Publications

Find Scientific publications related to activities of the FELICE project. All FELICE publications are listed in the FELICE ZENODO community as well.

Book Chapters

• Akkaladevi, S. C., Propst, M., Hofmann, M., Hiesmair, L., Ikeda, M., Chitturi, N. C., & Pichler, A. (2021), Programming-Free Approaches for Human–Robot Collaboration in Assembly Tasks. In: Advanced Human-Robot Collaboration in Manufacturing (pp. 283–317). Springer International Publishing
  • DOI: https://doi.org/10.1007/978-3-030-69178-3_12
  • Link: https://link.springer.com/chapter/10.1007%2F978-3-030-69178-3_12

Journal Papers

• Baratta, A., Cimino, A., Longo, F., & Nicoletti, L. (2024). Digital twin for human-robot collaboration enhancement in manufacturing systems: Literature review and direction for future developments. In Computers & Industrial Engineering (Vol. 187, p. 109764). Elsevier BV.
  • DOI: https://doi.org/10.1016/j.cie.2023.109764

• Metzler, Y., Renker, J., Zickerick, B., Dreger, F., Karthaus, M., & Rinkenauer, G. (2023). KI-koordinierte Kollaboration zwischen Mensch und Roboter. In Zeitschrift für wirtschaftlichen Fabrikbetrieb (Vol. 118, Issue 10, pp. 682–687). Walter de Gruyter GmbH.
  • DOI: https://doi.org/10.1515/zwf-2023-1127

• S. Bini, G. Percannella, A. Saggese, M. Vento, (2023). A multi-task network for speaker and command recognition in industrial environments, in: Pattern Recognition Letters (Volume 176, pp. 62-68, 0167-8655).
  • DOI: https://doi.org/10.1016/j.patrec.2023.10.022

• Kostopoulos, N., Kalogeras, D., Pantazatos, D., Grammatikou, M., & Maglaris, V. (2023). SHAP Interpretations of Tree and Neural Network DNS Classifiers for Analyzing DGA Family Characteristics. In: IEEE Access (Vol. 11, pp. 61144–61160). Institute of Electrical and Electronics Engineers (IEEE). 
  • DOI: https://doi.org/10.1109/access.2023.3286313

• Papadaki, A., & Pateraki, M. (2023). 6D Object Localization in Car-Assembly Industrial Environment. In Journal of Imaging (Vol. 9, Issue 3, p. 72). MDPI AG.
  • DOI: https://doi.org/10.3390/jimaging9030072
  • Link: https://www.mdpi.com/2313-433X/9/3/72

• Eßer, J., Bach, N., Jestel, C., Urbann, O., & Kerner, S. (2022), Guided Reinforcement Learning – A Review and Evaluation for Efficient and Effective Real-World Robotics. In: IEEE Robotics and Automation Magazine (pp. 2–22).
  • DOI: https://doi.org/10.1109/mra.2022.3207664

• Papoutsakis, K., Papadopoulos, G., Maniadakis, M., Papadopoulos, T., Lourakis, M., Pateraki, M., & Varlamis, I. (2022), Detection of Physical Strain and Fatigue in Industrial Environments Using Visual and Non-Visual Low-Cost Sensors. In: Technologies (Vol. 10, Issue 2, p. 42). MDPI AG.
  • DOI: https://doi.org/10.3390/technologies10020042
  • Link: https://www.mdpi.com/2227-7080/10/2/42

Conference Papers

• Pätzold, M. (2024). Wirkungsanalyse einer adaptiven Höhen- und Neigungsanpassung großer Arbeitsobjekte in der manuellen Montage. In Dokumentation des 70. Arbeitswissenschaftlichen Kongresses. GfA-Press

• Baratta, A., Solina, V., Cimino, A., Gnoni, M. G., & Nicoletti, L. (2023). Human Robot Collaboration: an assessment and optimization methodology based on dynamic data exchange. In 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). IEEE.
  • DOI: https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188313

• Papadopoulos, G., & Maniadakis, M. (2023). Human-robot interaction: Assessing the ergonomics of tool handover. In Contemporary EHF 2023. Chartered Institute for Ergonomics and Human Factors.
  • DOI: https://zenodo.org/doi/10.5281/zenodo.10160386

• Hoose, S., Würtz, F., Kirks, T., & Jost, J. (2023). An Evaluation of Open Source Trajectory Planners for Robotic Manipulators with Focus on Human-Robot Collaboration. In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE.
  • DOI: https://doi.org/10.1109/case56687.2023.10260597

• Pateraki, M., Sapoutzoglou, P., & Lourakis, M. (2023). Crane Spreader Pose Estimation from a Single View. In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 18th International Conference on Computer Vision Theory and Applications. SCITEPRESS – Science and Technology Publications.
  • DOI: https://doi.org/10.5220/0011788800003417

• Pätzold, M. (2023). Adaptive Positionierung großer Arbeitsobjekte in der industriellen Montage zur Reduktion von physischen Belastungen. In: GfA-Press.
  • DOI: https://doi.org/10.26083/TUPRINTS-00023640

• Holzinger, F., & Beham, A. (2022). Multi-criteria Optimization of Workflow-Based Assembly Tasks in Manufacturing. In Computer Aided Systems Theory – EUROCAST 2022 (pp. 45–52). Springer Nature Switzerland.
  • DOI: https://doi.org/10.1007/978-3-031-25312-6_5

• Dimolianis, M., Kalogeras, D. K., Kostopoulos, N., & Maglaris, V. (2022). DDoS Attack Detection via Privacy-aware Federated Learning and Collaborative Mitigation in Multi-domain Cyber Infrastructures. In: 2022 IEEE 11th International Conference on Cloud Networking (CloudNet). IEEE.
  • DOI: https://doi.org/10.1109/cloudnet55617.2022.9978815

• Bini, S., Greco, A., Saggese, A., & Vento, M. (2022), Benchmarking deep neural networks for gesture recognition on embedded devices. In: 31st IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN). IEEE.
  • DOI: https://doi.org/10.1109/RO-MAN53752.2022.9900705
  • Link: https://ieeexplore.ieee.org/document/9900705

• Pratheepkumar, A., Hofmann, M., Ikeda, M., & Pichler, A. (2022), Domain Adaptation With Evolved Target Objects for AI Driven Grasping. In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE.
  • DOI: https://doi.org/10.1109/ETFA52439.2022.9921470
  • Link: https://ieeexplore.ieee.org/document/9921470

• Konstantinos Papoutsakis et al. (2022), sustAGE User Postures & Actions Monitoring dataset. In: Technologies. MDPI.
  • DOI: https://doi.org/10.5281/zenodo.7043787

• M. Lourakis and G. Terzakis, (2021) A Globally Optimal Method for the PnP Problem with MRP Rotation Parameterization. In: 2020 25th International Conference on Pattern Recognition (ICPR)
  • DOI: https://doi.org/10.1109/ICPR48806.2021.9412405
  • Link: https://ieeexplore.ieee.org/document/9412405

• J. Jost, T. Kirks, S. Chapman and G. Rinkenauer, “Keep Distance with a Smile – User Characteristics in Human-Robot Collaboration,” 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE
  • DOI: https://doi.org/10.1109/ETFA45728.2021.9613601
  • Link: https://ieeexplore.ieee.org/document/9613601

Conference Posters

• Frychel, M., Hoose, S., Jost, J., Gerken, J., & Kirks, T. (2022), A Concept for Three-Dimensional Proxemics in Human-Robot Collaboration. In: 13th International Conference on Applied Human Factors and Ergonomics (AHFE).
  • DOI: https://doi.org/10.5281/zenodo.7334671