Insights for Prototyping AIBased Concepts in Fuzzy Front- End Product Development
Doctoral thesis
Permanent lenke
https://hdl.handle.net/11250/3099946Utgivelsesdato
2023Metadata
Vis full innførselSamlinger
Sammendrag
This thesis investigates the use of artificial intelligence (AI) in the early stages of product development (PD) to enhance problem-solving and prototyping. By leveraging AI's ability to perform complicated tasks traditionally reserved for humans, practitioners can create innovative solutions and deliver greater value to end-users. The study draws on practical Fuzzy Front End (FFE) projects, which follow the Wayfaring approach, and their corresponding scientific contributions. The subfields of AI applied include machine learning, deep learning, and computer vision. The research objectives are to explore the potential benefits of AI in FFE PD and identify methods for applying AI in this context. The insights gained from this thesis can help guide PD practitioners in their use of AI, and the results provide answers to four related research questions. Additionally, four hypotheses have been postulated as suggestions for further research.
Består av
Appendix A: Kohtala, Sampsa Matias Ilmari; Erichsen, Jorgen Andreas Bogen; Sjöman, Heikki; Steinert, Martin. Augmenting Physical Prototype Activities in Early-Stage Product Development. I: DS 91: Proceedings of NordDesign 2018Appendix B: Kohtala, Sampsa; Steinert, Martin. From Hand-Drawn Sketching to Laser Cutting - A Proof of Concept Prototype and Pilot Study. Proceedings of the International Conference on Engineering Design 2019 ;Volum 1. s. 339-348 https://doi.org/10.1017/dsi.2019.37 This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence CC BY-NC-ND (http://creativecommons.org/licenses/by-nc-nd/4.0/),
Appendix C: Solberg, Fredrik Samdal; Kohtala, Sampsa Matias Ilmari; Vestad, Håvard Nitter; Steinert, Ralf Martin. A Combined Photoplethysmography and Force Sensor Prototype for Improved Pulse Waveform Analysis. I: 2019 IEEE SENSORS Proceedings https://doi.org/10.1109/SENSORS43011.2019.8956487
Appendix D: Steffensen, Torjus Lines; Kohtala, Sampsa Matias Ilmari; Vestad, Håvard Nitter; Steinert, Ralf Martin. TrollBOT: A Spontaneous Networking Tool Facilitating Rapid Prototyping of Wirelessly Communicating Products. Procedia CIRP 2020 ;Volum 91. s. 634-638 https://doi.org/10.1016/j.procir.2020.03.111 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Appendix E: Kohtala, Sampsa Matias Ilmari; Kaland, Thomas Colin Guo; Jacobsen, Live; Aalto, Pasi Olav; Steinert, Martin. Bringing Reality Back to Virtual Reality - A Collaborative Tool for Multidisciplinary Teams. I: Proceedings of the NordDesign 2020 conference https://doi.org/10.35199/NORDDESIGN2020.38
Appendix F: Funch, Oliver Istad; Marhaug, Robert Nikolai; Kohtala, Sampsa; Steinert, Martin. Detecting glass and metal in consumer trash bags during waste collection using convolutional neural networks. Waste Management 2021 ;Volum 119. s. 30-38 https://doi.org/10.1016/j.wasman.2020.09.032 This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Appendix G: Kohtala, Sampsa; Erichsen, Jorgen Falck; Wullum, Ole Petter; Steinert, Martin. Photogrammetry-based 3D scanning for supporting design activities and testing in early stage product development. Procedia CIRP 2021 ;Volum 100. s. 762-767 https://doi.org/10.1016/j.procir.2021.05.047 This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence CC BY-NC-ND (http://creativecommons.org/licenses/by-nc-nd/4.0/),
Appendix F: Kohtala, Sampsa; Steinert, Martin. Leveraging synthetic data from CAD models for training object detection models – a VR industry application case. Procedia CIRP 2021 ;Volum 100. s. 714-719 https://doi.org/10.1016/j.procir.2021.05.092 This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence CC BY-NC-ND (http://creativecommons.org/licenses/by-nc-nd/4.0/),
Appendix I: Modalsli, Eivind Heilmann; Tan, Alex; Bakke, Marie Langnes; Eikevåg, Sindre Wold; Kohtala, Sampsa Matias Ilmari; Steinert, Ralf Martin; Aasland, Knut Einar; Roeleveld, Karin. Prosthetic socket rotation stability - A mock limb study on different suspension systems. Gait & Posture 2021 ;Volum 90.(1) s. 154-155 https://doi.org/10.1016/j.gaitpost.2021.09.081
Appendix J: Johnston, Sondre Haukås; Berg, Martin Francis; Eikevåg, Sindre Wold; Ege, Daniel Nygård; Kohtala, Sampsa; Steinert, Martin. Pure Vision-Based Motion Tracking for Data-Driven Design – A Simple, Flexible, and Cost-Effective Approach for Capturing Static and Dynamic Interactions. Proceedings of the Design Society 2022 ;Volum 2. s. 485-494 https://doi.org/10.1017/pds.2022.50 this is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence CC BY-NC-ND (http://creativecommons.org/licenses/by-nc-nd/4.0/),
Appendix K: Auflem, Marius; Kohtala, Sampsa; Jung, Malte; Steinert, Martin. Facing the FACS—Using AI to Evaluate and Control Facial Action Units in Humanoid Robot Face Development. Frontiers in Robotics and AI 2022 ;Volum 9. https://doi.org/10.3389/frobt.2022.887645 This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Appendix L: Kohtala, Sampsa; Nedal, Tonje Marie Vikene; Kriesi, Carlo Rene; Moen, Siv Helen; Ma, Qianli; Ødegaard, Kristin Sirnes; Standal, Therese; Steinert, Martin. Automated Quantification of Human Osteoclasts Using Object Detection. Frontiers in Cell and Developmental Biology 2022 ;Volum 10.(941542) https://doi.org/10.3389/fcell.2022.941542 This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Appendix M: Digerud, Lars; Volden, Øystein; Christensen, Kim Alexander; Kohtala, Sampsa; Steinert, Martin. Vision-based positioning of Unmanned Surface Vehicles using Fiducial Markers for automatic docking. IFAC-PapersOnLine 2022 ;Volum 55. s. 78-84 https://doi.org/10.1016/j.ifacol.2022.10.412 This is an open access article under the CC BY-NC-ND license.
Appendix N: Erichsen, Jørgen F.; Kohtala, Sampsa; Steinert, Martin; Welo, Torgeir. On Applying Machine Learning/Object Detection Models for Analysing Digitally Captured Physical Prototypes from Engineering Design Projects - arXiv:1905.03697
Appendix O: Eikevåg, Sindre W.; Modalsli, Eivind H:;Kohtala, Sampsa; Tan, Alex; Bakke, Marie L.; Aasland, Knut E. Steinert, Martin; Roeleveld. Prosthetic socket rotation resistance – a multi-sensor system for lower- limb prosthetics characterization and comparison