TRAILS SHADES PATHS

// COMPUTATIONAL OPTIMISATION STRATEGY // An exploration to connect entry points in a plot for means of access, in a urban setting offering shades, across visibility, optimised for trails adapting to the existing landscape DESIGN OBJECTIVES

Hey Jarvis, let’s Collaborate!

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

Islands & Fortresses: the future of the Skyscraper?

“Blade Runner 2049” is a good example of how urban landscapes will be shaped differently in response to environmental collapse and societal stress. Designed by communities dominated by fear of losing their stability under an authoritarian social logic, the film features Las Vegas and Los Angeles. Reimagined as part of Bruce Sterling’s, What skyscrapers might … Read more

WOOD ID mockups

Site The city of Porto Alegre in Brazil has faced recently the largest flood in the recorded history. The 2nd place happened 80 years ago across the span of 22 days. This year, this record was broken in 4 hours. As for now, only for the city of Porto Alegre, more than 242 thousand homes … Read more

A FISHERMAN’S TALE 渔夫的故事

Harmonising Coastal Futures, Restoring Balance in China’s Maritime , A Speculation of Communal Synergy in the context of Houtouwan THE PROBLEM // RESOURCE EXPLOITATION | OVER FISHING China’s over fishing crisis looms large, statistics revealing a stark reality of declining marine resources. With the majority of the worlds fishing resources coming from China, the country has … Read more

Panoramic Vision: Computational Streetscape Analysis

“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

Predicting Biking Station Vacancy in Barcelona

Introduction Urban transportation planning relies on data science to explain the conditions driving mobility patterns. This exploration of bicing, Barcelona’s resident bike rental program, analyzes the actors impacting discrepancies in bicing data to select machine-learning strategies able to predict biking station vacancies across Barcelona for the year 2024 with an accuracy of 0.02387. With this … Read more

Peacock Immersive Experience

Concept Most of Virtual Experiences are designed and model for humans and by humans. In this scenario believe the overall concept is that the game platform is seen from the perspective of an animal. References Aim “Our goal is to offer humans a unique experience through the eyes of a peacock. This game platform immerses … Read more

Machine Learning to predict no. of seating spaces

Aim: To predict the number of seating spaces based on various types of seating layout, number of corridors and dimensions of generative enclosed rectangular spaces such as an auditorium. Objectives: Dataset Design: To create Dataset for the required problem, a synthetic dataset is designed with the help of various bylaws supporting the problem. Data Analysis: … Read more

Timber outlook

The project’s objective was to create a machine-learning model capable of classifying repurposed timber components within an assembly process as either structural or non-structural, using factors such as defect quantity, age, and exposure to weather conditions as input. Dataset Generation and Analysis The dataset was produced using Roboflow by utilizing scans of the timber elements … Read more

Predicting Ceramic Underglaze Colors

Our aim is to develop a machine learning model that accurately predicts the color outcome of ceramic underglazes based on their ingredient compositions and firing conditions. In the world of ceramic art, the process of underglazing involves applying colors to pottery which are then sealed under a transparent glaze before firing. However, predicting the final … Read more

From following instructions to autonomy

The project started with an experiment to see if an agent could follow a line and illuminate its path to see obstacles. The light is composed of isovits and only the ones in front of the agent are colored. The experiment went then to make the light 3D to illuminate buildings facades. Many approaches were … Read more