The Master in Robotics and Advanced Construction (MRAC) seeks to train a new generation of interdisciplinary professionals who are capable of facing our growing need for a more sustainable and optimised construction ecosystem. The Master is focused on the emerging design and market opportunities arising from novel robotic and advanced manufacturing systems.
Through a mixture of seminars, workshops, and studio projects, the master programme challenges the traditional processes in the Construction Sector. It investigates how advances in robotics and digital fabrication tools change the way we build and develop processes and design tools for such new production methods.
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
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
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
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
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
“In the dawn of this new era, the construction industry stands at the threshold of transformation, poised to redefine its legacy through the power of Artificial Intelligence (AI) and comprehensive data analytics.”* This manifesto aims to put forward the benefits of AI and how it can help the The construction business be improved by collecting … Read more
The integration of a rover or swarm of rovers into construction demolition sites represents a paradigm shift in waste management practices. Equipped with advanced sensors and AI algorithms, this rover possesses the capability to accurately identify and segregate valuable materials such as steel and metal amidst debris and rubble. These rovers operate seamlessly alongside human … Read more
ROBOTIC SOLUTIONS FOR 3D SPACE ANALYSIS AIM This workshop ran in collaboration with Noumena and IAAC where we were introduced to a environmental scanning and data processing workflows which combined the use of photogrammetry and point-cloud data. The site of the study was at IAAC’s new building which is yet to be constructed. From this … Read more
Aim The project was aimed to develop a methodology to detect damages in walls with the help of Yolo’s trained models furthering to gain the quantitative and economic analysis of the development any project. Workflow Initially, we conducted a site scan using an RGB camera of Dji drone the site was mapped section by section … Read more
Aim The main objective is to generate a new formation of point cloud of the new IAAC building, that is inspired from a style (Artistic /Architectural) using AI / Machine learning and change the existing point cloud with the the new stylized point cloud. State of The Art Image-to-image translation is a class of vision … Read more
Context I-P_Maper(Intersection Point Mapper) is a project based on ROS and scanning. It mainly focuses on controlling the robot tool path to scan and get the data we want. Given the time constraints, we maximized our efforts and performed a series of tests in order to develop a program that could accurately identify up to … Read more
Context Is additive manufacturing going to change the way we fabricate? Certainly it is, additive manufacturing has an immense growth potential with a 22% annual growth as it has offers mass customization and reduced waste. One of the challenges in additive manufacturing is to improve the precision and reliability of the manufacturing process. This can … Read more
Changing architecture with AI Market study Architecture as a profession is well know for its long work hours and less pay. Because as an industry in general is the least optimised industry just above agriculture and hunting in 2020. This results into more work load and less output. Hence the productivity rate is negative 1.4,which … Read more
Preliminary steps towards a hybrid workflow for smooth 3D printed surfaces. Aim To develop a hybrid workflow to obtain smooth surfaces on 3D printed clay for improved alignment and surface finish. State of the Art Additive manufacturing enables the precise and cost-effective creation of complex designs while minimizing waste. One of the shortcomings common to … Read more
The construction industry has shown an increasing interest in adapting to more environmentally friendly materials, with wood gaining popularity as a natural and sustainable option for buildings. However, the wood industry contributes a significant percentage of energy consumption during the entire wood lifecycle, encompassing tree cutting, transportation to sawmills, and delivery to construction sites. Additionally, … Read more
In this workshop, we collaborated all together to investigate the neuro-evolution (artificial evolution defining neural networks) as a strategy to develop autonomous behaviours of mobile robots (in this workshop we used Turtlebots) to perform given tasks. We used N.E.A.T. (NeuroEvolution of Augmenting Topologies) as a method framework for artificial evolution of these robot controllers and increased … Read more
Ceramiquest draws inspiration from the ancient art of pottery, augmenting it with virtual reality technologies to create a platform that enables users to generate and modify pottery geometries in an immersive environment. By digitizing this art form while retaining the manual generation process, Ceramiquest simplifies pottery-making and allows to 3D print your virtual creations with … Read more
In recent years, there has been a growing interest in developing multiagent systems that combine the strengths of human, robotic, and virtual agents to perform complex tasks. In this project we theorize on how such a system could be implemented in bricklaying at a construction site, which traditionally relies heavily on human labor. With the … Read more
Parts that Precede Buildings This course helped us to gain a comprehensive understanding of discrete building systems with the use of prefabrication and automation. During this one week workshop, discussed topics such as timber prefabrication, robotics and discrete computation for later on participating with a hands-on approach to build several structures using timber boxes and … Read more
Sorting for Salvageable Materials This course was mainly to understand automated collaborative multiagent systems in different environments. Term’s 3 topic (Human-Machine-Collaboration) is recognized through this course by exploring the possibilities of the processes and us being capable of mapping in different diagrams how we imagine a scenario with an automated procedure. For this task, we … Read more
Optimizing 3D Printing with AI prediction Introduction In this seminar we applied the concepts of machine learning to estimate the deformation during drying of simplified 3D printed clay objects. To do this, we trained an artificial neural network (ANN) to predict the movement of discrete points within the printed object. This project is very relevant … Read more
Our project involves the fabrication of a curved surface using cork panels that have been discretized into unique four-sided shapes. Our previous approach involved cutting each panel individually, but we aim to streamline the process by using machine learning to classify the panels into five distinct groups. We will then design and create a mold … Read more
The construction industry creates a waste that is expected to reach 2.2 billion tons globally by 2025 (Transparency market research). Because of this the market started trying different new techniques to construct with less waste, that is how with the 4.0 industrial revolution came the Additive manufacturing process, that fabricates physical 3D objects layer by … Read more
