Publikationen

2021

Miller E, Borysenko V, Heusinger M, Niedner N, Engelmann B, Schmitt J. Enhanced Changeover Detection in Industry 4.0 Environments with Machine Learning. Sensors. 2021; 21(17):5896. doi.org/10.3390/s21175896

L. Fichtel, A. M. Frühwald, L. Hösch, V. Schreibmann, C. Bachmeir and F. Bohlander, "Tree Localization and Monitoring on Autonomous Drones employing Deep Learning," 2021 29th Conference of Open Innovations Association (FRUCT), 2021, pp. 132-140, doi: 10.23919/FRUCT52173.2021.9435549.

Scherdel C, Miller E, Reichenauer G, Schmitt J. Advances in the Development of Sol-Gel Materials Combining Small-Angle X-ray Scattering (SAXS) and Machine Learning (ML). Processes. 2021; 9(4):672. https://doi.org/10.1016/j.procir.2021.01.163

Schmitt, J., Hillenbrand A., Kranz, P., Kaupp T. (2021). Assisted Human-Robot-Interaction for Industrial Assembly: Application of Spatial Augmented Reality (SAR) for Collaborative Assembly Tasks. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI '21 Companion). Association for Computing Machinery, New York, NY, USA, 52–56. https://doi.org/10.1145/3434074.3447127

Ochs, D., Wehnert, K.K., Hartmann, J., Schiffler, A., Schmitt, J., 2021. Sustainable Aspects of a Metal Printing Process Chain with Laser Powder Bed Fusion (LPBF). Procedia CIRP 98, 613–618. https://doi.org/10.1016/j.procir.2021.01.163

Schuster, F., Engelmann, B., Sponholz, U., Schmitt, J., & Engineering, I. D. (2021). Human acceptance evaluation of AR-assisted assembly scenarios. Journal of Manufacturing Systems. https://doi.org/10.1016/j.jmsy.2020.12.012

Engelmann, B., Schmitt, J. (2021). Industrie 4.0 für Studierende des Wirtschaftsingeneierwesens. In L. Lehmann, D. Engelhardt, W. Wilke (Hrsg), Band zur Digitalkompetenz-Tagung (S. 259-274). Berlin: Springer Nature.

Hofmann, J., Fischer, S., Waschik, M., Bräutigam, V. (2021). Agile Lehre für eine interaktive Gründungskultur. In L. Lehmann, D. Engelhardt, W. Wilke (Hrsg), Band zur Digitalkompetenz-Tagung (S. 259-274). Berlin: Springer Nature.

Spiess, F., Reinhart, L., Kaiser, D., Strobel, N., Kounev, S., Kaupp, T. (2021). People Detection with depth silhouettes and convolutional neural networks on a mobile robot. 7th International Conference on Mechatronics and Robotics Engineering (ICMRE 2021), Feb 3-5, 2021, Budapest, Hungary.

Waschik, M., Bräutigam, V. (2021). Storytelling mit den Händen. Unternehmerisches Denken und Handeln mit LEGO® Serious Play® greifbar machen.  In L. Lehmann, D. Engelhardt, W. Wilke (Hrsg), Band zur Digitalkompetenz-Tagung (S. 359-371). Berlin: Springer Nature.

Wehnert, K.K., Ochs, D., Schmitt, J., Hartmann, J., Schiffler, A., 2021. Reducing Lifecycle Costs due to Profile Scanning of the Powder Bed in Metal Printing. Procedia CIRP 98, 684–689. https://doi.org/10.1016/j.procir.2021.01.175

 Wehnert, K.K., Schäfer, S., Schmitt, Jan, Schiffler, Andreas. (2021). Application of Laser Line Scanners for Quality Control during Selective Laser Melting (SLM). 10.5162/SMSI2021/C7.4

2020

Hösch, L., Arndt, M., Fichtel L., Frühwald, A. M., Schreibmann, V. , Schmiedl, H., Schütz, A., Bachmeir, C.: Towards a comprehensive attack framework against commercial and private UAV. Proceedings of the International Conference on Applied Informatics Imagination, Creativity, Design, Development - ICDD 2020

Frühwald, A. M., Kastner S., Schmitt, A.-M., Haas, S., Hösch, L., Fichtel, L., Bachmeir, C.: Towards an Industrial Recommendation System for Quality Improvement: Comparison of Python and C++ Implementations in an Edge- and Cloud Computing Environment. Proceedings of the International Conference on Applied Informatics Imagination, Creativity, Design, Development - ICDD 2020

Engelmann, B.; Schmitt, S.; Miller, E.; Bräutigam, V.; Schmitt, J. Advances in Machine Learning Detecting Changeover Processes in Cyber Physical Production Systems. J. Manuf. Mater. Process. 2020, 4, 108. https://doi.org/10.3390/jmmp4040108

Gattullo, M., Dammacco, L., Francesca Ruospo, F., Evangelista, A., Fiorentino, M., Schmitt, J., Uva, A.-E. (2020). Design preferences on Industrial Augmented Reality: a survey with potential technical writers. IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Nov. 2020. 10.1109/ISMAR-Adjunct51615.2020.00054

Schuster, F., Sponholz, U., Engelmann, B., Schmitt, J. (2020). A User Study on AR-assisted Industrial Assembly. IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Nov. 2020. 10.1109/ISMAR-Adjunct51615.2020.00047

Spiess, F., Friesslich, J., Kaupp, T., Kounev, S., & Strobel, N. (2020). Survey and Experimental Comparison of RGB-D Indoor Robot Navigation Methods supported by ROS and their Expansion via Fusion with Wheel Odometry and IMU Data. International Journal of Mechanical Engineering and Robotics Research (IJMERR), vol. 9, no. 12, pp. 1532-1540, December 2020.

Wilhelm, M., Manghisi, V. M., Uva, A., Fiorentino, M., Bräutigam, V., Engelmann, B., Schmitt, J. (2020). ErgoTakt: A Novel Approach of Human-Centered Balancing of Manual Assembly Lines. Procedia Cirp, 8th CIRP Conference of Assembly Technology and Systems, Volume 97, 2020, pp. 354-360, ISSN 2212-8271, doi.org/10.1016/j.procir.2020.05.250

Zipf, M., Manara, J., Stark, T., Arduini, M., Ebert, H. P. & Hartmann, J. (2020). Identification of wavelength regions for non-contact temperature measurement of combustion gases at high temperatures and high pressures, High Temp. - High Press, 49(3), 241-260. 10.32908/hthp.v49.805

2019

Dzemko, M., Engelmann, B., Hartmann, J., & Schmitt, J. (2019). Towards Shifted Production Strategies Through Additive Manufacturing: A Technology and Market Review for Changing Value Chains. Procedia CIRP, 86, 228-233. https://doi.org/10.1016/j.procir.2020.01.029

Hartmann, J., Knopp, K., Lenski, P., Zänglein, M., Manara, J., Stark, T., Zipf, M., Arduini, M., Schreiber, E., Krüger, U. & Brunner, M. (2019). Optische Sensorik für die additive Fertigung, 4SMARTS 2019, 105-116 (2019). ISBN 978-3-8440-6425-4

Lutz, B., Kisskalt, D., Regulin, D., Reisch, R., Schiffler, A., & Franke, J. (2019). Evaluation of Deep Learning for Semantic Image Segmentation in Tool Condition Monitoring. International Conference on Machine Learning and Applications (ICMLA-2019), 2007–2012. ieeexplore.ieee.org

Schmitt, J., & Bremer, P. (2019). Towards Position-Based Technologies for Digitized Process Management on the Shop-Floor. In: Proceedings of the International Symposium on Logistics (p. 115). Würzburg. isl21.org

Schmitt, P., Schmitt, J., & Engelmann, B. (2019). Evaluation of proceedings for SMEs to conduct I4.0 projects. Procedia CIRP, 86, 257-263. doi.org/10.1016/j.procir.2020.01.007

Publikationen

Bräutigam, V., Pauli, P., Wienrich, C., Rosilius, M., Wilhelm, M., von Eitzen, I., Pfeuffer, K., & Lotzen, M. (2020).  Einsatz immersiver Assistenzsysteme bei operativen (Planungs-)Prozessen. Automation Software Engineering Kongress, 18. Nov. 2020.