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AI for design: Virtual design assistant
Affiliation:1. Massachusetts Institute of Technology, Cambridge, MA, USA;2. Kookmin University, Seoul, Republic of Korea;1. Airbus Helicopters, Aéroport de Marseille Provence, 13700 Marignane, France;2. Aix-Marseille Université, CNRS, ISM UMR 7287, 13288 Marseille, Cedex 09, France;3. Université de Toulouse, INSA, ICA (Institut Clément Ader), 135 avenue de Rangueil, F-31077 Toulouse, France;1. LCFC, Arts et Métiers–ParisTech–Metz, HESAM, Université de Lorraine, 4 rue Augustin Fresnel, 57078 Metz Cedex 3, France;2. Université de Lorraine, CRAN, F-88000 Epinal, France;3. Industrial Engineering Department, Sharif University of Technology, Azadi Avenue, Tehran 11365-11155, Iran;1. Dyson School of Design Engineering, Imperial College London, SW7 2AZ London, UK;2. Data Science Institute, Imperial College London, SW7 2AZ London, UK;3. Zhejiang University, 310027 Hangzhou, China;4. School of Engineering, University of Liverpool, L69 3BX Liverpool, UK
Abstract:Engineering faces many wicked problems: irreducibly interdisciplinary with multiple competing objectives, and of such large scale and complexity that will require processes to deeply rely on human insights and power of computation. The resurgence of machine learning offers the possibility for new forms of human/computer collaboration where each fuels hybrid intelligence in complementary ways. A concept of virtual design assistant (VDA) is developed as a platform to bring the hybrid intelligence in solving complex design challenges. A deep learning-based abstraction process is developed to provide VDA a function to extract structured functional requirements from fragmental design specifications and customer needs.
Keywords:Design method  Machine learning  Hybrid intelligence
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