Prof. Dr. Hans Wernher van de Venn

Netzwerk

Mitglied in Netzwerken

• Internationales Forum Mechatronik
• Swiss Mechatronics Cluster
• Swiss Space Center
• European Factories of the Future Research Association (EFFRA)
• euRobotics

Projekte

• SmartAssets - Digital Transformation in Industry 4.0 / Projektleiter:in / laufend
• SmartSenseAI / Stellv. Projektleiter:in / laufend
• Cybathlon 2024 / Teammitglied / abgeschlossen
• Optimierung Axialflussreluktanzmotor und zugehöriges Fertigungskonzept / Stellv. Projektleiter:in / abgeschlossen
• Grossformatiges 3D-Drucksystem auf Granulatbasis, mit einem um zwei Achsen rotierbaren Druckkopf / Stellv. Projektleiter:in / abgeschlossen
• Build Smarter. Cleaner. Cheaper. / Teammitglied / abgeschlossen
• PhD Network in Data Science / Teammitglied / abgeschlossen
• Entwicklung eines innovativen elektrischen Antriebes / Projektleiter:in / abgeschlossen
• Novel Catheter Tracking System / Projektleiter:in / abgeschlossen
• Robo-Mate – Intelligent exoskeleton based on human-robot interaction for manipulation of heavy goods in Europe’s factories of the future / Projektleiter:in / abgeschlossen
• Steuerungssystem für kontinuierliche Roboter / Projektleiter:in / abgeschlossen
• INTERSIM / Teammitglied / abgeschlossen
• Robotik und autonome Geräte in Betreuung und Gesundheitsversorgung / Teammitglied / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• Pfreundschuh, P. et al. (2025) 'Sight Guide demonstrates robotics-inspired vision assistance at the Cybathlon', Science Robotics, 10(108). doi: 10.1126/scirobotics.aec3393.
• Mohammadi Amin, F., Caldwell, D. G. and van de Venn, H. W. (2025) 'Enhancing human-robot collaboration : a Sim2Real domain adaptation algorithm for point cloud segmentation in industrial environments', Journal of Intelligent & Robotic Systems, 111(94). doi: 10.1007/s10846-025-02290-9.
• Fathi, K., van de Venn, H. W. and Honegger, M. (2021) 'Predictive maintenance : an autoencoder anomaly-based approach for a 3 DoF delta robot', Sensors, 21(21), p. 6979. doi: 10.3390/s21216979.
• Kaji, M., Parvizian, J. and van de Venn, H. W. (2020) 'Constructing a reliable health indicator for bearings using convolutional autoencoder and continuous wavelet transform', Applied Sciences, 10(24), p. 8948. doi: 10.3390/app10248948.
• Mohammadi Amin, F. et al. (2020) 'A mixed-perception approach for safe human–robot collaboration in industrial automation', Sensors, 20(21), p. 6347. doi: 10.3390/s20216347.

Buchbeiträge, peer-reviewed

Fathi, K. and van de Venn, H. W. (2024) 'Data, models, and performance : a comprehensive guide to predictive maintenance in industrial settings', in Bányai, T. (ed.) Recent topics in maintenance management. London: IntechOpen. doi: 10.5772/intechopen.1005511.

Schriftliche Konferenzbeiträge, peer-reviewed

• Sedigh, M. et al. (2026) 'Architecture meets automation : mapping building information modeling to Industrie 4.0 digital twins', in 2026 IEEE 22nd International Conference on Factory Communication Systems (WFCS). IEEE. doi: 10.1109/wfcs67029.2026.11511565.
• Fathi, K. et al. (2026) 'Next-gen contextual anomaly detection for sustainable and efficient production in Industry 4.0', in Barata, J., Madani, K., and Panetto, H. (eds). Cham: Springer, pp. 191–203. doi: 10.1007/978-3-032-15576-4_13.
• Fathi, K. et al. (2025) 'Towards Industry 5.0 : AAS/MLOps-driven model maintenance for data-centric production'. SciTePress, pp. 495–502. doi: 10.5220/0013716300003982.
• Braunisch, N. et al. (2025) 'Recognizing and integrating legacy assembly diagrams into Industry 4.0', in IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society. IEEE. doi: 10.1109/iecon58223.2025.11221583.
• Miny, T. et al. (2025) 'Semantic comparison of asset administration shells', in 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. doi: 10.1109/etfa65518.2025.11205541.
• Gneuß, T. et al. (2025) 'Combining publicly available SDKs and code generation tools to streamline the implementation of AAS applications'. IEEE. doi: 10.1109/etfa65518.2025.11205694.
• Hehli, J. et al. (2025) 'Multi-class human/object detection on robot manipulators using proprioceptive sensing', in 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE). IEEE, pp. 676–683. doi: 10.1109/case58245.2025.11163925.
• Perez Olaya, S. S. et al. (2025) 'Digital twin in Industrie 4.0 implementation for embedded systems', in 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE). IEEE, pp. 1760–1765. doi: 10.1109/case58245.2025.11163805.
• Gneuß, T. et al. (2025) 'Streamlining AAS data exchange : a novel approach using protocol buffers', in 2025 IEEE 34th International Symposium on Industrial Electronics (ISIE). IEEE. doi: 10.1109/isie62713.2025.11124666.
• Braunisch, N. et al. (2025) 'Leveraging software development of I4.0 digital twins for PLC programming', in 2025 IEEE 34th International Symposium on Industrial Electronics (ISIE). IEEE. doi: 10.1109/isie62713.2025.11124616.
• Otto, B. et al. (2025) 'Quick response code-integrated digital twin with asset administration shells', in 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE. doi: 10.1109/icps65515.2025.11087888.
• Heppner, S. et al. (2025) 'Refining NLP semantic matches through dialogue with large language models'. IEEE. doi: 10.1109/icps65515.2025.11087870.
• Braunisch, N. et al. (2025) 'AAS meets OPC UA : a unified approach to digital twins'. IEEE. doi: 10.1109/icps65515.2025.11087887.
• Otto, B. et al. (2025) 'Code and test generation for I4.0 state machines with LLM-based diagram recognition', in 2025 IEEE 21st International Conference on Factory Communication Systems (WFCS). IEEE. doi: 10.1109/wfcs63373.2025.11077624.
• Braunisch, N. et al. (2025) 'The link between programmable logic controllers and Industry 4.0 digital twins'. IEEE. doi: 10.1109/icecet63943.2025.11472600.
• Braunisch, N. et al. (2025) 'Service-oriented architecture for I4.0 digital twins', in IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. IEEE. doi: 10.1109/iecon55916.2024.10905573.
• Fathi, K. et al. (2024) 'Sustainability in semiconductor production via interpretable and reliable predictions', in IFAC-PapersOnLine. Elsevier, pp. 174–179. doi: 10.1016/j.ifacol.2024.07.213.
• Tinnes, C. et al. (2024) 'From unstructured product descriptions to structured data for Industry 4.0 with ChatGPT', in 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE. doi: 10.1109/icps59941.2024.10639992.
• Braunisch, N. et al. (2024) 'Automatic fuzzing of asset administration shells as digital twins for Industry 4.0', in 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, pp. 3525–3530. doi: 10.1109/case59546.2024.10711585.
• Miny, T. et al. (2024) 'Towards a test framework for reactive (type 2) asset administration shell implementations', in 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. doi: 10.1109/etfa61755.2024.10710957.
• Braunisch, N. et al. (2024) 'Generation of digital twins for exchanging information via application programming interfaces', in 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE. doi: 10.1109/icps59941.2024.10639996.
• Braunisch, N. et al. (2024) 'Software evolution of I4.0 digital twins with semantic patching', in 2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE). IEEE. doi: 10.1109/isie54533.2024.10595745.
• Fathi, K., Kleinert, T. and van de Venn, H. W. (2024) 'Trustworthy machine learning operations for predictive maintenance solutions', in Do, P. and Ezhilarasu, C. (eds) Proceedings of the European Conference of the PHM Society 2024. Prognostics and Health Management Society, p. 4. doi: 10.36001/phme.2024.v8i1.3966.
• Fathi, K. et al. (2024) 'Detection of novel asset failures in predictive maintenance using classifier certainty', in 2024 32nd Mediterranean Conference on Control and Automation (MED). IEEE, pp. 50–56. doi: 10.1109/med61351.2024.10566204.
• Fathi, K. et al. (2024) 'Domain adaptation via simulation parameter and data perturbation for predictive maintenance', in Do, P. and Ezhilarasu, C. (eds) Proceedings of the PHM Society European Conference 2024. PHM Society, pp. 389–399. doi: 10.36001/phme.2024.v8i1.3985.
• Grivet, K., Sadurski, M. and van de Venn, H. W. (2024) 'Smart factory production process using virtual cost optimization', in 2024 IEEE International Conference on Industrial Technology (ICIT). IEEE. doi: 10.1109/icit58233.2024.10540930.
• Braunisch, N. et al. (2024) 'Digital twin in Industrie 4.0 for embedded systems', in 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS). IEEE. doi: 10.1109/wfcs60972.2024.10540968.
• Fathi, K., Darvishy, A. and van de Venn, H. W. (2023) 'Similarity and location-based real-time loop closure : SNAPS for SLAM in unexplored-environments', in 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS). IEEE, p. 7. doi: 10.1109/COINS57856.2023.10189300.
• Fathi, K. et al. (2023) 'Source component shift detection & classification for improved remaining useful life estimation in alarm-based predictive maintenance', in 2023 23rd International Conference on Control, Automation and Systems (ICCAS). IEEE, pp. 975–980. doi: 10.23919/iccas59377.2023.10316874.
• Braunisch, N. et al. (2023) 'Empowering Industry 4.0 with generative and model-driven SDK development', in IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE. doi: 10.1109/iecon51785.2023.10312302.
• Braunisch, N. et al. (2023) 'Maturity evaluation of SDKs for I4.0 digital twins', in 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. doi: 10.1109/etfa54631.2023.10275719.
• Braunisch, N. et al. (2023) 'Generation of digital twins for information exchange between partners in the Industrie 4.0 value chain', in 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE. doi: 10.1109/indin51400.2023.10218306.
• Fathi, K., Darvishy, A. and van de Venn, H. W. (2022) 'Augmented reality for the visually impaired : navigation aid and scene semantics for indoor use cases', in 2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin). IEEE. doi: 10.1109/ICCE-Berlin56473.2022.9937109.
• Zhang, J. et al. (2022) 'Python-by-contract dataset', in Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Association for Computing Machinery, pp. 1652–1656. doi: 10.1145/3540250.3558917.
• Fathi, K., Rezayati, M. and van de Venn, H. W. (2022) 'Human-robot contact detection in assembly tasks', in 2022 7th International Conference on Mechanical Engineering and Robotics Research (ICMERR). IEEE, pp. 224–230. doi: 10.1109/ICMERR56497.2022.10097827.
• Rezayati, M. et al. (2022) 'Improving safety in physical human-robot collaboration via deep metric learning', in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. doi: 10.1109/ETFA52439.2022.9921623.
• Miny, T. et al. (2022) 'Semi-automatic testing of data-focused software development kits for Industrie 4.0', in 2022 IEEE 20th International Conference on Industrial Informatics (INDIN). IEEE, pp. 269–274. doi: 10.1109/INDIN51773.2022.9976069.
• Munasinghe, C. et al. (2022) 'COVERED, CollabOratiVE Robot Environment Dataset for 3D semantic segmentation', in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. doi: 10.1109/etfa52439.2022.9921525.
• Ristin, M., Edvardsen, D. F. and van de Venn, H. W. (2021) 'RASAECO : Requirements Analysis of Software for the AECO industry', in 2021 IEEE 29th International Requirements Engineering Conference (RE). IEEE, pp. 280–290. doi: 10.1109/RE51729.2021.00032.
• Braunisch, N. et al. (2021) 'Generative and model-driven SDK development for the industrie 4.0 digital twin', in 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ). IEEE. doi: 10.1109/ETFA45728.2021.9613164.

Weitere Publikationen

• Song, D. et al. (2025) Tactile gesture recognition with built-in joint sensors for industrial robots. arXiv. doi: 10.48550/arxiv.2508.12435.
• Rezayati, M., Park, K. M. and van de Venn, H. W. (2025) Learning-based contact interpretation with LSTM networks : a transferable skill for robots. TechRxiv. doi: 10.36227/techrxiv.174742058.83011810/v1.
• van de Venn, H. W. (2014) 'Innovative Robotersysteme als Helping Hand : Mensch und Maschine im Produktionsteam 2.0', Automation und Robotik, 2014(1/März).
• van de Venn, H. W. (2014) 'Wearable robotic protection : symbiosis between man and machine', Health & Safety International, 2014(53), pp. 15–23. Available at: https://www.hsimagazine.com/article/wearable-robotic-protection-1030.
• Stadler, K., Elspass, W. J. and van de Venn, H. W. (2014) 'Robo-Mate : exoskeleton to enhance industrial production', in Kozlowski, K., Tokhi, M. O., and Virk, G. S. (eds) Mobile Service Robotics : Proceedings of the 17th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines. World Scientific Publishing, pp. 53–60.
• van de Venn, H. W. (ed.) (2013) Tagungsband Internationales Forum Mechatronik 2013, Tagungsband Internationales Forum Mechatronik 2013. Winterthur: Internationales Forum Mechatronik.
• van de Venn, H. W. (ed.) (2010) Tagungsband Internationales Forum Mechatronik 2010, Tagungsband Internationales Forum Mechatronik 2010. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
• van de Venn, H. W. and Järmann, T. (2009) 'Herz-Bypassoperation in wenigen Minuten?', Swiss Engineering STZ, 2009(4).
• van de Venn, H. W. and Järmann, T. (2009) 'Die Kerbe, die Leben rettet : Bypass-Operationen mit semiautomatischem Nähinstrument', Technica, 2009(2).
• van de Venn, H. W. and Zuurveen, F. (2008) 'Bypassoperaties aan een kloppend hart', Mikroniek, 2008(4), pp. 17–21.
• Seatovic, D. and van de Venn, H. W. (2008) 'Formerkennung und Klassifizierung On-The-Fly in 3D-Punktewolken für mobile Roboter zur Pflanzenbehandlung', in Intelligente mechatronische Systeme. Stuttgart: Kompetenznetzwerk Mechatronik BW, p. 280.
• van de Venn, H. W. (2007) 'Mini-Roboter mit Deltakinematik : hoher Wirkungsgrad und schnelle Beschleunigung', Handling, 2007(10).
• Maag, S., Hüppi, R. A. and van de Venn, W. (2007) 'Untersuchung der Bedürfnisse und Anforderungen von KMU an neuartige, flexible und moderne Robotersysteme', in Internationales Forum Mechatronik 2007, Winterthur, 12.-13. September 2007.
• van de Venn, H. W., Zwicker, S. and Dolder, S. (2007) 'Entwicklung eines semi-automatischen Nähtools für die Herzchirurgie', in Tagungband Forum Mechatronik 2007. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
• van de Venn, H. W. (ed.) (2007) Tagungsband Internationales Forum Mechatronik 2007, Internationales Forum Mechatronik 2007, Winterthur, 12.-13. September 2007. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
• van de Venn, H. W. (2007) 'Mit Nadel und Faden am schlagenden Herzen', Mechatronik, 2007(10), pp. 44–46.
• van de Venn, H. W. (2006) 'Technologieplattform ManuFuture : Mechatronik als Schlüsselkompetenz für die Wettbewerbsfähigkeit der produzierenden Industrie', in Tagungband Forum Mechatronik 2006. Linz: Internationales Forum Mechatronik.

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