Publications

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

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.

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

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

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 – Implikationen für Arbeitsgestaltung und Einführung in Organisationen. 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

Bini, S., Carletti, V., Saggese, A., & Vento, M. (2024). Robust speech command recognition in challenging industrial environments. In: Computer Communications (Vol. 228, p. 107938). Elsevier BV.

DOI: https://doi.org/10.1016/j.comcom.2024.107938

Cimino, A., Longo, F., Nicoletti, L., & Solina, V. (2024). Simulation-based Digital Twin for enhancing human-robot collaboration in assembly systems. In: Journal of Manufacturing Systems (Vol. 77, pp. 903–918). Elsevier BV.

DOI: https://doi.org/10.1016/j.jmsy.2024.10.024

Cimino, A., Longo, F., Nicoletti, L., & Solina, V. (2025). Combining simulation and virtual reality for enabling interoperable digital twins in collaborative human-robot workspaces. In: Journal of Manufacturing Systems (in print).

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).

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

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.

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.

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

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

Baratta, A., Cimino, A., Longo, F., Mirabelli, G., & Nicoletti, L. (2024). Task Allocation in Human-Robot Collaboration: A Simulation-based approach to optimize Operator’s Productivity and Ergonomics. In: Procedia Computer Science (Vol. 232, pp. 688–697). Elsevier BV.

DOI: https://doi.org/10.1016/j.procs.2024.01.068

Terzakis, G., & Lourakis, M. (2024). Efficient Pose Prediction with Rational Regression applied to vSLAM. In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 11970–11976). 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE.

DOI: https://doi.org/10.1109/icra57147.2024.10611457

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

Makka, A., Pateraki, M., Betsas, T., & Georgopoulos, A. (2024). 3D EDGE DETECTION BASED ON NORMAL VECTORS. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Vol. XLVIII-2/W4-2024 (pp. 295–300). Copernicus GmbH.

DOI: https://doi.org/10.5194/isprs-archives-xlviii-2-w4-2024-295-2024

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

Akkaladevi, S. C., Propst, M., Deshpande, K., Hofmann, M., & Pichler, A. (2024). Towards a Behavior Tree Based Robotic Skill Execution Framework for Human Robot Collaboration in Industrial Assembly. In 2024 10th International Conference on Automation, Robotics and Applications (ICARA) (pp. 18–22). 2024 10th International Conference on Automation, Robotics and Applications (ICARA). IEEE.

DOI: https://doi.org/10.1109/icara60736.2024.10553029

Dreger, F., Karthaus, M., Metzler, Y., Tauro, F., Carrelli, V., Athanassiou, G., & Rinkenauer, G. (2024). Requirements for Successful Human Robot Collaboration: Design Perspectives of Developers and Users in the Scope of the EU Horizon Project FELICE. In AHFE International. 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International.

DOI: https://doi.org/10.54941/ahfe1005008

Papoutsakis, K., Bakalos, N., Fragkoulis, K., Zacharia, A., Kapetadimitri, G., & Pateraki, M. (2024). A vision-based framework for human behavior understanding in industrial assembly lines. arXiv.

DOI: https://doi.org/10.48550/ARXIV.2409.17356

Terzakis, G., & Lourakis, M. (2024). Fast and Consistently Accurate Perspective-n-Line Pose Estimation. In: Lecture Notes in Computer Science (pp. 97–112). Springer Nature Switzerland.

DOI: https://doi.org/10.1007/978-3-031-78456-9_7

Akkaladevi, S. C., Propst, M., Deshpande, K., Hofmann, M., Pichler, A., Sapoutzoglou, P., Zacharia, A., Kalogeras, D., & Pateraki, M. (2024). Dynamic Adaptability in Human-Robot Collaboration for Industrial Assembly: A Behaviour Tree Based Task Execution. In: Lecture Notes in Mechanical Engineering (pp. 305–312). Springer Nature Switzerland.

DOI: https://doi.org/10.1007/978-3-031-74482-2_34

Akkaladevi, S. C., Maniadakis, M., Propst, M., Deshpande, K., Hofmann, M., Pichler, A., Alexakis, G., & Lourakis, M. (2024). Towards Behavior Trees Based Robotic Task Execution for Physical Human Robot Collaboration. In: Lecture Notes in Mechanical Engineering (pp. 297–304). Springer Nature Switzerland.

DOI: https://doi.org/10.1007/978-3-031-74482-2_33

Barrata, A., Cimino, A., Chiurco, A., Longo, F., Mirabelli, G., & Nicoletti, L. (2024). Towards Real-Time Task Allocation in Human-Robot Collaboration: Defining Key Requirements and Features for a Multi-Simulation Digital Twin System. In: Proceedings of the 36th European Modeling & Simulation Symposium. CAL-TEK srl.

DOI: https://doi.org/10.46354/i3m.2024.emss.036

Kalogeras, D., Pateraki, M., Akkaladevi, S. C., & Stanczyk, B. (2025). Symbiotic Human-Robot Collaboration: The FELICE Approach in Smart Assembly Lines. In: European Robotics Forum (ERF 2024), SPAR Proceedings (Springer Proceeding in Advanced Robotics) Proceedings (in print).

Akkaladevi, S. C., Propst, M., Deshpande, K., Hofmann, M., & Pichler, A. (2025). Behavior Tree Based Robotic Skill Execution for Human Robot Collaboration in Industrial settings. In: European Robotics Forum (ERF 2024), SPAR Proceedings (Springer Proceeding in Advanced Robotics) Proceedings (in print).

Bini, S., Saggese, A., & Vento, M. (2025). Enhancing Noise Robustness of Speech-Based Human-Robot Interaction in Industry. European Robotics Forum (ERF 2024), SPAR Proceedings (Springer Proceeding in Advanced Robotics) Proceedings (in print).

Pätzold, M., & Emmel, J. (2025). Simulation of the effects of an adaptive height adjustment algorithm for large planar work objects at manual assembly stations. In: Proceedings of the 22nd Triennial Congress of the International Ergonomics Association (IEA 2024), Springer Series in Design and Innovation (in print).

Pätzold, M., Eggert, H., & Abendroth, B. (2025). Pilotstudie zur Evaluation eines Systems zur adaptiven Höhen- und Neigungsverstellung großer Arbeitsobjekte für simulierte Tätigkeiten aus der Automobiltürmontage. In: Proceedings of the 71st Society for Ergonomics and Human Factors spring Conference, GfA-Press (in print).

Barrata, A., Cardamone, M., Cimino, A., Longo, F., Nicoletti, L., Padovano, A., & Sammarco, C. (2025). Advancing Task Allocation in Human-Robot Collaboration with a Multi-Simulation Based Digital Twin System. In: Elsevier Procedia Computer Science (in print).

Barrata, A., Cimino, A., Gazzaneo, L., Nicoletti, L., & Solina, V. (2025). Conceptual Modeling for a Simulation-Based Digital Twin in Human-Robot Collaboration. In: Elsevier, Procedia Computer Science (in print).

Deshpande, K., Akkaladevi, S. C., Propst, M., Hofmann, M., Pichler, A., & Alexakis, G. (2025). Ensuring kinematic feasibility for mobile manipulators in industrial assembly: A behavior tree based approach. In: Elsevier, Procedia Computer Science (in print).

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

Nanou, C., Koulierakis, N., Crociana, M., & Danilatou, V. (2024). Ethics-by-Design in AI-Driven Human-Robot Collaborative Manufacturing: Navigating Regulatory and Ethical Challenges. In: ETSI Artificial Intelligence (AI) Conference – Status, Implementation and Way Forward of AI Standardization (ETSI 2024)

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