Publications

Conference Papers

B. Alt, D. Katic, R. Jäkel, and M. Beetz, ‘Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments’, presented at the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, Jul. 2022. doi: 10.48550/arXiv.2207.07524. [Online]. Available: https://arxiv.org/abs/2207.07524
B. Alt et al., ‘LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes’, presented at the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, Jul. 2022. doi: 10.48550/arXiv.2207.07418. [Online]. Available: https://arxiv.org/abs/2207.07418

B. Alt, D. Katic, R. Jäkel, A. K. Bozcuoglu, and M. Beetz, ‘Robot Program Parameter Inference via Differentiable Shadow Program Inversion’, presented at the 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China, 2021. [Online]. Available: https://benjaminalt.github.io/assets/pdf/spi_ICRA21.pdf

B. Alt et al., ‘Modulare, datengetriebene Roboterprogrammierung für die Lösung komplexer Handhabungsaufgaben in Alltagsumgebungen’, in AAL-Kongress 2020, Berlin, 2020, pp. 17–22. [Online]. Available: http://publica.fraunhofer.de/documents/N-608626.html

F. Jordan et al., ‘Auslegung von Assistenzfunktionen für die robotische Unterstützung älterer Menschen am Esstisch unter Berücksichtigung ethischer und sicherheitstechnischer Randbedingungen’, in Zukunft der Pflege, Berlin, 2019, pp. 57–58. [Online]. Available: http://publica.fraunhofer.de/documents/N-581200.html
O. Rettig, S. Müller, M. Strand, and D. Katic, ‘Unsupervised Hump Detection for Mobile Robots Based On Kinematic Measurements and Deep-Learning Based Autoencoder’, in Intelligent Autonomous Systems 15, Cham, 2019, pp. 99–110. doi: 10.1007/978-3-030-01370-7_9.
O. Rettig, S. Müller, M. Strand, and D. Katic, ‘Which deep artifical neural network architecture to use for anomaly detection in Mobile Robots kinematic data?’, in Machine Learning for Cyber Physical Systems, Berlin, Heidelberg, 2019, pp. 58–65. doi: 10.1007/978-3-662-58485-9_7.

L. Kluy et al., ‘Mensch-Roboter-Kollaboration in KMU – Potenziale identifizieren, analysieren und realisieren’, in Digitalisierung der Arbeitswelt im Mittelstand 1: Ergebnisse und Best Practice des BMBF-Forschungsschwerpunkts ‘Zukunft der Arbeit: Mittelstand – innovativ und sozial’, V. Nitsch, C. Brandl, R. Häußling, J. Lemm, T. Gries, and B. Schmenk, Eds. Berlin, Heidelberg: Springer, 2022, pp. 55–97. doi: 10.1007/978-3-662-64803-2_3.

B. Graf et al., ‘RoPHa – Robuste Wahrnehmungsfähigkeiten für Roboter zur Unterstützung älterer Nutzer im häuslichen Umfeld’, in Autonome Roboter für Assistenzfunktionen, Dortmund: Bundesanstalt für Arbeitsschutz und Arbeitsmedizin, 2020, pp. 118–133. [Online]. Available: http://publica.fraunhofer.de/documents/N-618329.html

S. Dittus, B. Alt, A. Hermann, D. Katic, R. Jäkel, and J. Fleischer, ‘Localization and Tracking of User-Defined Points on Deformable Objects for Robotic Manipulation’, presented at the IEEE ICRA Workshop on Representing and Manipulating Deformable Objects, Xi’an, China, May 2021. Accessed: Jun. 02, 2021. [Online]. Available: http://arxiv.org/abs/2105.09067

B. Alt, ‘Knowledge Representation and Reasoning in Industrial Robotics’, presented at the EASE Fall School, Sep. 23, 2022.

D. Katic, ‘MEDICA Health IT Forum: Smart Robotics – Tech Talk’, presented at the MEDICA / COPAMED 2021, Düsseldorf, Nov. 16, 2021.
B. Alt, ‘Cross-Platform Sensor-Enabled Industrial Robot Programming and Control’, presented at the EASE Fall School, Nov. 12, 2021.
B. Alt, ‘Sensor-based Robot Projects: Innovative Opportunities and Solutions for Demanding Robotic Applications’, presented at the bwcon SIG Robotics, Hochschule Karlsruhe, Sep. 17, 2021.
D. Katic, ‘Sensor-based Robot Projects: Innovative Opportunities and Solutions for Demanding Robotic Applications’, presented at the Dresden Robotics Festival, Dresden, Sep. 17, 2021.