Github : https://github.com/Clarrainl/UN_LOG-Factory | INTRODUCTION | Detecting wood defects in 3D-scanned logs using Machine Learning In the timber industry, a significant portion of wood gets discarded due to irregularities or defects that make it unusable under standard practices. However, many of these logs can still be used creatively or structurally if properly understood and classified. This project … Read more
GenAI for Game Environment Creation OverviewUrban environments in games play a crucial role in crafting immersive, dynamic worlds that captivate players and enhance storytelling. These settings not only shape the game’s atmosphere but also introduce strategic challenges and reflect cultural, social, and architectural identities, making virtual spaces feel authentic. However, creating high-quality, realistic game environments … Read more
Leveraging Advanced BIM Strategies for Complex Architectural Realization Contextual Framework – Traditional BIM workflows often struggle to accommodate the complex, fluid geometries characteristic of avant-garde architectural designs, creating a gap between conceptual vision and buildable reality. Key Insight – Customized BIM workflows incorporating AI, computational design, and bespoke coding can enable the realization of complex … Read more
AI for Robotic Fabrication Real-time control in fabrication spaces is essential for enhancing operational efficiency, minimizing risks, and ensuring worker safety. In dynamic manufacturing environments, accurately locating and tracking elements—such as machinery, tools, materials, and personnel—can drastically reduce accidents, optimize workflows, and streamline resource management. Through this project, we aim to integrate advanced sensing technologies, … Read more
Can an AI agent learn how to carve a shape — not by following a predefined path, but by figuring it out on its own? Inspired by the precision of traditional craftsmanship, especially techniques like Japanese joinery where every cut matters, we wanted to see if a machine could learn that same logic in a … Read more
A Methodological Approach to Urban Morphology and Hybrid Energy Systems in the Global South Project Statement: “Even as we advance in Energy Innovation, our cities continueto grapple with deep inequalities. In this research, I proposerethinking Urban Morphology—not merely as the physicalform of our settlements, but as a strategic lever for equitableenergy solutions. The conceptual Energy-Morphology … Read more
SecondMatter challenges architecture’s extractive processes and wasteful material cycles by upcycling Construction Demolition Renovation Waste (CDRW) into structural and non-structural applications. It blends ramming, which compacts granular materials into high-strength forms, with jamming-inspired interlocking of irregular aggregates. Large concrete waste pieces form a reinforced core, wrapped in a rammed mix of fine brick and concrete … Read more
Contemporary architecture often prioritizes humans at the expense of ecological balance, distancing us from nature and other species. This thesis envisions a future where buildings evolve into living, adaptive frameworks that foster interspecies mutualism. By integrating third-order cybernetics, machine learning, and AI, architecture can become a mindful mediator, enhancing relationships between humans and other species. … Read more
Manual floorplan generation for high-rise residential buildings is labor-intensive and often overlooks key environmental parameters, limiting the ability to quickly assess performance-based design alternatives.
https://github.com/PaintDumpster/ai_for_robotic_fabrication.git In the field of robotic fabrication, precision is everything! Yet there’s often a significant gap between a simulated toolpath and the real-world movement of a robotic arm. Subtle discrepancies can lead to printing errors, structural issues, or failed prototypes. We explored how AI can be used to minimize this gap. This investigation sits at … Read more
Context How? Where? Workflow Outputs
ABSTRACT; Decoding Urban Mobility: This project evaluates the impact of AI-driven traffic management versus conventional fixed-timing methods on urban congestion. It analyzes real-time and historical data—including traffic patterns, weather, demographics, and incident reports—from cities like London, Barcelona, and Los Angeles and compares machine learning models (e.g., LSTM, GRU, XGBoost) with traditional techniques. The study identifies … Read more
Introduction Urban areas are increasingly becoming impermeable, exacerbating environmental challenges such as elevated temperatures, flooding, and pollution. EcoNodes is designed to empower policymakers with a sophisticated tool for dynamically assessing and adapting urban environments towards increased sustainability by pinpointing and prioritizing areas for green interventions. Impervious Surfaces and Urban Heat Islands Cities today face the … Read more
This thesis explores the use of generative AI to transform 2D image prompts into fabricatable 3D pavilion designs using timber sheet-based CNC milling. By developing a workflow from AI-driven image generation to mesh segmentation and fabrication detailing, the research aims to bridge the gap between conceptual design and physical realization. The outcome is a phygital … Read more
Flood Resilience Toolbox: AI-Powered Solutions for a Sustainable Future Flooding is the most frequent and costly natural disaster worldwide, with annual damages exceeding €38 billion. By 2050, this figure could rise to $64 billion, impacting millions of lives. Coastal cities, particularly in Southeast Asia, are at high risk due to rapid urbanization, sinking land, and … Read more
