IAAC’s Master in AI for Architecture & the Built Environment is a unique program oriented towards leading the change in decarbonising human activities and crafting a more sustainable, resilient future urbanisation for our planet. Through an innovative curriculum deeply rooted in AI applications, the program pioneers novel AI-driven solutions that not only respond to the pressing challenges of our time but also set a new standard for environmentally and socially conscious co-design and planning. The Master in AI for Architecture & the Built Environment is training the professionals that city administrations, governments, industries, and communities need, to transform the built environment in the era of digital technologies.
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
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
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
In pick-and-place robotics, a robotic arm must move from a start position to a target location (e.g., to pick or place an object) while safely navigating around obstacles. These obstacles may vary in size, severity, or risk — requiring the robot to adapt its path based on the workspace condition. This project simulates the core … Read more
In response to the increasing global population of visually impaired individuals, projected to reach 18.5% by 2050, our project focuses on enhancing the accessibility of architectural spaces, particularly in primary healthcare centers. We have developed the Building Analysis Tool (BAT), an solution designed to assist architects in creating environments that cater to the needs of … Read more
The work presented in this blog post explores how UX and UI tools can be used to create a more accesible and interactive platform to this research group’s main project in the Research Studio class. By using tools like Figma and programming in HTML, CSS and JAVA, we try to apply the learnings into AI … Read more
The first three exercises focused on designing and coding a landing page, visualizing geospatial data on Mapbox, and creating an interactive 3D experience with Three.js, each progressively building skills in design, data integration, and interactivity to address real-world challenges. ⠀ SeisNAV – User interfaces This project involved designing user interfaces for SeisNAV with a focus … Read more
Abstract The project explores innovative ways to address Barcelona’s sustainability challenges, such as carbon emissions, air pollution, and energy inefficiency.By leveraging AI, IoT sensors, and Nature-Based Solutions (NBS), the project aims to optimize municipal budgets for interventions that transform underutilized urban spaces into productive assets. The study highlights solutions like urban farming, greenery, and solar catchment systems, evaluated … Read more
Our project tackles the challenges of sustainability, inclusiveness, and aesthetics in the built environment through a platform inspired by the European Bauhaus initiative (NEB). With an annual funding pool of €120 million, this initiative motivates us, as designers, to create environmentally responsible and socially inclusive designs. Our platform bridges the gap between complex NEB guidelines … Read more
Abstract: Natural disasters, especially earthquakes, often leave roads blocked, buildings collapsed, and maps outdated, making navigation and response efforts highly challenging, That’s where we operate. Our project SeisNAV is an AI-powered platform that combines satellite imagery and computer vision to detect collapsed structures and road blockages, providing real-time mapping and navigation tools for disaster response … Read more
Abstract In response to the increasing global population of visually impaired individuals, projected to reach 18.5% by 2050, our project focuses on enhancing the accessibility of architectural spaces, particularly in primary healthcare centers. We have developed the Building Analysis Tool (BAT), an solution designed to assist architects in creating environments that cater to the needs … Read more
Abstract The project explores innovative ways to address Barcelona’s sustainability challenges, such as carbon emissions, air pollution, and energy inefficiency. By leveraging AI, IoT sensors, and Nature-Based Solutions (NBS), the project aims to optimize municipal budgets for interventions that transform underutilized urban spaces into productive assets. The study highlights solutions like urban farming, greenery, and … Read more
Microcontrollers This project focuses on creating an automated door system designed to enhance accessibility, particularly in healthcare environments such as hospitals and clinics. Using an ultrasound sensor to detect distance, the system provides auditory guidance and ensures safe and efficient door operation for users, including those with visual impairments. The system is programmed to announce … Read more
Abstract:Emergency response planning is a vital aspect of urban resilience, requiring precise decisions on resource allocation and infrastructure placement. In our research, we explored how data-driven tools can optimize emergency response times using geospatial analysis and computational design methods. Focusing on Kadikoy district in Istanbul, we simulated ambulance routes from stations to emergencies and onwards … Read more
