Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)

• Main Authors: Yuan, Philip F, Yao, Jiawei, Yan, Chao, Wang, Xiang, Leach, Neil
• Format: eBook
• Language: English
• Published: Singapore Springer 2021; College of Architecture and Urban Planning (CAUP)
• Edition: 1
• Subjects: Computer Technology; Engineering; Nonfiction; Technology
• ISBN: 9813343990; 9789813343993; 9813344008; 9789813344006

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 contribut...

Table of Contents:

• 3.2 Construction Document Export and Metadata Post-processing -- 4 Unity Reflect -- 5 Results -- 5.1 Case Study/User Testing -- 5.2 Future Development -- 5.3 Connections -- References -- Recycling Construction Waste Material with the Use of AR -- 1 Introduction -- 2 Aims -- 3 Method -- 3.1 Method 1 | Mass Customisation and Working to a Fixed Digital Model -- 3.2 Mass Customized Aggregation Geometry -- 3.3 Holographic Part Nesting -- 3.4 Mixed Reality Interface -- 3.5 Jointing -- 3.6 Fabrication and Fixing Methods -- 3.7 Method 2 | Working to a Flexible Digital Model -- 3.8 Results -- 4 Discussion -- 4.1 Future Development -- References -- Growing Shapes with a Generalised Model from Neural Correlates of Visual Discrimination -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusion -- References -- Cyborgian Approach of Eco-interaction Design Based on Machine Intelligence and Embodied Experience -- 1 Tracing Cyborgian Theory and Embodied Cognition -- 1.1 A Hybrid of Part Clock Part Swarm [10] -- 1.2 The Importance of the Presence and the Bodily Experience -- 2 How Cyborgian Approach Activates Plants? -- 2.1 How They Sense -- 2.2 How They Think -- 2.3 How They Actuate -- 3 How Cyborgian Approach Encourages Human Participation? -- 3.1 Experience Level -- 3.2 Experience Assessment -- 4 Design an Interactive Outdoor Environment -- 4.1 Challenges and Opportunities of Outdoor Interaction -- 4.2 A Cyborgian Eco-interaction Design Model -- 5 Conclusion and Outlook -- References -- Machine Seeing -- A Large-Scale Measurement and Quantitative Analysis Method of Façade Color in the Urban Street Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Urban Color Planning -- 2.2 Façade Color Measurements -- 2.3 Quantitative Analysis of Visual Quality in Urban Street -- 3 Methodology -- 3.1 Study Area and Workflow -- 3.2 Street View Data Acquisition
• 2.1 Machine Learning with Generative Design -- 2.2 Reinforcement Learning -- 3 Methodology -- 3.1 Intuitive Random Walk Formation -- 3.2 RL Actions Definition -- 3.3 RL Observations Definition -- 3.4 RL Reward Definition -- 4 Discussions -- 4.1 Training Process and Outcomes -- 4.2 Further Research -- 5 Conclusions -- References -- Collection to Creation: Playfully Interpreting the Classics with Contemporary Tools -- 1 Introduction: Generations to Generative -- 2 Process: Beyond Codified Interaction -- 3 User Analysis -- 4 Media Creation -- 5 Synthetic Text Descriptions -- 6 Thoughts -- 7 Conclusion -- References -- embedGAN: A Method to Embed Images in GAN Latent Space -- 1 Introduction -- 2 Related Work -- 2.1 Regenerating Data in GAN -- 2.2 GAN Latent Walk -- 3 Method -- 3.1 Principle -- 3.2 Architecture -- 3.3 Training Details -- 4 Application -- 5 Evaluation -- 6 Conclusion -- References -- Research on Architectural Form Optimization Method Based on Environmental Performance-Driven Design -- 1 Introduction -- 2 Performance-Driven Design and Its Advantages -- 2.1 Performance-Driven Design Theory -- 2.2 Performance-Driven Design Advantages Compared with Bionic Form Design -- 3 Performance-Driven Architectural Form Optimization Method -- 3.1 Combined with Parametric Design -- 4 Form Optimization Simulation Process Establishment -- 5 Design Practice -- 5.1 Project Background -- 5.2 Design Parameters Selection and Numerical Constraint -- 5.3 Setting Simulation Parameters -- 5.4 Form Optimization Process Diagram -- 5.5 Result Analysis -- 6 Conclusion -- References -- Optimization and Prediction of Design Variables Driven by Building Energy Performance-A Case Study of Office Building in Wuhan -- 1 Introduction -- 2 Research Method -- 2.1 Research Objectives -- 2.2 Research Method
• 3.3 Building Façade Segmentation and Data Cleaning -- 3.4 Façade Color Calculation -- 4 Results -- 5 Discussion and Conclusion -- References -- Suggestive Site Planning with Conditional GAN and Urban GIS Data -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Acquisition and Feature Engineering -- 3.2 Machine Learning -- 3.3 Visualization -- 4 Case Study: Taking Boston as Example -- 4.1 Data Acquisition and Feature Engineering -- 4.2 Model Building and Training -- 4.3 Results and Visualization -- 5 Summary -- References -- Understanding and Analyzing the Characteristics of the Third Place in Urban Design: A Methodology for Discrete and Continuous Data in Environmental Design -- 1 Background -- 2 Methodology -- 2.1 Data and Data Structure for Manipulation -- 2.2 Pixel Structure for Continuous Data and Blending Data with Neighbors -- 2.3 Graph Structure for Discrete Data -- 3 Case Study Implementation -- 3.1 Site Selection -- 3.2 Parse Third Place Data and Visualization -- 3.3 Generate Data Structures and Inspect with Visualizations -- 3.4 Comparisons and Results -- 4 Discussion -- 5 Conclusion -- 6 Future Work -- References -- Sensing the Environmental Neighborhoods -- 1 Introduction -- 1.1 Sensing Kit Design -- 1.2 Case Study -- 1.3 Summary -- References -- A Performance-Based Urban Block Generative Design Using Deep Reinforcement Learning and Computer Vision -- 1 Introduction -- 2 Methodology -- 2.1 DRL Based Generative Design Framework -- 2.2 DDPG Agent -- 2.3 Hough Transform -- 3 Case Study -- 3.1 Observation, Action and Reward -- 3.2 Site Information -- 4 Results -- 5 Conclusions and Future Work -- References -- The Development of 'Agent-Based Parametric Semiology' as Design Research Program -- 1 Theory Background -- 2 Why We Need Agent-Based Life-Process Crowd Simulation
• 3 The Intelligence Upgrading of Agent-Based Crowd Simulation -- 3.1 Crowd Behaviour Pattern Analysis -- 3.2 Intelligent Agents -- 3.3 Semantic Virtual Environment -- 4 Quantitative Analysis, Evaluation, and Optimization -- 4.1 Methodology and Toolset -- 4.2 Scenario and Example -- 5 Discussion -- References -- Machine Learning -- Machine Learning Aided 2D-3D Architectural Form Finding at High Resolution -- 1 Introduction -- 2 Relative Work -- 3 Method -- 4 Results -- 4.1 Training Data Preparation -- 4.2 Main Network Training -- 4.3 Multiple Network Training -- 5 Conclusion -- References -- Exploration of Campus Layout Based on Generative Adversarial Network -- 1 Introduction -- 2 Related Work in the Field of Architectural Layout -- 3 Methods -- 4 Experimental Results and Analysis -- 5 Discussion -- Appendix -- References -- A Preliminary Study on the Formation of the General Layouts on the Northern Neighborhood Community Based on GauGAN Diversity Output Generator -- 1 Introduction -- 2 Research -- 2.1 AI Application in Architecture -- 2.2 Deep Learning Architectural Plan Generator Application -- 3 Methodology -- 3.1 GauGAN -- 3.2 Step Training -- 4 Machine Learning for the General Layout Shapes of the Northern Neighborhoods in China -- 4.1 Morphological Analysis -- 4.2 Data Conversion -- 4.3 Model Architecture -- 4.4 Vectorization and 3D Procedural Modeling -- 4.5 Experiment Result -- 5 Conclusion -- 5.1 GauGAN Is More in Line with Architectural Design Needs Than Pix2pix (Pix2pixHD) -- 5.2 The Use of Step Training Can Improve the Clarity of Generated Results and Allow the Later Vectorization to Be More Convenient -- References -- Artificial Intuitions of Generative Design: An Approach Based on Reinforcement Learning -- 1 Introduction -- 1.1 Contemporary Algorithmic Generative System -- 1.2 Artificial Intuitions -- 2 Background
• Intro -- Preface -- Committees -- Honorary Advisors -- Organization Committees -- Scientific Committees (list by surname) -- Contents -- Machine Thinking -- Machinic Phylum and Architecture -- 1 Nips and Bites -- 2 Ducks and Rabbits -- References -- Pipes of AI - Machine Learning Assisted 3D Modeling Design -- 1 Principle of CNN -- 1.1 Principle and Applications of Style Transfer -- 1.2 Project Goal -- 2 2D Image Representation of 3D Volume -- 2.1 The Effect of Style Weight in Style Transfer -- 2.2 Transformation of Image to Geometry -- 2.3 Algorithm Analysis of Geometry Generation Between Adjacent Layers -- 3 Result of Section Plans -- 3.1 Result of Perspective View -- 4 Conclusion -- References -- Developing a Digital Interactive Fabrication Process in Co-existing Environment -- 1 Introduction -- 2 Related Work -- 2.1 Fabrication Process of Maker -- 2.2 Towards Co-existing Environment -- 2.3 Automation Digital Fabrication Tools -- 2.4 Summary -- 3 Methodology -- 4 The Experiment -- 5 Conclusions -- References -- Real-Time Defect Recognition and Optimized Decision Making for Structural Timber Jointing -- 1 Introduction -- 2 Defect Recognition and Removal -- 2.1 Pre-process the Image for Segmentation -- 2.2 Preparation of the Classifier -- 2.3 Preparation of the Classifier -- 3 Decision Making for Joining Timber Segments -- 4 User Interface -- 5 Discussion and Future Development -- 6 Conclusion -- References -- On-Site BIM-Enabled Augmented Reality for Construction -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 1.3 Our Solution -- 2 AR Application -- 2.1 Model Overlay Using Augmented Reality -- 2.2 Model Interaction as Query System -- 2.3 Abstraction of Drawings -- 2.4 Additional Features -- 3 Data Pipeline -- 3.1 BIM Pre-processing, Custom Parameter Creation and Population
• 2.3 Multi-Island Genetic Algorithm (MIGA) and Radial Basis Functions Artificial Neural Networks (RBF-ANNs)