Proceedings of the 2020 DigitalFUTURES

1. Front Matter

   Pages i-xi

   PDF

2. Machine Thinking

   1. Front Matter

      Pages 1-1

      PDF

   2. Machinic Phylum and Architecture

      • Andrej Radman

      Pages 3-16Open Access

   3. Pipes of AI – Machine Learning Assisted 3D Modeling Design

      • Chuan Liu, Jiaqi Shen, Yue Ren, Hao Zheng

      Pages 17-26Open Access

   4. Developing a Digital Interactive Fabrication Process in Co-existing Environment

      • Chun-Yen Chen, Teng-Wen Chang, Chi-Fu Hsiao

      Pages 27-35Open Access

   5. Real-Time Defect Recognition and Optimized Decision Making for Structural Timber Jointing

      • Dan Luo, Joseph M. Gattas, Poah Shiun Shawn Tan

      Pages 36-45Open Access

   6. On-Site BIM-Enabled Augmented Reality for Construction

      • Adam Chernick, Christopher Morse, Steve London, Tim Li, David Ménard, John Cerone et al.

      Pages 46-56Open Access

   7. Recycling Construction Waste Material with the Use of AR

      • Caitlyn Parry, Sean Guy

      Pages 57-67Open Access

   8. Growing Shapes with a Generalised Model from Neural Correlates of Visual Discrimination

      • Pierre Cutellic

      Pages 68-78Open Access

   9. Cyborgian Approach of Eco-interaction Design Based on Machine Intelligence and Embodied Experience

      • Guyi Yi, Ilaria Di Carlo

      Pages 79-90Open Access

3. Machine Seeing

   1. Front Matter

      Pages 91-91

      PDF

   2. A Large-Scale Measurement and Quantitative Analysis Method of Façade Color in the Urban Street Using Deep Learning

      • Jiaxin Zhang, Tomohiro Fukuda, Nobuyoshi Yabuki

      Pages 93-102Open Access

   3. Suggestive Site Planning with Conditional GAN and Urban GIS Data

      • Runjia Tian

      Pages 103-113Open Access

   4. Understanding and Analyzing the Characteristics of the Third Place in Urban Design: A Methodology for Discrete and Continuous Data in Environmental Design

      • Namju Lee

      Pages 114-123Open Access

   5. Sensing the Environmental Neighborhoods

      • Maider Llaguno-Munitxa, Elie Bou-Zeid

      Pages 124-133Open Access

   6. A Performance-Based Urban Block Generative Design Using Deep Reinforcement Learning and Computer Vision

      • Zhen Han, Wei Yan, Gang Liu

      Pages 134-143Open Access

   7. The Development of ‘Agent-Based Parametric Semiology’ as Design Research Program

      • Xuexin Duan

      Pages 144-155Open Access

4. Machine Learning

   1. Front Matter

      Pages 157-157

      PDF

   2. Machine Learning Aided 2D-3D Architectural Form Finding at High Resolution

      • Hang Zhang, Ye Huang

      Pages 159-168Open Access

   3. Exploration of Campus Layout Based on Generative Adversarial Network

      • Yubo Liu, Yihua Luo, Qiaoming Deng, Xuanxing Zhou

      Pages 169-178Open Access

This open access book is a compilation of selected papers from 2020 DigitalFUTURES—The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020). The book focuses on novel techniques for computational design and robotic fabrication. The contents make valuable contributions to academic researchers, designers, and engineers in the industry. As well, readers will encounter new ideas about understanding intelligence in architecture.

• Post-humanist Intelligence
• Computational Design
• Robotic Fabrication
• Human-Machine Collaboration
• AI in Architecture
• Open Access

• College of Architecture and Urban Planning, Tongji University, Shanghai, China

  Philip F. Yuan, Jiawei Yao, Chao Yan, Xiang Wang, Neil Leach

Philip F. Yuan is a Professor at the College of Architecture and Urban Planning of Tongji University and the Director of Academic Committee of Shanghai Digital Fabrication Engineering Technology Center. He also serves as a Council Member of Architects Sector as well as Virtual and Automated Construction Sector at the Architectural Society of China. His research mainly focuses on the field of performance-based architectural tectonics, the application of robotic fabrication equipment and developments of robotic fabrication technologies.
  
Jiawei Yao is an Associate Research Fellow and Postdoctor at the College of Architecture and Urban Planning, Tongji University. He received his Ph.D. in the University of Nottingham, UK. Right now, Dr. Yao is a LEED AP & WELL AP, while he focuses on environmental-performance urban and building design with digital method and logic. His research is sponsored by Shanghai Sailing Program and China Postdoctoral Science Foundation.         
Chao Yan is a post-doctoral researcher at Tongji University where he conducts researches on the history of construction technology and digital design theory. He was a visiting lecturer at China Academy of Art, where he has taught design studio and theory courses from 2014 to 2018, and a visiting scholar at University of Virginia in 2019. His work focuses on the intersection between architectural theory and philosophy, and he has published extensively on the history and theory of body, neurophilosophy in architecture, post-68 architectural history, etc. His recent work is to construct a body perspective to review the history of digital design and fabrication.
Xiang Wang is a post-doctoral researcher at the Digital Design Research Center at the College of Architecture and Urban Planning. His research focuses on the digital design and robotic fabrication techniques for structural innovative design and the construction techniques with mobile robots.


Neil Leach is an architect and theorist. He is currently a visiting professor at Harvard University's Graduate School of Design, a visiting professor at Tongji University, an adjunct professor at the University of Southern California, and a NASA Innovative Advanced Concepts Fellow. He has also taught at the Southern California Institute of Architecture, the Architectural Association, Cornell University, Columbia University, the Dessau Institute of Architecture, the Royal Danish School of Fine Arts, the Institute for Advanced Architecture of Catalonia, the International University of Catalonia, the University of Bath, the University of Brighton, the University of Nottingham, and London Consortium.