Fields at Play identifies the value of gender inequality in Olympic infrastructure and proposes to leverage the derived $12.6B Olympic gender gap in sports facilities to fund the revitalization and ongoing program of reliable, safe, and comfortable spaces for women at risk of gender-based violence. Understanding the purpose and outcomes of Olympic infrastructure strategies in … Read more
Context Inter Disciplinary In this project, we explore the intersection of digital nomadism, autonomous mobility, and AI-enabled sensing technology. Inspired by thinkers like Tsugio Makimoto, Pierluigi Coppola, and Tim Ferriss, we aim to create an autonomous living space that supports a mobile, remote work lifestyle. The COVID-19 pandemic has accelerated the rise of digital nomadism, … Read more
GENERATIVE AI Abstract In today’s evolving architectural landscape, the convergence of technology and design offers unprecedented opportunities to enhance human well-being and promote sustainability. At the forefront of this innovation is ISO-COMFORT, a pioneering project that leverages Generative AI to create isometric models emphasizing thermal comfort and sustainable design. This blog post explores the development … Read more
The Case of Tourism in Barcelona The “Guidebook on Urban Degrowth” explores applying degrowth principles in urban planning to promote social well-being and ecological equity in cities. This thesis develops guidelines to shift from high-consumption economic models to those that emphasize environmental balance and social equity. Focusing on Barcelona, it addresses the challenges of over-tourism, … Read more
Hypothesis The goal of this research was to investigate if open spatial data could predict Yelp ratings utilizing graph machine learning (GML) methods. We hypothesize that urban phenomena, events, and objects will indicate customer reviews and popularity, and therefore, could be used predict ratings. In particular, we perform edge classification using the DGL library. For … Read more
Frist Research Mebolsim What is Metabolism? Building of Metabolsim Masterplan of Metabolism Comaprison, Masterplan Tokyo by Kenzo Tange vs Comptemporary Tokyo Comaprison1 Theory Comaprison2 City Plan Comparison3 Area plan Comparison4Building Comaprison Conclusion
Abstract The project explores the implementation of machine learning models to generate LEGO building instructions manuals and providing a detailed description of the set. We employee diffusion models along with LLM (Large Language Model) to generate both the images of the Lego set and its description. LoRA (Low-Rank Adaptation) we train a stable diffusion model … Read more
Artificial Inspiration – Dissecting the Creative Process Creativity is often viewed as a uniquely human trait, emerging from the processes of study, interpretation, replication, and mixing variables to create new combinations and results. This project explores whether it is possible to develop a framework based on these principles that AI can reproduce and whether this … Read more
Abstract: The ReWeave project develops a robotic system to repurpose construction and demolition (C&D) waste into functional, attractive walls, enhancing human-robot collaboration. We created a database by scanning broken tiles to extract shape, size, and color information, then developed custom nesting algorithms to optimize tile arrangement. The workflow includes scanning tiles, exporting outlines via ROS, … Read more
This post describes the development of a method to predict metro station locations using Graph Neural Networks (GNNs). Our journey began with a challenge familiar to urban planners: how to strategically place new metro stations to optimize transportation networks. In this case the city of Stockholm was used as testbed. The Challenge of Data Imbalance: … Read more
Exploring architectural identity of the city with 3D GAN and Stable Diffusion with case study of Kazan This research proposes to explore the ability and accuracy in styding and representing architectural identity of the city through the set of artistic experiments with all generated 3d geometry and 2d images in order to meet expectations of … Read more
Beginnings Our project’s concept is to develop a classification model that identifies street intersections (graph nodes) in Stockholm, Sweden, susceptible to flooding during a 100-year flood event. Based on our initial research, we found that graph machine learning operates at three levels: the graph, its edges, and its nodes. With access to a 100-year flood … Read more
TIMBER SENSING TECHNOLOGY A material system combining timber and graphene, replacing traditional sensors through graphene’s sensing capabilities. This innovative approach allows first, real-time tracking of deformations inside the wood. Second, creating a digital twin that improves maintenance efficiency in the operational phase. Third, providing a detailed service life passport, this system supports reuse and reduces … Read more
नमस्ते – مرحبًا – OLÁ – HOLÁ AIM Our aim is to make Human Robot Collaboration accessible to a variety of users via different languages by developing a speech to toolpath interface. RELEVANCE METHOD Workflow As the participant enters the room, they are greeted by a robot with a friendly waving motion. The participant can … Read more
Skyscrapers are human achievements that require innovation in the extraction of land to tower over its neighbors. The third skyscraper future reflects the past imaginary of Fritz Lang’s, Metropolis. This visualization aims to highlight the economic disparities and labor oppression depicted in the film, contrasting them with the modern logics of rentism as embodied by … Read more
What if you can control your Cobot with only hand gestures and you can work effortlessly? That’s what we came up with this experiment of using Multi agent systems to control the engagement of a collaborative robot (ur10e).Our workshop highlights an innovative approach to controlling cobots using hand gestures. This method aims to facilitate effortless … Read more
Building Together, One Word at a Time AIM The aim of this project is to enhance human-robot collaboration through the development of a user-friendly system that creates an inclusive environment. Text-to-speech (TTS) and speech-to-text (STT) systems enable humans and robots to communicate in anintuitive and engaging way. Relevance One major issue was that the human … Read more
This project explores a framework for Human-Robot Collaboration (HRC) and behavioural fabrication, focusing on constructing a Jenga-like tower using small timber blocks. Using the Agent-Based Modeling system (ABxM) from the Institute for Computational Design and Construction (ICD), a communication network was established integrating a human participant, a computer vision system, and an interactive audio interface. … Read more
“Can we understand urban environments and street characteristics from Google Street View panorama images using Machine Learning and Stable Diffusion techniques?” Project OverviewThis computational design project aims to develop a pipeline utilizing Grasshopper and Python to visualize clusters of panoramic streetscape images. The project leverages t-Distributed Stochastic Neighbor Embedding (t-SNE) for dimensionality reduction, facilitating the … Read more
Grasshopper is an incredibly versatile tool that in recent years has expanded into fields far beyond the origins in three-dimensional parametric design. One of these fields is that of GIS analysis, which has traditionally been approached through software such as QGIS. The advantages of Grasshopper and Rhinoceros3D over QGIS include the versatility and customisability of … Read more
Introduction This presentation outlines the development and evaluation of machine learning models aimed at predicting the availability of bikes at various bicing stations in Barcelona. We’ll discuss the variables involved, the modeling techniques used, and compare the performance of different models. Python is a friendly environment for preparing, training and forecasting machine learning algorithms within … Read more
