Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019)
This book presents selected papers from The 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019). Focusing on novel architecture theories, tools, methods, and procedures for digital design and construction in architecture, it promotes dialogs between architecture,...
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          | Main Authors | , , , , | 
|---|---|
| Format | eBook | 
| Language | English | 
| Published | 
        Singapore
          Springer Singapore Pte. Limited
    
        2020
     Springer Nature Singapore Springer  | 
| Edition | 1 | 
| Subjects | |
| Online Access | Get full text | 
| ISBN | 9811565678 9789811565670  | 
| DOI | 10.1007/978-981-15-6568-7 | 
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| Abstract | This book presents selected papers from The 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019). Focusing on novel architecture theories, tools, methods, and procedures for digital design and construction in architecture, it promotes dialogs between architecture, engineer, computer science, robotics, and other relevant disciplines to establish a new way of production in the building industry in the digital age. The contents make valuable contributions to academic researchers and engineers in the industry. At the same time, it offers readers new ideas for the application of digital technology. | 
    
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| AbstractList | This book presents selected papers from The 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019). Focusing on novel architecture theories, tools, methods, and procedures for digital design and construction in architecture, it promotes dialogs between architecture, engineer, computer science, robotics, and other relevant disciplines to establish a new way of production in the building industry in the digital age. The contents make valuable contributions to academic researchers and engineers in the industry. At the same time, it offers readers new ideas for the application of digital technology. | 
    
| Author | Yuan, Philip F Wang, Xiang Xie, Mike Leach, Neil Yao, Jiawei  | 
    
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| Copyright | Springer Nature Singapore Pte Ltd. 2020. Funded by National Key R&D Program of China (Grant No.2016YFC0702104), Shanghai Science and Technology Committee (Grant No.17dz1203405) and College of Architecture and Urban Planning (CAUP), Tongji University, China. | 
    
| Copyright_xml | – notice: Springer Nature Singapore Pte Ltd. 2020. Funded by National Key R&D Program of China (Grant No.2016YFC0702104), Shanghai Science and Technology Committee (Grant No.17dz1203405) and College of Architecture and Urban Planning (CAUP), Tongji University, China. | 
    
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| DOI | 10.1007/978-981-15-6568-7 | 
    
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| EISBN | 9789811565687 9811565686  | 
    
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| Editor | Wang, Xiang Xie, Mike Leach, Neil Yao, Jiawei Yuan, Philip F.  | 
    
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| Snippet | This book presents selected papers from The 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019). Focusing on novel... | 
    
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| SubjectTerms | Computer Science Computer-Aided Engineering (CAD, CAE) and Design Engineering Robotics Robotics and Automation Simulation and Modeling  | 
    
| Subtitle | Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019) | 
    
| TableOfContents | 1.1 Human Features: Technical Threshold for Digital Manufacturing -- 1.2 Digital Features: Digital Interface into the Reality -- 1.3 Physical Features: Manufacturing Tools into the Digital -- 2 Related Work -- 2.1 Human Features: Threshold for Digital Manufacturing -- 2.2 Physical Features: Robot Arm Application -- 2.3 Digital Features: Mixed Reality Applications -- 2.4 Summary -- 3 Materials and Methods -- 3.1 The User Journey Map -- 3.2 CoFabs System Architecture -- 4 The Experiment -- 5 Results and Discussion -- 6 Conclusion -- References -- Materializing Intelligence -- 3d-Printed Bending-Active Formwork for Shell Structures -- 1 Introduction -- 2 Bending-Active Structure and the Geometry of Bending -- 3 Simulation and Determination of the Bending-Active Form -- 3.1 Dynamic Relaxation Method -- 3.2 Finite Element Method -- 4 Printing Technique and a Pre-research Pavilion -- 4.1 3d Printing Technique -- 4.2 Design and Bending Test -- 5 Workflow and the Prototyping Tile-Vaulted Brick Shell -- 5.1 Design Workflow -- 5.2 Fabrication -- 5.3 Bending Test and On-Site Assembly -- 6 Conclusion -- References -- A Computational Approach for Knitting 3D Composites Preforms -- 1 Introduction -- 2 State of the Art -- 3 Partial Knitting -- 4 Description of the Approach -- 4.1 Generation of Wales -- 4.2 Generation of Courses -- 4.3 Generation of 2D Knitting Map -- 4.4 Stitch Placement Optimization -- 4.5 Pattern Variations -- 5 File Conversion -- 6 Results -- 7 Discussion and Outlook -- References -- Correction to: CoFabs: An Interactive Fabrication Process Framework -- Correction to: Chapter "CoFabs: An Interactive Fabrication Process Framework" in: P. F. Yuan et al. (eds.), Architectural Intelligence, https://doi.org/10.1007/978-981-15-6568-7_17 4.1 Parameter Representation -- 4.2 Workflow -- 4.3 Customize hardware -- 5 Human-Machine Collaboration in Digital Fabrication -- 5.1 Real-Time Communication -- 5.2 Path Plane Optimization -- 5.3 Layer Printing and Spatial Structure Printing -- 5.4 Other Processes -- 6 Conclusion -- References -- Interdisciplinary AI: A Machine Learning System for Streamlining External Aesthetic and Cultural Influences in Architecture -- 1 Introduction: Disciplinary Autonomy and Cultural Engagement in the Post-digital Era -- 2 Contemporary Generative Design Tools: Simulation-Based Procedural Modeling Versus Machine Learning and Artificial Neural Networks -- 3 Process -- 3.1 Documentation of Selected Architectural Landmarks -- 3.2 Precedent Research and Selection of Interdisciplinary Aesthetic Influences -- 4 Method -- 4.1 Artistic Style-Transfer with Convolutional Neural Networks on Architectural Drone Footage -- 4.2 Relevance of the Style Image -- 4.3 Style Weight and Multiple Input Styles -- 4.4 Feature Extraction of Architectural Elements -- 4.5 2D Image Translation to 3D Models -- 4.6 Architectural Style-Transfer on Drone Footage -- 5 Conclusion -- References -- ArchiGAN: Artificial Intelligence x Architecture -- 1 Representation, Learning, and Framework -- 2 Precedents -- 3 Stack and Models -- 3.1 Model I: Footprint -- 3.2 Model II: Program -- 3.3 Model III: Furnishing -- 4 UI and Experience -- 5 Model Chaining and Apartment Building Generation -- 6 Going Further -- 7 Limitations and Future Improvements -- 8 Conclusion -- References -- Advanced Timber Construction Platform Multi-Robot System for Timber Structure Design and Prefabrication -- 1 Introduction -- 1.1 Timber Machining Center -- 1.2 Robotic Timber Construction -- 2 Development of Advanced Timber Construction Platform -- 2.1 Purpose -- 2.2 Structure -- 2.3 Infrastructure and Tools -- 2.4 Sensing System Intro -- Committees -- Honorary Advisors -- Organization Committees -- Scientific Committees -- Contents -- Introduction -- Introduction -- 1 Introduction -- 2 Material Intelligence -- 3 Swarm Intelligence -- 4 Artificial Intelligence -- 5 Extended Intelligence -- 6 Cyborg Intelligence -- 7 The Future of Artificial Intelligence -- 8 The Future of Architectural Intelligence -- References -- Rethinking Intelligence -- What About Humans? Artificial Intelligence in Architecture -- 1 Automation, from Myth to Reality -- 2 Big Data, Machine Learning, and Architectural Conversation -- 3 The Automation of Design and Fabrication -- 4 What About Humans? -- 5 Updating the Myth: The Need for a New Poetics -- References -- An Architecture for Cyborg Super-Society -- 1 Becoming Human and Super-Human via Design -- 2 Languages and New Modes of Communication -- 3 Speculation: The Designed Environment as Total Communication -- 4 Example: The Design of a Spatio-Visual Semiological System -- References -- Do Robots Dream of Digital Buildings? -- 1 Can AI Dream? -- 2 Reality as a Controlled Hallucination -- 3 Generative Adversarial Networks (GANs) -- 4 Architectural Applications of GANs -- 5 Can AI Be Creative? -- 6 Conclusion -- References -- A Hybrid Creativity in Architecture: From Brain Plasticity to Augmented Design Intelligence -- 1 Introduction: Intelligence in Digital Tools -- 2 A Phenomenological Approach to Tool Thinking -- 3 Brain Plasticity and Body-Tool Incorporation -- 4 Digital Tools as the Extension of Human Intelligence -- 5 Design Novelty with Hybrid Intelligence -- References -- Collaborative Intelligence -- Toward a Collaborative Robotic Platform: FUROBOT -- 1 Introduction -- 2 Collaborative Thinking in Intelligent Fabrication -- 3 Collaborative Platforms of Robotic Fabrication -- 4 Research and Development of FUROBOT Comparison of BESO and SIMP to Do Structural Topology Optimization in Discrete Digital Design, and then Combine Them into a Hybrid Method -- 1 Context of Discrete Design and Topology Optimization -- 1.1 Background of Digital Design and Discrete Assembly -- 1.2 Topology Optimization and Architecture Design -- 2 Existing Topology Optimization Methods-SIMP and BESO -- 2.1 Solid Isotropic Material with Penalisation (SIMP) -- 2.2 Bi-Directional Evolutionary Structural Optimization (BESO) -- 3 Project TRANSFOAMER -- 4 BESO and SIMP Based on Project TRANSFOAMER -- 4.1 BESO in TRANSFOAMER -- 4.2 SIMP in TRANSFOAMER -- 4.3 Hybrid Method of BESO and SIMP -- 4.4 Comparison of the Results -- 5 Applying to Project TRANSFOAMER -- 6 Conclusion -- References -- Interactive Intelligence -- Emotional Intelligence: Affective Computing in Architecture and Design -- 1 Introduction -- 2 Detecting Emotion: Emotional Computing -- 3 Provoking an Emotional Response -- 4 Facial Expression Tracking -- 5 Opale: An Emotive Soft Robotic Garment -- 6 Mesolite: An Emotive Display -- 7 Conclusion and Future Work -- References -- Designing an Architectural Robot: An Actuated Active Transforming Structure Using Face Detection -- 1 Introduction -- 2 Related Work -- 3 Architectural Robot with Lifelong Autonomous Agenda -- 4 Method: Design Through Prototyping Systems -- 5 Case Study: An Actuated Active Transforming Structure -- 6 Autonomous Agenda -- 7 Modular Transformation -- 8 Actuation System: Pneumatic Artificial Muscle and Bow Connection -- 9 Fabrication, Experiment, and Measurement of the PAM Actuator -- 10 Pressure Control Unit (PCU) -- 11 Electronics and Integral Prototype of PCU -- 12 Interactions: Wandering and Teasing -- 13 Results and Future Work -- 14 Discussion -- References -- CoFabs: An Interactive Fabrication Process Framework -- 1 Introduction 2.5 Control System -- 3 Application Scenarios -- 3.1 Nomadic Wood(Looking) -- 4 Discussion and Outlook -- References -- Iterative Intelligence -- Bioinspired Generative Architectural Design Form-Finding and Advanced Robotic Fabrication Based on Structural Performance -- 1 Introduction -- 2 Basic Theory of BESO Method -- 3 Form-Finding Based on BESO -- 3.1 Model Definition -- 3.2 BESO Topology Optimized Iterations -- 3.3 Post-Modification -- 4 Advanced Robotics Fabrication -- 4.1 Application of KUKA Robotics -- 4.2 Modified Printing Path Code for Fractal-Like Geometries -- 4.3 Printing Parameters -- 4.4 Joint Design and Assembly Methodologies -- 5 Conclusion and Future Works -- References -- A Question of Style -- 1 A Closer Look into the Suspicious Noun Style -- 2 How Algorithms Define Style -- 3 Neural Style Transfer (NST) as a Tool of Architectural Interrogation -- 4 Style and Artificial Intelligence -- References -- Day-Night Scene Transfer for Architectural Renderings Based on Color Transfer Approaches -- 1 Introduction -- 2 Related Work -- 2.1 Image Feature Extraction -- 2.2 Nearest-Neighbor Field Search -- 2.3 Local Color Transfer -- 2.4 Fast Guided Filter -- 3 Method -- 3.1 Overview -- 3.2 Feature Normalization -- 3.3 Adding Extra Features -- 3.4 Algorithm Implementation Scheme -- 4 Evaluation and Results -- 4.1 Performance -- 4.2 Evaluation -- 4.3 Day-Night Scene Transfer -- 4.4 Creating Full-Moon Night Renderings -- 5 Conclusion -- References -- Form Finding and Evaluating Through Machine Learning: The Prediction of Personal Design Preference in Polyhedral Structures -- 1 Introduction -- 1.1 3D Graphic Statics -- 1.2 Subdivision of Force Diagrams -- 2 Methodology -- 2.1 Preference Test -- 2.2 Machine Learning -- 3 Results -- 3.1 Comparative Models Evaluation -- 3.2 Preference Model Evaluation -- 4 Conclusion and Discussion -- References  | 
    
| Title | Architectural Intelligence | 
    
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