboter Navigationssensoren, wie IMU oder Odometer, mit Sensoren, wie Laserscanner und/oder monokulare, Stereo- oder RGB-D-Kameras, zur Erfassung der Umgebung. Analog zum bekannten Structure-from-Motion-Verfahren basiert die simultane Bestimmung der Aufnahmepose und der 3D-Karte der Umgebung auf einer photogrammetrischen Bündelblockausgleichung. Hierzu werden zugeordnete Bildpunkte und/oder Laserscans zwischen den jeweiligen Aufnahmen genutzt. SLAM-Verfahren haben mittlerweile einen beachtlichen Entwicklungsstand erreicht. Sie kommen in immer mehr praktischen Anwendungen zum Einsatz und können zunehmend auch für ingenieurgeodätische Messaufgaben genutzt werden. Von besonderem Interesse sind dabei Echtzeitanwendungen. In diesem Beitrag wird das Potenzial existierender SLAM-Verfahren für geodätische Aufgaben am Beispiel aktueller Projekte, wie der Erfassung von Baustellen mittels auf einem Kran montierten Kameras und der mobilen 3D-Kartierung von Innenräumen, demonstriert und diskutiert.}, author = {Haala, Norbert and Zhang, Wei and Joachim, Lena and Skuddis, David and Abolhasani, Sahar and Schwieger, Volker and Soergel, Uwe}, journal = {Allgemeine Vermessungsnachrichten (avn)}, month = {05}, pages = {163-172}, title = {Zum Potenzial von SLAM-Verfahren für geodätische Echtzeit-Messaufgaben}, url = {https://gispoint.de/artikelarchiv/avn/2023/avn-ausgabe-052023/7879-zum-potenzial-von-slam-verfahren-fuer-geodaetische-echtzeit-messaufgaben.html}, year = 2023 }
6. Schneider, P. J., Yang, C.-H., Li, Y., Koppe, M., Soergel, U., Pakzad, K., & Rudolf, T. (2023). DEVELOPMENT OF A WEB PLATFORM TO VISUALIZE PS-INSAR DATA IN A BUILDING INFORMATION MANAGEMENT SYSTEM. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-1/W1-2023, 869--873. https://doi.org/10.5194/isprs-annals-X-1-W1-2023-869-2023
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  @article{isprs-annals-X-1-W1-2023-869-2023, author = {Schneider, P. J. and Yang, C.-H. and Li, Y. and Koppe, M. and Soergel, U. and Pakzad, K. and Rudolf, T.}, doi = {10.5194/isprs-annals-X-1-W1-2023-869-2023}, journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, pages = {869--873}, title = {DEVELOPMENT OF A WEB PLATFORM TO VISUALIZE PS-INSAR DATA IN A BUILDING INFORMATION MANAGEMENT SYSTEM}, url = {https://isprs-annals.copernicus.org/articles/X-1-W1-2023/869/2023/}, volume = {X-1/W1-2023}, year = 2023 }
7. Zhang, X., Lin, D., Xue, R., & Soergel, U. (2023). TARGET-GUIDED LEARNING FOR RARE CLASS SEGMENTATION IN LARGE-SCALE URBAN POINT CLOUDS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W2-2023, 1693--1698. https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1693-2023
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  @article{isprs-archives-XLVIII-1-W2-2023-1693-2023, author = {Zhang, X. and Lin, D. and Xue, R. and Soergel, U.}, doi = {10.5194/isprs-archives-XLVIII-1-W2-2023-1693-2023}, journal = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, pages = {1693--1698}, title = {TARGET-GUIDED LEARNING FOR RARE CLASS SEGMENTATION IN LARGE-SCALE URBAN POINT CLOUDS}, url = {https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1693/2023/}, volume = {XLVIII-1/W2-2023}, year = 2023 }
2022
1. Burkhardt, M., Joachim, L., Lerke, O., Thomas, M., Schwieger, V., Haala, N., & Sawodny, O. (2022). Kran. Deutsches Patent- und Markenamt.
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  @patent{burkhardt2022, author = {Burkhardt, Mark and Joachim, Lena and Lerke, Otto and Thomas, Matthias and Schwieger, Volker and Haala, Norbert and Sawodny, Oliver}, publisher = {Deutsches Patent- und Markenamt}, title = {Kran}, year = 2022 }
2. Joachim, L., Zhang, W., Haala, N., & Soergel, U. (2022). Evaluation of the quality of real-time mapping with crane cameras and visual SLAM algorithms. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2022, 545–552. https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-545-2022
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  @inproceedings{joachim2022evaluation, author = {Joachim, Lena and Zhang, Wei and Haala, Norbert and Soergel, Uwe}, booktitle = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, doi = {10.5194/isprs-archives-XLIII-B2-2022-545-2022}, pages = {545–552}, title = {Evaluation of the quality of real-time mapping with crane cameras and visual SLAM algorithms}, volume = {XLIII-B2-2022}, year = 2022 }
3. Thomas, M., & Sawodny, O. (2022). Flatness-based feedforward and modal model-predictive state-feedback control of a double pendulum bridge crane. The 9th IFAC Symposium on Mechatronic Systems & The 16th International Conference on Motion and Vibration Control, 24–29.
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  @inproceedings{thomas2022flatnessbased, author = {Thomas, Matthias and Sawodny, Oliver}, booktitle = {The 9th IFAC Symposium on Mechatronic Systems & The 16th International Conference on Motion and Vibration Control}, month = {09}, organization = {IFAC}, pages = {24-29}, title = {Flatness-based feedforward and modal model-predictive state-feedback control of a double pendulum bridge crane}, year = 2022 }
4. Wolff, F., Uchiyama, N., Burkhardt, M., & Sawodny, O. (2022). Nonlinear Model Predictive Control with Non-Equidistant Discretization Time Grids for Rotary Cranes. 2022 13th Asian Control Conference (ASCC), 1753–1758. https://doi.org/10.23919/ASCC56756.2022.9828180
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  @inproceedings{wolff2022nonlinear, author = {Wolff, Frank and Uchiyama, Naoki and Burkhardt, Mark and Sawodny, Oliver}, booktitle = {2022 13th Asian Control Conference (ASCC)}, doi = {10.23919/ASCC56756.2022.9828180}, pages = {1753-1758}, title = {Nonlinear Model Predictive Control with Non-Equidistant Discretization Time Grids for Rotary Cranes}, year = 2022 }
2021
1. Burkhardt, M., & Sawodny, O. (2021). Towards Modeling and Control of a Crane-Collaboration for the Automated Assembly of Timber Structures. IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society, 1–6. https://doi.org/10.1109/IECON48115.2021.9589787
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  @inproceedings{burkhardt2021towards, affiliation = {Burkhardt, M (Corresponding Author), Univ Stuttgart, Inst Syst Dynam, Stuttgart, Germany. Burkhardt, Mark; Sawodny, Oliver, Univ Stuttgart, Inst Syst Dynam, Stuttgart, Germany.}, author = {Burkhardt, Mark and Sawodny, Oliver}, booktitle = {IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society}, doi = {10.1109/IECON48115.2021.9589787}, eventdate = {2021-10-13/2021-10-16}, eventtitle = {47th Annual Conference of the IEEE-Industrial-Electronics-Society (IECON)}, isbn = {{978-1-6654-3554-3} and {978-1-6654-0256-9}}, language = {eng}, pages = {1-6}, publisher = {IEEE}, research-areas = {Automation & Control Systems; Engineering}, title = {Towards Modeling and Control of a Crane-Collaboration for the Automated Assembly of Timber Structures}, unique-id = {WOS:000767230604039}, venue = {Online}, year = 2021 }
2. Burkhardt, M., & Sawodny, O. (2021). A graph-based path planning algorithm for the control of tower cranes. 2021 American Control Conference (ACC), 1736–1741. https://doi.org/10.23919/ACC50511.2021.9482797
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  @inproceedings{burkhardt2021graphbased, address = {Piscataway}, affiliation = {Burkhardt, M (Corresponding Author), Univ Stuttgart, Inst Syst Dynam, Waldburgstr 17-19, D-70563 Stuttgart, Germany. Burkhardt, Mark; Sawodny, Oliver, Univ Stuttgart, Inst Syst Dynam, Waldburgstr 17-19, D-70563 Stuttgart, Germany.}, author = {Burkhardt, Mark and Sawodny, Oliver}, booktitle = {2021 American Control Conference (ACC)}, doi = {10.23919/ACC50511.2021.9482797}, eventdate = {2021-05-25/2021-05-28}, eventtitle = {2021 American Control Conference (ACC)}, isbn = {{978-1-6654-4197-1} and {978-1-6654-4198-8} and {978-1-7281-9704-3}}, language = {eng}, pages = {1736-1741}, publisher = {IEEE}, research-areas = {Automation & Control Systems; Engineering}, title = {A graph-based path planning algorithm for the control of tower cranes}, unique-id = {WOS:000702263301133}, venue = {Online}, year = 2021 }
3. Rauscher, F., & Sawodny, O. (2021). Efficient Online Trajectory Planning for Integrator Chain Dynamics using Polynomial Elimination. IEEE Robotics and Automation Letters, 6(3), Article 3. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9403885
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  @article{rauscher2021efficient, author = {Rauscher, Florentin and Sawodny, Oliver}, journal = {IEEE Robotics and Automation Letters}, language = {English}, month = {07}, number = 3, pages = {5183-5190}, publisher = {IEEE}, title = {Efficient Online Trajectory Planning for Integrator Chain Dynamics using Polynomial Elimination}, url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9403885}, volume = 6, year = 2021 }
4. Thomas, M., Werner, T., & Sawodny, O. (2021). Online trajectory generation and feedforward control for manually-driven cranes with input constraints. 2021 IEEE Conference on Control Technology and Applications (CCTA).
  - BibTeX
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  @inproceedings{thomas2021online, author = {Thomas, Matthias and Werner, Timothy and Sawodny, Oliver}, booktitle = {2021 IEEE Conference on Control Technology and Applications (CCTA)}, organization = {IEEE}, title = {Online trajectory generation and feedforward control for manually-driven cranes with input constraints}, year = 2021 }

OTHER PUBLICATIONS

2023
1. Burkhardt, M., Joachim, L., Gienger, A., Haala, N., Sörgel, U., & Sawodny, O. (2023). Datenbasiertes Korrektursystem für Lastpositionsfehler von automatisierten Turmdrehkranen in Absolutkoordinaten. Deutsches Patent- und Markenamt.
  - BibTeX
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  @patent{burkhardt2023datenbasiertes, anmeldenummer = {Nr. 10 2023 110 203.6}, author = {Burkhardt, Mark and Joachim, Lena and Gienger, Andreas and Haala, Norbert and Sörgel, Uwe and Sawodny, Oliver}, month = {04}, organization = {Deutsches Patent- und Markenamt}, title = {Datenbasiertes Korrektursystem für Lastpositionsfehler von automatisierten Turmdrehkranen in Absolutkoordinaten}, year = 2023 }
2. Kölle, M., Walter, V., Shiller, I., & Soergel, U. (2023). Efficient and Accurate Tree Detection from 3D Point Clouds through Paid Crowdsourcing. https://doi.org/10.48550/arXiv.2308.14499
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  @misc{kölle2023efficient, archiveprefix = {arXiv}, author = {Kölle, Michael and Walter, Volker and Shiller, Ivan and Soergel, Uwe}, doi = {10.48550/arXiv.2308.14499}, eprint = {2308.14499}, primaryclass = {cs.IR}, title = {Efficient and Accurate Tree Detection from 3D Point Clouds through Paid Crowdsourcing}, url = {https://doi.org/10.48550/arXiv.2308.14499}, year = 2023 }
2022
1. Ackermann, S., & Joachim, L. (2022). Simulation und Auswertung eines photogrammetrischen Bildverbandes aus Krankamerabildern. 42. Wissenschaftlich-Technische Jahrestagung Der DGPF, 297–303. https://doi.org/10.24407/KXP:1796047422
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  @inproceedings{ackermann2022simulation, author = {Ackermann, Sylvia and Joachim, Lena}, booktitle = { 42. Wissenschaftlich-Technische Jahrestagung der DGPF}, doi = {https://doi.org/10.24407/KXP:1796047422}, month = {10}, pages = {297-303}, publisher = {Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V.}, title = {Simulation und Auswertung eines photogrammetrischen Bildverbandes aus Krankamerabildern}, year = 2022 }
2021
1. Joachim, L., Ackermann, S., Haala, N., & Soergel, U. (2021). Using Crane Cameras for Workspace Mapping and Monitoring for an Autonomous Tower Crane. Proceedings of the 7th International Conference on Machine Control & Guidance, 47–53. http://mobilearbeitsmaschine.de/downloads.html?file=files/MCG2021/MCG2021_Conference%20Proceedings_Web.pdf
  - BibTeX
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  @inproceedings{joachim2021using, author = {Joachim, Lena and Ackermann, Sylvia and Haala, Norbert and Soergel, Uwe}, booktitle = {Proceedings of the 7th International Conference on Machine Control & Guidance}, isbn = {978-3-00-071292-0}, month = {11}, pages = {47-53}, title = {Using Crane Cameras for Workspace Mapping and Monitoring for an Autonomous Tower Crane}, url = {http://mobilearbeitsmaschine.de/downloads.html?file=files/MCG2021/MCG2021_Conference%20Proceedings_Web.pdf}, year = 2021 }

Prof. Dr.-Ing. habil. Dr. h.c. Oliver Sawodny

Board of Directors

Phone: +49 711 685 66302

E-Mail

Prof. Dr.-Ing. Uwe Sörgel

Principal Investigator

Phone: +49 711 685 83336

E-Mail

Cyber-Physical Construction Platform

CYBER-PHYSICAL CONSTRUCTION PLATFORM

PRINCIPAL INVESTIGATORS

TEAM

PEER-REVIEWED PUBLICATIONS

2024

BibTeX

2023

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2022

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2021

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OTHER PUBLICATIONS

2023

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2022

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2021

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Prof. Dr.-Ing. habil. Dr. h.c. Oliver Sawodny

Prof. Dr.-Ing. Uwe Sörgel

Audience

Formalities

Services

Organization

Cyber-Physical Construction Platform

CYBER-PHYSICAL CONSTRUCTION PLATFORM

PRINCIPAL INVESTIGATORS

TEAM

PEER-REVIEWED PUBLICATIONS

2024

BibTeX

2023

BibTeX

BibTeX

BibTeX

BibTeX

BibTeX

BibTeX

BibTeX

2022

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BibTeX

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BibTeX

2021

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OTHER PUBLICATIONS

2023

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2022

BibTeX

2021

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Prof. Dr.-Ing. habil. Dr. h.c. Oliver Sawodny

Prof. Dr.-Ing. Uwe Sörgel

Cluster of Excellence IntCDC

Audience

Formalities

Services

Organization