Manuel Zürn

Herr M.Sc.

Wissenschaftlicher Mitarbeiter "Mechatronische Systeme und Prozesse"
Institut für Steuerungstechnik der Werkzeugmaschinen und Fertigungseinrichtungen

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+49 711 685 82423
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Seidenstr. 36
70174 Stuttgart
Deutschland
Raum: 5.096

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Publikationen

Meine Veröffentlichungen:

2024
1. Dietrich, David ; Zürn, Manuel ; Reiff, Colin ; Neubauer, Michael ; Lechler, Armin ; Verl, Alexander: Software-Defined Value Networks: Motivation, Approaches, and Research Activities. In: Bauernhansl, T. ; Verl, A. ; Liewald, M. ; Möhring, H.-C. (Hrsg.) ; Bauernhansl, T. ; Verl, A. ; Liewald, M. ; Möhring, H.-C. (Hrsg.): Production at the Leading Edge of Technology, Production at the Leading Edge of Technology. Cham : Springer Nature Switzerland, 2024 — ISBN 978-3-031-47394-4, S. 514–524
  - BibTeX
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  BibTeX
  @inproceedings{dietrich2024softwaredefined, address = {Cham}, author = {Dietrich, David and Zürn, Manuel and Reiff, Colin and Neubauer, Michael and Lechler, Armin and Verl, Alexander}, booktitle = {Production at the Leading Edge of Technology}, doi = {10.1007/978-3-031-47394-4_50}, editor = {Bauernhansl, Thomas and Verl, Alexander and Liewald, Mathias and Möhring, Hans-Christian}, isbn = {978-3-031-47394-4}, pages = {514-524}, publisher = {Springer Nature Switzerland}, title = {Software-Defined Value Networks: Motivation, Approaches, and Research Activities}, url = {https://doi.org/10.1007/978-3-031-47394-4_50}, year = 2024 }
  Link
  https://doi.org/10.1007/978-3-031-47394-4_50
2. Zürn, Manuel ; Dzubba, Marcel ; Reiff, Colin ; Ajdinovic, Samed ; Lechler, Armin ; Verl, Alexander: Cobot for Automated Vision Data: Streamlining Production with Automated Annotations for Machine Learning. In: 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2024, S. 1–6
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  @inproceedings{10468034, abstract = {Robotic vision tasks require a large amount of annotated data for effective training and performance. However, the manual creation of such datasets is a complex and time-consuming process. Particularly for smaller companies or those with high product variability, there is a need to optimise the resources dedicated to creating datasets for machine vision applications. This paper investigates novel ways to acquire annotated vision data through the integration of collaborative robots. Two methods are outlined to streamline the generation of annotated datasets. One of these methods is then used to construct a dataset tailored for 6D robotic gripping of an automotive connector. The effectiveness of automated annotated dataset generation is demonstrated by training a deep learning model to accurately estimate the orientation of the automotive connector.}, author = {Zürn, Manuel and Dzubba, Marcel and Reiff, Colin and Ajdinovic, Samed and Lechler, Armin and Verl, Alexander}, booktitle = {2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)}, doi = {10.1109/ACDSA59508.2024.10468034}, month = {02}, pages = {1-6}, title = {Cobot for Automated Vision Data: Streamlining Production with Automated Annotations for Machine Learning}, year = 2024 }
2023
1. Zürn, Manuel ; Wnuk, Markus ; Lechler, Armin ; Verl, Alexander: Topology Matching of Branched Deformable Linear Objects. In: 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023, S. 7097–7103
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  @inproceedings{10161483, abstract = {This paper presents a new method for correspondence estimation between a previously known topology of a branched deformable linear object and an image representation from a 3D stereo camera. Although frequently encountered in production, robotic deformable linear object manipulation still lacks reliable sensor feedback. Especially for branched deformable linear objects, such as wire harnesses, correspondence estimation is very challenging. Due to their flexible nature, they have an infinite-dimensional configuration space, such that visual appearances of the same object can vary strongly. Knowing the correspondence is vital for various applications, e.g., estimating valid grasping positions for robotic wire routing or augmented reality support for workers. Therefore, this paper presents a method for matching the topology of a branched deformable linear object to camera sensor data. Asymmetries in the wire harness design reduce the solution space by comparing the known topology of a model to the topology extracted from sensor data. The problem of finding the most likely solution to the matching problem requires features extracted from camera images. These features are used to construct a graph-based topology representation, which can then be matched to a graph-based topology representation of the known branched deformable linear object. The presented method is evaluated using multiple different non-overlapping configurations of a wire harness, showing the effectiveness of a graph-based segment matching approach.}, author = {Zürn, Manuel and Wnuk, Markus and Lechler, Armin and Verl, Alexander}, booktitle = {2023 IEEE International Conference on Robotics and Automation (ICRA)}, doi = {10.1109/ICRA48891.2023.10161483}, month = {05}, pages = {7097-7103}, title = {Topology Matching of Branched Deformable Linear Objects}, year = 2023 }
2. Wnuk, Markus ; Zürn, Manuel ; Paukner, Matthias ; Ulbrich, Sascha ; Lechler, Armin ; Verl, Alexander: Case Study on Localization for Robotic Wire Harness Installation. In: Kiefl, N. ; Wulle, F. ; Ackermann, C. ; Holder, D. (Hrsg.) ; Kiefl, N. ; Wulle, F. ; Ackermann, C. ; Holder, D. (Hrsg.): Advances in Automotive Production Technology -- Towards Software-Defined Manufacturing and Resilient Supply Chains, Advances in Automotive Production Technology -- Towards Software-Defined Manufacturing and Resilient Supply Chains. Cham : Springer International Publishing, 2023 — ISBN 978-3-031-27933-1, S. 333--343
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  @inproceedings{10.1007/978-3-031-27933-1_31, abstract = {Wire harness installation is one of the most challenging processing steps for automation in automotive production. Wire harnesses have an infinite number of degrees of freedom, such that they change their shape continuously during manipulation. As of today, the human's ability to perceive the wire harness and deal with its shape changes, is unmatched by any technical solution. Therefore, wire harnesses are still installed manually. This paper proposes a concept for wire harness localization and applies it for robotic wire harness installation. The concept uses two stereo cameras, one to perceive the shape of the wire harness and obtain rough position estimates of wire harness components, and a second for accurate 6D pose estimation of the individual components. The concept is evaluated with a case study on localization in a car chassis, where the accuracy and limitations of the concept are investigated by practical experiments.}, address = {Cham}, author = {Wnuk, Markus and Zürn, Manuel and Paukner, Matthias and Ulbrich, Sascha and Lechler, Armin and Verl, Alexander}, booktitle = {Advances in Automotive Production Technology -- Towards Software-Defined Manufacturing and Resilient Supply Chains}, editor = {Kiefl, Niklas and Wulle, Frederik and Ackermann, Clemens and Holder, Daniel}, isbn = {978-3-031-27933-1}, pages = {333--343}, publisher = {Springer International Publishing}, title = {Case Study on Localization for Robotic Wire Harness Installation}, year = 2023 }
3. Zürn, Manuel ; Kienzlen, Annika ; Klingel, Lars ; Lechler, Armin ; Verl, Alexander ; Ren, Shiyi ; Xu, Weiliang: Deep Learning-Based Instance Segmentation for Feature Extraction of Branched Deformable Linear Objects for Robotic Manipulation. In: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023, S. 1–6
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  @inproceedings{10260646, abstract = {Branched deformable linear objects, like wire harnesses, are vastly used in the electrical industry to interconnect multiple electronic components while allowing small relative motions. Their deformable nature gives them an infinite-dimensional configuration space, which is challenging for robotic manipulation and requires sensor feedback about the actual configuration. Cameras have been used before in automation attempts as sensor feedback of branched deformable linear objects. However, image processing is sensible to occlusions and unstructured environments. This paper presents a method of using deep learning-based instance segmentation networks to extract topological features like connectors, clips, branch points and overlapping points on the branched deformable linear object. The topological features originate from features that can be used for matching a stretched representation of the branched deformable linear object to its sensor representation. Our results show that the network is capable of extracting the features for different datasets with high accuracy. Furthermore, this paper evaluates the use of preliminary results in the training process to facilitate annotation by predicting the labels. For now, this paper only uses 2D images of the branched deformable linear objects. Future work will also use depth images, such that individual deformable linear object features, such as length or radius, can be extracted from the images. We anticipate the usage of wire harness automation with robotic manipulation, augmented reality support of the worker or quality control of wire harnesses.}, author = {Zürn, Manuel and Kienzlen, Annika and Klingel, Lars and Lechler, Armin and Verl, Alexander and Ren, Shiyi and Xu, Weiliang}, booktitle = {2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)}, doi = {10.1109/CASE56687.2023.10260646}, issn = {2161-8089}, month = {08}, pages = {1-6}, title = {Deep Learning-Based Instance Segmentation for Feature Extraction of Branched Deformable Linear Objects for Robotic Manipulation}, year = 2023 }
4. Zimmer, Manuela ; Bunz, Elsa K. ; Ehring, Tobias ; Kaiser, Benedikt ; Kienzlen, Annika ; Schlüter, Henning ; Zürn, Manuel: In vivo Assessment of Shear Wave Propagation in Pennate Muscles using an Automatic Ultrasound Probe Alignment System. In: IEEE Open Journal of Engineering in Medicine and Biology, IEEE Open Journal of Engineering in Medicine and Biology., Institute of Electrical and Electronics Engineers (IEEE) (2023)
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  @article{Zimmer_2023, author = {Zimmer, Manuela and Bunz, Elsa K. and Ehring, Tobias and Kaiser, Benedikt and Kienzlen, Annika and Schlüter, Henning and Zürn, Manuel}, doi = {10.1109/ojemb.2023.3338090}, issn = {2644-1276}, journal = {IEEE Open Journal of Engineering in Medicine and Biology}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, title = {In vivo Assessment of Shear Wave Propagation in Pennate Muscles using an Automatic Ultrasound Probe Alignment System}, url = {http://dx.doi.org/10.1109/OJEMB.2023.3338090}, year = 2023 }
  Link
  http://dx.doi.org/10.1109/OJEMB.2023.3338090
2022
1. Zürn, Manuel ; Wnuk, Markus ; Lechler, Armin ; Verl, Alexander: Software Architecture For Deformable Linear Object Manipulation: A Shape Manipulation Case Study. In: 2022 IEEE/ACM 4th International Workshop on Robotics Software Engineering (RoSE), 2022 IEEE/ACM 4th International Workshop on Robotics Software Engineering (RoSE), 2022, S. 9–16
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  @inproceedings{9814824, author = {Zürn, Manuel and Wnuk, Markus and Lechler, Armin and Verl, Alexander}, booktitle = {2022 IEEE/ACM 4th International Workshop on Robotics Software Engineering (RoSE)}, doi = {10.1145/3526071.3527520}, pages = {9-16}, title = {Software Architecture For Deformable Linear Object Manipulation: A Shape Manipulation Case Study}, year = 2022 }
2. Zürn, Manuel ; Wnuk, Markus ; Schneider, Anja ; Lechler, Armin ; Verl, Alexander: Localization and Tracking of Deformable Linear Objects with Self Organizing Maps. In: Proceedings of the 54th International Symposium on Robotics (ISR), Proceedings of the 54th International Symposium on Robotics (ISR), 2022, S. 17–25
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  @inproceedings{zurn2022localization, author = {Zürn, Manuel and Wnuk, Markus and Schneider, Anja and Lechler, Armin and Verl, Alexander}, booktitle = {Proceedings of the 54th International Symposium on Robotics (ISR)}, pages = {17-25}, title = {Localization and Tracking of Deformable Linear Objects with Self Organizing Maps}, year = 2022 }
2021
1. Wnuk, Markus ; Hinze, Christoph ; Zürn, Manuel ; Pan, Qizhen ; Lechler, Armin ; Verl, Alexander: Tracking Branched Deformable Linear Objects With Structure Preserved Registration by Branch-wise Probability Modification. In: 2021 IEEE 27th International Conference on Machatronics and Machine Vision in Practice, 2021 IEEE 27th International Conference on Machatronics and Machine Vision in Practice, 2021
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  @inproceedings{wnuk2021tracking, author = {Wnuk, Markus and Hinze, Christoph and Zürn, Manuel and Pan, Qizhen and Lechler, Armin and Verl, Alexander}, booktitle = {2021 IEEE 27th International Conference on Machatronics and Machine Vision in Practice}, month = {11}, title = {Tracking Branched Deformable Linear Objects With Structure Preserved Registration by Branch-wise Probability Modification}, year = 2021 }
2. Wnuk, Markus ; Zürn, Manuel ; Hinze, Christoph ; Lechler, Armin ; Verl, Alexander: Simulationsbasierter Beobachter für die Handhabungbiegeschlaffer Bauteile. In: antriebstechnik, antriebstechnik. (2021), Nr. 7, S. 38–42
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  @article{wnuk2021simulationsbasierter, author = {Wnuk, Markus and Zürn, Manuel and Hinze, Christoph and Lechler, Armin and Verl, Alexander}, journal = {antriebstechnik}, month = {07}, number = 7, pages = {38-42}, title = {Simulationsbasierter Beobachter für die Handhabungbiegeschlaffer Bauteile}, url = {https://digital.antriebstechnik.de/antriebstechnik-7-2021/65722079/38}, year = 2021 }
  Link
  https://digital.antriebstechnik.de/antriebstechnik-7-2021/65722079/38
3. Zürn, Manuel ; Wnuk, Markus ; Hinze, Christoph ; Lechler, Armin ; Verl, Alexander ; Xu, Weiliang: Kinematic Trajectory Following Control For Constrained Deformable Linear Objects. In: 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), 2021, S. 1701–1707
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  @inproceedings{9551613, abstract = {deformable linear objects (DLOs) such as hoses, cables or wires are often a limiting factor in robotic manipulation. For an industrial robot control, their nonlinear dynamics combined with their large variations in material parameters make it challenging to handle. Therefore, DLOs are usually manipulated manually in the industry, offering a huge potential for automation. This paper contributes to the field of robotic handling of DLOs by presenting and evaluating a novel model based controller and observer concept which is based on a multibody simulation. The presented closed-loop framework of a kinematic trajectory following controller with an online point cloud processing observer is first evaluated separately in the simulation and then in an experiment, showing its potential for cable routing scenarios.}, author = {Zürn, Manuel and Wnuk, Markus and Hinze, Christoph and Lechler, Armin and Verl, Alexander and Xu, Weiliang}, booktitle = {2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)}, doi = {10.1109/CASE49439.2021.9551613}, issn = {2161-8089}, month = {08}, pages = {1701-1707}, title = {Kinematic Trajectory Following Control For Constrained Deformable Linear Objects}, year = 2021 }
4. Zürn, Manuel ; Wnuk, Markus ; Lechler, Armin ; Steiler, Christian ; Paukner, Matthias ; Trommnau, Jerome ; Weiß, Bernd ; Minsch, Niklas ; u. a.: Leitungen automatisch im Kfz montieren. In: Industrial Production, Industrial Production. (2021), Nr. 7, S. 40–42
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  @article{zurn2021leitungen, author = {Zürn, Manuel and Wnuk, Markus and Lechler, Armin and Steiler, Christian and Paukner, Matthias and Trommnau, Jerome and Weiß, Bernd and Minsch, Niklas and Mittermeier, Manfred and Hessler, Uwe and Pollner, Roland}, journal = {Industrial Production}, number = 7, pages = {40-42}, title = {Leitungen automatisch im Kfz montieren}, url = {https://www.industrial-production.de/montagetechnik/leitungen-automatisch----im-kfz-montieren.htm}, year = 2021 }
  Link
  https://www.industrial-production.de/montagetechnik/leitungen-automatisch----im-kfz-montieren.htm
2020
1. Hinze, Christoph ; Wnuk, Markus ; Zürn, Manuel ; Lechler, Armin ; Verl, Alexander: Daten-integrierte Simulation. In: inVision, inVision. (2020)
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  @article{hinze2020datenintegrierte, author = {Hinze, Christoph and Wnuk, Markus and Zürn, Manuel and Lechler, Armin and Verl, Alexander}, journal = {inVision}, title = {Daten-integrierte Simulation}, url = {https://invision-news.de/allgemein/daten-integrierte-simulation-2/}, year = 2020 }
  Link
  https://invision-news.de/allgemein/daten-integrierte-simulation-2/
2. Hinze, Christoph ; Zürn, Manuel ; Wnuk, Markus ; Lechler, Armin ; Verl, Alexander: Nonlinear Trajectory Control for Deformable Linear Objects based on Physics Simulation. In: IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020, S. 310–316
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  @inproceedings{9254923, abstract = {The handling of deformable linear objects (DLOs), such as cables or hoses, with industrial robots is hardly industrially automated due to the underactuated material behavior. Increasing computing power and decreasing cost of processors over the last decades are now allowing the online computation of more complex handling processes. Within this paper, DLOs are approximated as a multibody chain with a finite number of degrees of freedom. Based on that model, a nonlinear, partially IO-linearizing controller is derived to control an underactuated end point on a trajectory when grasped by a robot arm at the other end. The controller is verified in simulation for high dynamics and shown to significantly reduce the tracking error. A practical evaluation finally shows the qualitative suitability of the multibody approximation and is used to validate the functionality of the controller in an open-loop experiment.}, author = {Hinze, Christoph and Zürn, Manuel and Wnuk, Markus and Lechler, Armin and Verl, Alexander}, booktitle = {IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society}, doi = {10.1109/IECON43393.2020.9254923}, issn = {2577-1647}, month = {10}, pages = {310-316}, title = {Nonlinear Trajectory Control for Deformable Linear Objects based on Physics Simulation}, url = {https://ieeexplore.ieee.org/document/9254923/}, year = 2020 }
  Link
  https://ieeexplore.ieee.org/document/9254923/
3. Wnuk, Markus ; Hinze, Christoph ; Zürn, Manuel ; Lechler, Armin ; Verl, Alexander: Roboterdemonstrator kombiniert Simulation und Bildverarbeitung. In: Robotik und Produktion, Robotik und Produktion. (2020), Nr. 3
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  @article{wnuk2020roboterdemonstrator, author = {Wnuk, Markus and Hinze, Christoph and Zürn, Manuel and Lechler, Armin and Verl, Alexander}, journal = {Robotik und Produktion}, number = 3, title = {Roboterdemonstrator kombiniert Simulation und Bildverarbeitung}, url = {https://www.robotik-produktion.de/allgemein/deformiert-kein-problem/}, year = 2020 }
  Link
  https://www.robotik-produktion.de/allgemein/deformiert-kein-problem/
4. Zürn, Manuel ; Hinze, Christoph ; Wnuk, Markus ; Lechler, Armin ; Verl, Alexander: Modellbasierte Regelung. In: Robotik und Produktion, Robotik und Produktion. (2020)
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  @article{zurn2020modellbasierte, author = {Zürn, Manuel and Hinze, Christoph and Wnuk, Markus and Lechler, Armin and Verl, Alexander}, journal = {Robotik und Produktion}, month = {11}, title = {Modellbasierte Regelung}, url = {https://www.industrial-production.de/industrieroboter/bilder/modellbasierte-regelung-1.htm}, year = 2020 }
  Link
  https://www.industrial-production.de/industrieroboter/bilder/modellbasierte-regelung-1.htm

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Manuel Zürn

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Manuel Zürn

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2023

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