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Preprints

2024
  1. B. Alt et al., ‘Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming’, in European Robotics Forum 2024, Rimini, Italy, Dec. 2023. doi: 10.48550/arXiv.2312.13905.

Conference Papers

2023
  1. B. Alt, F. K. Kenfack, A. Haidu, D. Katic, R. Jäkel, and M. Beetz, ‘Knowledge-Driven Robot Program Synthesis from Human VR Demonstrations’, in Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, Rhodes, Greece: IJCAI, Sep. 2023, pp. 34–43. [Online]. Available: https://doi.org/10.24963/kr.2023/4
  2. F. Stöckl et al., ‘Autonomous Surface Grinding of Wind Turbine Blades’, in Proceedings of the 18th International Conference on Intelligent Autonomous Systems, IAS Society, Ed., in Lecture Notes in Networks and Systems. Suwon, Korea: IAS Society, Jul. 2023.
  3. J. Raible et al., ‘Artificial Neural Network Guided Compensation of Nonlinear Payload and Wear Effects for Industrial Robots’, in 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), Aug. 2023, pp. 1–8. doi: 10.1109/CASE56687.2023.10260559.
  4. B. Alt et al., ‘EfficientPPS: Part-aware Panoptic Segmentation of Transparent Objects for Robotic Manipulation’, in ISR Europe 2023, Stuttgart, Germany: VDE Verlag, Sep. 2023. [Online]. Available: https://www.vde-verlag.de/proceedings-en/456140019.html
2022
  1. B. Alt, D. Katic, R. Jäkel, and M. Beetz, ‘Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments’, in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022, pp. 8887–8893. doi: 10.1109/IROS47612.2022.9982093.
  2. B. Alt et al., ‘LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes’, in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022, pp. 5265–5270. doi: 10.1109/IROS47612.2022.9981178.
2021
  1. B. Alt, D. Katic, R. Jäkel, A. K. Bozcuoglu, and M. Beetz, ‘Robot Program Parameter Inference via Differentiable Shadow Program Inversion’, in 2021 IEEE International Conference on Robotics and Automation (ICRA), May 2021, pp. 4672–4678. doi: 10.1109/ICRA48506.2021.9561206.
2020
  1. 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
2019
  1. 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
  2. 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.
  3. 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.

Book Chapters

2022
  1. 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.
2020
  1. 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

Workshops

2021
  1. 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

Invited Talks

2023
  1. D. Katic, “Data-Driven Programming Assistants for industrial Robotics / Datengetriebene Programmierassistenten für die industrielle Robotik”, presented at the 4th AI Congress “Smarte Maschinen im Einsatz”, Fraunhofer IPA, Stuttgart, Nov. 30, 2023.
  2. D. Katic, “Die Künstliche Intelligenz und mein Arbeitsplatz”, KIT Science Week, Karlsruhe, Oct. 11, 2023.
  3. B. Alt, “Intelligente Programmierassistenten für die industrielle Robotik – künstliche Intelligenz nutzbar machen”, “Revolution in der Robotik – Lösungen aus Baden-Württemberg”, VDMA, online, Aug. 13, 2023.
2022
  1. B. Alt, “Knowledge Representation and Reasoning in Industrial Robotics”, presented at the EASE Fall School, Sep. 23, 2022.
2021
  1. D. Katic, “MEDICA Health IT Forum: Smart Robotics – Tech Talk”, presented at the MEDICA / COPAMED 2021, Düsseldorf, Nov. 16, 2021.
  2. B. Alt, “Cross-Platform Sensor-Enabled Industrial Robot Programming and Control”, presented at the EASE Fall School, Nov. 12, 2021.
  3. 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.
  4. D. Katic, “Sensor-based Robot Projects: Innovative Opportunities and Solutions for Demanding Robotic Applications”, presented at the Dresden Robotics Festival, Dresden, Sep. 17, 2021.