Publikationen
Sustainability
Werner T., Dawoud M., Aschenbrenner D. Cost‐Efficient Detection of Plastics From Post‐Consumer Packaging Waste Using Selected Bands in the Near‐infrared Spectrum. Macromolecular Materials and Engineering 2025. 10.1002/mame.202500143
Basedow N., Fangerow N., Hadasch K., Colloseus C., Aschenbrenner D. Using AI to Improve Post-consumer Plastics Recycling for Sustainability in a Smart Environment. In: Khalifa, N.E.M., Taha, M. .N. (eds) Empowering AI Applications in Smart Life and Environment 2025. Springer, Cham.
Basedow N., Hadasch K., Dawoud M., Colloseus C., Taha I., Aschenbrenner D.: Open Data Sources for Post-Consumer Plastic Sorting: What We Have and What We Still Need. Procedia CIRP, Volume 122, 2024, pp.1042-1047.
Fangerow N., Aschenbrenner D., Colloseus C., Khoury R.: Robot-assisted automated sorting techniques for plastic recycling. Procedia CIRP, Volume 120, 2023, Pages 1232-1237, ISSN 2212-8271.
Werner T., Taha I., Aschenbrenner D.: An overview of polymer identification techniques in recycling plants with focus on current and future challenges. Procedia CIRP, Volume 120, 2023, Pages 1381-1386, ISSN 2212-8271.
Aschenbrenner, D., Gros, J., Fangerow, N., Werner, T., Colloseus, C., Taha, I.: Recyclebot – using robots for sustainable plastic recycling. Procedia CIRP, Volume 116, 2023, pp. 275-280, ISSN 2212- 8271.
Industry 4.0
Feldmann, S., Schwarzer, S., Merkel, M., Saadati, H.R., Lenz, L., Gros, J., Kiener, C., Arulalan, A., Wiedenmann, M., Aschenbrenner, D.: Hybrid intelligence for collaborative assembly: Integrating human and robotic agents via shared perception‑cognition‑action cycles. In Proceedings of the 2025 International Conference on Sustainable Technologies for Humanity and Smart World (HSWTech) (pp. 1–6). IEEE.
Aschenbrenner, D., Colloseus, C.: Human in Command in Manufacturing. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 689. Springer, Cham, pp. 559-572.
Alizai A., Mohammad M.R., Ludwig S., Aschenbrenner D.: Heterogeneous Communication Networks and Localization for Industry 4.0 Applications in Small and Medium-Sized Enterprises: A Systematic Literature Review. Procedia CIRP, Volume 120, 2023, Pages 308-313, ISSN 2212-8271.
Eber R., Kollmann D., Aschenbrenner D., Hentsch M., Schwarzer S., Stricker N.: IIOT visualization applications based on augmented reality – practical approach for easy implementation. Procedia CIRP, Volume 120, 2023, Pages 964-967, ISSN 2212-8271.
Gros J., Zatyagov D., Papa M., Colloseus C., Ludwig S., Aschenbrenner D.: Unlocking the Benefits of Mobile Manipulators for Small and Medium-Sized Enterprises: A Comprehensive Study. Procedia CIRP, Volume 120, 2023, Pages 1339-1344, ISSN 2212-8271.
Ludwig S., Aschenbrenner D., Scharle M., Klessig H., Karrenbauer M., Wu H., Taghouti M., Lozano P., Schotten, H.D., Fitzek, F.H.P.: Reference Network and Localization Architecture for Smart Manufacturing Based on 5G. In: Valle, M., et al. Advances in System-Integrated Intelligence. SYSINT 2022. Lecture Notes in Networks and Systems, vol 546, 2023. Springer, Cham, pp. 470-479.
Aschenbrenner D., Scharle M., Ludwig S.: 5G++ FlexiCell: 5G location-based context-aware agile manufacturing. Procedia CIRP 107 (2022) 1455–1460.
Künstliche/Hybride Intelligenz
Aschenbrenner, D., Hübner, A., Tagalidou, N., Bui, M., Vukelić, M., Yilmaz, N., & Basedow, N. (2025, August). AI Cockpit: A Meaningful Human Control Interface for Mitigating AI Risks for Hybrid Intelligence Systems. In IFIP International Conference on Advances in Production Management Systems (pp. 225-239). Cham: Springer Nature Switzerland.
Dassel, K., Colloseus, C., Sell, A., Günther, C., Aschenbrenner, D., Klein, J., & Guagnin, D. (2025). KI in der Pflege – Mensch im Mittelpunkt: Partizipative Entwicklung eines digitalen Assistenzsystems zur Entlastung in der stationären Altenpflege (iit‑Whitepaper). Institut für Innovation und Technik.
Aschenbrenner, D., Guagnin, D., Hanel, J., Hübner, A., Tagalidou, N., Yilmaz, N., & Zarbock, M. (2025). Schneller helfen, klüger lenken: Das KI‑Cockpit für smarte Städte (iit‑Whitepaper). Institut für Innovation und Technik.
Hanel, J., Jantzen, L., Weselmann, L., Guagnin, D., Kempen, R., Peters, R., Saleh, F., & Steininger, R. (2025). KI im Jobmatching erfolgreich nutzen: Faire und transparente Bewerbungsprozesse mit menschlicher Aufsicht (iit‑Whitepaper). Institut für Innovation und Technik.
Aschenbrenner, Doris; Bottel, Matthias; Colloseus, Cecilia; Guagnin, Daniel, Hubel, Nikolas; Jantzen, Lisa; Kempen, Regina; Peters, Robert; Saleh, Faten; Sell, Andrea (2025). Ein KI-Cockpit für Beschäftigte. Künstliche Intelligenz am Arbeitsplatz verstehen, souverän einsetzen und kontrollieren. Institut für Innovation und Technik (iit) Seiten 1-24.
Aschenbrenner, D., Kempen, R., Guagnin, D., Jantzen, L., Sell, A., Colloseus, C., Saleh, F., & Peters, R. (2025). KI Cockpit – menschliche Letztentscheidung nach EU AI Act implementiert. In Arbeitswelt und KI 2030: Herausforderungen und Strategien für die Arbeit von morgen.
Burchardt, A., Aschenbrenner, D.: Practical Guide AI = All Together and Interdisciplinary. In: Knappertsbusch, I., Gondlach, K. (eds) Work and AI 2023. Springer, Wiesbaden, pp. 11-19.
Fiebig T., Aschenbrenner D.: 13 Propositions on an Internet for a “Burning World”. TAURIN+BGI '22: Proceedings of the ACM SIGCOMM Joint Workshops on Technologies, Applications, and Uses of a Responsible Internet and Building Greener Internet, 2022.
Aschenbrenner D.: Die Bedeutung von Participatory Design für Anwendungen mit Künstlicher Intelligenz. In: Greiner R., Berger D., Böck M.: Analytics und Artificial Intelligence 2022.
Aldea A., Tinga A.M., van Zeumeren I.M., van Nes N., Aschenbrenner D.: Virtual Reality Tool for Human-Machine Interface Evaluation and Development (VRHEAD). Conference: 2022 IEEE Intelligent Vehicles Symposium (IV).
Aschenbrenner D., Zimmerling M., Diener K.: Menschenzentriertes Innovationssystem – integriertes Innovationssystem zur Überwindung der Grenzen von Theorie und Praxis. In: Peters R., Dicks M., Altepost A., Aschenbrenner D., Burmester M., Carolus A., Diener K., Fetic L., Gerst D., Hermann I., Kramm B., Kurz C., Peissner M., Suchy O., Westhoven M., Wienrich C., Zimmerling M.: Arbeiten mit Künstlicher Intelligenz 2022, p. 14.
Aschenbrenner D., Kramm B., Hermann I.: Kultur als Werkzeug und Experimentierfeld eines konstruktiven gesellschaftlichen Technikdiskurses. In: Peters R., Dicks M., Altepost A., Aschenbrenner D., Burmester M., Carolus A., Diener K., Fetic L., Gerst D., Hermann I., Kramm B., Kurz C., Peissner M., Suchy O., Westhoven M., Wienrich C., Zimmerling M.: Arbeiten mit Künstlicher Intelligenz 2022, p. 9.
Social Studies
Uhle, A., Colloseus, C., Lenz, L., & Aschenbrenner, D. (2025, March). Designing a Dynamic Skill Tree for Self-directed Learning in Master’s Programs: A Learning Factory Approach. In Conference on Learning Factories (pp. 78-85). Cham: Springer Nature Switzerland.
Sell A., Colloseus C.: AI Integration Acceptance in Elderly Care Institutions: A Step Toward a Smarter Life. In: Khalifa, N.E.M., Taha, M. .N. (eds) Empowering AI Applications in Smart Life and Environment 2025. Springer, Cham.
Aschenbrenner D., Jantzen L., Colloseus C., Sell A., and Kempen R.: Research Interpretation of Article 14 of the EU AI Act: Human in Command in Manufacturing. In: Thürer M., Riedel R.,von Cieminski G., Romero D. (eds.): Advances in Production Management Systems; 43rd IFIP WG 5.7 International Conference, APMS 2024 Chemnitz, Germany, September 8–12, 2024 Proceedings, Part III.
Colloseus, C: Artificial Tricksters: Narrating AI in Relation to Age and Gender. In: Gender Forum, Vol. 22 No. 2 (2023): Gender, Age, and the New Media, pp. 15-37.
Colloseus, C., Sell, A., Uhle, A.: Intelligente Maschinen? Religionsunterricht heute, 01 – 02.2023, pp. 4-9.
Robotik
Rieder, J. S., Kollmann, D., El Khoury, R., & Aschenbrenner, D.: Computer Vision-Based Environmental Perception for a Collaborative Robot. In IFIP International Conference on Advances in Production Management Systems (pp. 559-573). Cham: Springer Nature Switzerland.
Martz, U. M., Colloseus, C., Reinisch, U., & Aschenbrenner, D.: How Can a Miniature Arduino or ESP32-Based Architecture Be Designed that Mimics Basic Factory Scenarios in Order to Be Used as a Learning Tool. In Conference on Learning Factories (pp. 242-249). Cham: Springer Nature Switzerland.
Borges E.I.A., Rieder J.S.I., Aschenbrenner D., Scharff R.B.N.: Framework for Armature-Based 3D Shape Reconstruction of Sensorized Soft Robots in eXtended Reality. Frontiers In Robotics and AI 2022, 9, Article 810328.
Ergonomie
Yilmaz, N., El Khoury, R., Jantzen, L., Kempen, R., & Aschenbrenner, D.: Evaluating User-Centered Visualizations of Traffic Anomalies: A User Study. In IFIP International Conference on Advances in Production Management Systems (pp. 178-193). Cham: Springer Nature Switzerland.
Li M., Yao X., Aschenbrenner D., van Eijk D., Vink P.: Ergonomics 4.0: Human-Centered Procedure for Ergonomic Design Using Virtual Reality Prototyping. Volume32, IssueS1, Supplement: INCOSE Human Systems Integration Conference, November 16–19, 2021, Virtual Event, Pages 195-211.