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.


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Kino

At the workshop led by Madeline Gannon, we had the chance to delve into robotic movement, prioritizing creative freedom over conventional targets like accuracy and repeatability. The workshop was designed as a breeding ground for creativity, facilitated by software components that allowed exploration without the constraints of a kinematic solver. Given the project’s one-week duration … Read more

Strings of life

This project was part of a 1 week workshop at IAAC, utilizing the institute’s two ABB IRB6700 industrial robots. The workshop incorporated Dr. Gannon’s sophisticated simulation tools, which provide safe, real-time control of industrial robots. Under the guidance of Madeline showing us how to sketch with robots we were able to work within a flexible … 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

Digital Construction Ecosystem

Revolutionizing Construction: The Oura Project’s Path to Sustainability through Digital Solutions Introduction The construction industry stands at a critical crossroads in the face of escalating global climate challenges. As a significant contributor to worldwide greenhouse gas emissions, it is imperative for this sector to undergo a transformation. The Oura Project emerges as a pioneering initiative, … Read more

THE HOUSE OF QUESTION MARK

During this course, we delved into the methodologies of modular building using wood modules designed by Gilles Retsin. By employing techniques like stacking and post-tensioning, we investigated both the potential and constraints of these modules. Our journey started with the assembly of the module, during which we constructed elements such as beam, column, opening and … Read more

Robotic Fabrication

Robotic Wood Craft is looking to minimize the raw material foodprint through an efficient repurposing project. The project develops a Data workflow from the scanning of the logs to the Robotic Fabrication and assembly of the pavilion. The final prototype is a post tension structure, with different robot milling joints that maintain the connection in … Read more

Limitless Project

The industry of construction creates most of the waste in the world. By 2025 we expect to reach 2.2 billion tons globally. As a solution of this problem, industry 4.0 proposed  the Additive manufacturing process, which is looking for the optimization of fabrication and construction adding layer by layer different materials; this process started being … Read more

PRINT POINT:

The reference marking system for Additive Manufacturing Context Additive manufacturing (AM) technologies have established and grown significantly over the past few decades, solidifying themselves as a mature and competitive alternative across various sectors of fabrication and construction. This development has been observed across multiple levels and applications of production, primarily due to its remarkable properties … Read more

Print – Scan – Cut

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

Stream of Outcasts

Introduction Our use of forestry resources has seen an increase in efficiency aimed at standardizing wood, a material that is inherently non-standard and heterogeneous by nature. However, the byproducts generated from this process are predominantly used for energy through combustion rather than being transformed into useful products. As more wood products are expected in construction, … Read more

re(al)form

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

Building Instincts

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

Who am I ?

perceiving the world in a human shell called body acting as transition between physical and spiritual The project tackle the understanding of the human existence and complexity of how every aspect in the body perceive life in a different way. “Who am I ?” provides you to feel and experience yourself in a physical world … Read more