@article{KallweitKaminskyRossietal.2005, author = {Kallweit, Stephan and Kaminsky, R. and Rossi, M. and Morbiducci, U.}, title = {2D PIV Study of the flow downstream : Two prototypes of a ney monoleaflet artificial aortic heart valve prosthesis / Kaminsky, R. ; Kramm, K. ; Weber, H. J. ; Simons, A. P. ; Kallweit, S. ; Verdonck, P. R.}, series = {The International Journal of Artificial Organs. 28 (2005), H. 9}, journal = {The International Journal of Artificial Organs. 28 (2005), H. 9}, isbn = {1724-6040}, pages = {921}, year = {2005}, language = {en} } @article{KallweitKaminskyRossietal.2005, author = {Kallweit, Stephan and Kaminsky, R. and Rossi, M. and Morbiducci, U.}, title = {3D PIV measurements of prosthetic heart valve dynamics / Kaminsky, R. ; Rossi, M. ; Morbiducci, U. ; Scalise, L. ; Castellini, P. ; Kallweit, S. ; Verdonck, P. ; Grigioni, M.}, series = {The International Journal of Artificial Organs. 28 (2005), H. 9}, journal = {The International Journal of Artificial Organs. 28 (2005), H. 9}, isbn = {1724-6040}, pages = {868}, year = {2005}, language = {en} } @article{EngemannCoenenDawaretal.2021, author = {Engemann, Heiko and C{\"o}nen, Patrick and Dawar, Harshal and Du, Shengzhi and Kallweit, Stephan}, title = {A robot-assisted large-scale inspection of wind turbine blades in manufacturing using an autonomous mobile manipulator}, series = {Applied Sciences}, volume = {11}, journal = {Applied Sciences}, number = {19}, publisher = {MDPI}, address = {Basel}, issn = {2076-3417}, doi = {10.3390/app11199271}, pages = {1 -- 22}, year = {2021}, abstract = {Wind energy represents the dominant share of renewable energies. The rotor blades of a wind turbine are typically made from composite material, which withstands high forces during rotation. The huge dimensions of the rotor blades complicate the inspection processes in manufacturing. The automation of inspection processes has a great potential to increase the overall productivity and to create a consistent reliable database for each individual rotor blade. The focus of this paper is set on the process of rotor blade inspection automation by utilizing an autonomous mobile manipulator. The main innovations include a novel path planning strategy for zone-based navigation, which enables an intuitive right-hand or left-hand driving behavior in a shared human-robot workspace. In addition, we introduce a new method for surface orthogonal motion planning in connection with large-scale structures. An overall execution strategy controls the navigation and manipulation processes of the long-running inspection task. The implemented concepts are evaluated in simulation and applied in a real-use case including the tip of a rotor blade form.}, language = {en} } @inproceedings{KallweitTedjasukmanaKorculanin2013, author = {Kallweit, Stephan and Tedjasukmana, O. and Korculanin, O.}, title = {Adaption und Implementierung eines 3D-PIV Algorithmus auf massiv paralleler Hardware}, series = {Lasermethoden in der Str{\"o}mungsmesstechnik : 21. Fachtagung, 3. - 5. September 2013, M{\"u}nchen}, booktitle = {Lasermethoden in der Str{\"o}mungsmesstechnik : 21. Fachtagung, 3. - 5. September 2013, M{\"u}nchen}, editor = {K{\"a}hler, Christian J.}, publisher = {GALA}, address = {Karlsruhe}, isbn = {978-3-9805613-9-6}, pages = {Sitzung 4, Vortrag 16}, year = {2013}, language = {de} } @article{KallweitAbromeitDuesetal.1994, author = {Kallweit, Stephan and Abromeit, W. and Dues, M. and Siekmann, H.}, title = {Anwendung der LDA zur Untersuchung der instation{\"a}ren Str{\"o}mung im Nachleitrad einer axialen Kreiselpumpenstufe / Abromeit, W. ; Dues, M. ; Siekmann, H. ; Kallweit, S.}, series = {Lasermethoden in der Str{\"o}mungsmesstechnik, 3. Fachtagung der Deutschen Gesellschaft f{\"u}r Laser-Anemometrie (GALA), Bremen, DE, 5.-7. Sep, 1994}, journal = {Lasermethoden in der Str{\"o}mungsmesstechnik, 3. Fachtagung der Deutschen Gesellschaft f{\"u}r Laser-Anemometrie (GALA), Bremen, DE, 5.-7. Sep, 1994}, publisher = {Shaker}, address = {Aachen}, isbn = {3-8265-0162-4}, pages = {27.1 -- 27.6}, year = {1994}, language = {de} } @article{KallweitEbingerDuesetal.1993, author = {Kallweit, Stephan and Ebinger, G. and Dues, M. and Siekmann, H.}, title = {Anwendung des Laserlichtschnitt-Verfahrens zur qualitativen Untersuchung der Durchstr{\"o}mung von Kreiselpumpen / Ebinger, G. ; Kallweit, S. ; Dues, M. ; Siekmann, H.}, series = {Lasermethoden in der Str{\"o}mungsmesstechnik, 2. Fachtagung der Deutschen Gesellschaft f{\"u}r Laser-Anemometrie (GALA), PTB Braunschweig, DE, 14.-16. Sep, 1993}, journal = {Lasermethoden in der Str{\"o}mungsmesstechnik, 2. Fachtagung der Deutschen Gesellschaft f{\"u}r Laser-Anemometrie (GALA), PTB Braunschweig, DE, 14.-16. Sep, 1993}, publisher = {Shaker}, address = {Aachen}, isbn = {3-86111-595-6}, pages = {37.1 -- 37.4}, year = {1993}, language = {de} } @inproceedings{EngemannWiesenKallweitetal.2018, author = {Engemann, Heiko and Wiesen, Patrick and Kallweit, Stephan and Deshpande, Harshavardhan and Schleupen, Josef}, title = {Autonomous mobile manipulation using ROS}, series = {Advances in Service and Industrial Robotics}, booktitle = {Advances in Service and Industrial Robotics}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-61276-8}, doi = {10.1007/978-3-319-61276-8_43}, pages = {389 -- 401}, year = {2018}, language = {en} } @incollection{EngemannDuKallweitetal.2020, author = {Engemann, Heiko and Du, Shengzhi and Kallweit, Stephan and Ning, Chuanfang and Anwar, Saqib}, title = {AutoSynPose: Automatic Generation of Synthetic Datasets for 6D Object Pose Estimation}, series = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020}, booktitle = {Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020}, publisher = {IOS Press}, address = {Amsterdam}, isbn = {978-1-64368-137-5}, doi = {10.3233/FAIA200770}, pages = {89 -- 97}, year = {2020}, abstract = {We present an automated pipeline for the generation of synthetic datasets for six-dimension (6D) object pose estimation. Therefore, a completely automated generation process based on predefined settings is developed, which enables the user to create large datasets with a minimum of interaction and which is feasible for applications with a high object variance. The pipeline is based on the Unreal 4 (UE4) game engine and provides a high variation for domain randomization, such as object appearance, ambient lighting, camera-object transformation and distractor density. In addition to the object pose and bounding box, the metadata includes all randomization parameters, which enables further studies on randomization parameter tuning. The developed workflow is adaptable to other 3D objects and UE4 environments. An exemplary dataset is provided including five objects of the Yale-CMU-Berkeley (YCB) object set. The datasets consist of 6 million subsegments using 97 rendering locations in 12 different UE4 environments. Each dataset subsegment includes one RGB image, one depth image and one class segmentation image at pixel-level.}, language = {en} } @article{FrankoDuKallweitetal.2020, author = {Franko, Josef and Du, Shengzhi and Kallweit, Stephan and Duelberg, Enno Sebastian and Engemann, Heiko}, title = {Design of a Multi-Robot System for Wind Turbine Maintenance}, series = {Energies}, volume = {13}, journal = {Energies}, number = {10}, publisher = {MDPI}, address = {Basel}, issn = {1996-1073}, doi = {10.3390/en13102552}, pages = {Article 2552}, year = {2020}, abstract = {The maintenance of wind turbines is of growing importance considering the transition to renewable energy. This paper presents a multi-robot-approach for automated wind turbine maintenance including a novel climbing robot. Currently, wind turbine maintenance remains a manual task, which is monotonous, dangerous, and also physically demanding due to the large scale of wind turbines. Technical climbers are required to work at significant heights, even in bad weather conditions. Furthermore, a skilled labor force with sufficient knowledge in repairing fiber composite material is rare. Autonomous mobile systems enable the digitization of the maintenance process. They can be designed for weather-independent operations. This work contributes to the development and experimental validation of a maintenance system consisting of multiple robotic platforms for a variety of tasks, such as wind turbine tower and rotor blade service. In this work, multicopters with vision and LiDAR sensors for global inspection are used to guide slower climbing robots. Light-weight magnetic climbers with surface contact were used to analyze structure parts with non-destructive inspection methods and to locally repair smaller defects. Localization was enabled by adapting odometry for conical-shaped surfaces considering additional navigation sensors. Magnets were suitable for steel towers to clamp onto the surface. A friction-based climbing ring robot (SMART— Scanning, Monitoring, Analyzing, Repair and Transportation) completed the set-up for higher payload. The maintenance period could be extended by using weather-proofed maintenance robots. The multi-robot-system was running the Robot Operating System (ROS). Additionally, first steps towards machine learning would enable maintenance staff to use pattern classification for fault diagnosis in order to operate safely from the ground in the future.}, language = {en} } @inproceedings{HartmannKallweitFeldusenetal.2012, author = {Hartmann, Axel and Kallweit, Stephan and Feldusen, Antje and Schr{\"o}der, Wolfgang}, title = {Detection of upstream propagating sound waves at buffet flow using high-speed PIV}, pages = {14 S. : graph. Darst.}, year = {2012}, language = {en} }