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.
Intelligent Prototyping Combining Microcontrollers & Robotic Fabrication: Obstacle Detection – Notification System & Clay Pots
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
Data Driven Emergency Response Planning in Kadıköy, Istanbul
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
Data Driven Design: Populating & Visualizing Walls for GraphRAG
The work presented in this blog post is a study on how to with code and visual tools the creation and representation of the data this research group has been using for a main project in Research Studio. It explores the integration of data-driven design methods to support sustainable facade development and align with environmental … Read more
Green Enough? Assessing Barcelona’s Compliance with EEA Green Space Standards Per Capita Using Geospatial Analysis.
AbstractGreen spaces play a critical role in enhancing urban livability by improving air quality, reducing urban heat island effects, and promoting mental and physical well-being.This project evaluates the spatial distribution of green spaces in Barcelona and their compliance with the European Environment Agency (EEA) standard of 9 m² of green space per person. By overlaying … Read more
Intelligent Prototyping using Robot & Arduino
Integrating Robotics and Microcontrollers in Architecture: From 3D-Printed Clay Pots to Seismic Safety
Abstract: In this class on Intelligent Prototyping within the MaAI program, we explored two distinct approaches to prototyping: 3D printing with robotic arms and real-time sensing with microcontrollers. Using parametric modeling tools, specifically Grasshopper, we designed and fabricated a series of 3D-printed clay pots. These included small, medium, and large-scale pots, with a focus on … Read more
Intelligent Prototyping: robotics and micro-controllers
The work presented in this blog post is an approach combining Robotics and Microcontrollers as preparation for a main Research Studio project focused on sustainable facades and environmental guidelines. This represents our first steps in exploring these fields and their connections with Artificial Intelligence in Architecture and the Built Environment. In the Robotics domain, the … Read more
AI-Driven Inclusive Design: Topology Graph Analysis and NLP for Accessibility Solutions in Architecture
This project focuses on improving the accessibility and inclusivity of hospital environments for visually impaired individuals. Centered on Spain’s Primary Care Centres (CAPs), the initiative addresses critical navigation challenges faced by this community. By leveraging AI-driven tools, including topological graph analysis and semantic segmentation, the project provides architects with actionable insights to design healthcare spaces … Read more
Implementation of CNNs, SOMs and SVMs in post disaster analysis with drones
Introduction:The AI Theory class has provided us with comprehensive foundation in artificial intelligence, covering both fundamental principles and advanced methods. Through topics such as clustering, neural networks, evolutionary computing, and decision-making models, the course aims to equip students with the theoretical knowledge and practical insights needed to apply AI across various fields, including disaster management … Read more
Evolutionary Algorithm to Optimize Resource Allocation for Sustainable Solutions
The problem we are addressing is the critical challenge of resource allocation for sustainable solutions in cities. Our focus is on how to meet environmental standards effectively by choosing efficient solutions while staying within budget.The challenge cities face is resource allocation. Urban sustainability demands meeting environmental standards within tight and specific budgets. The task is … Read more
AI theory: Using NLP – Graph Rag for AI Suggestions in Facades, based on environmental guidelines
This project leverages Graph Retrieval-Augmented Generation (Graph RAG) to provide intelligent facades configuration recommendations aligned with the New European Bauhaus (NEB) principles. This post presents how we apply AI theory approaches for reaching the stablished target. The project correlates quantitative data and qualitative guidelines, by integrating 17% of the assessed metrics in this guidelines and creating … Read more
