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.
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
Furniture has become an essential part of modern day society. Problem Currently an average consumer has a two choices, one to either shop at IKEA and get a generic furniture that every household has or to go for a designer furniture that breaks their bank. With the consumers increasingly looking for products that represent their … 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
The reference marking system for 3DP processes Problem Traditional 3DP processes lack accurate and reliable reference markers, which can cause errors and inaccuracies in the final print. This can be especially problematic for cyber-physical set-ups that require precise calibration and location of physical geometries on the 3D model. Solution This issue is resolved by Print … 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
A story of mosaic leftovers and their robotic revitalization In alignment with the circular economy and Barcelona’s climate action plan of 2030, we want to use broken ceramic tiles from the demolition site for large-scale applications. It offers numerous benefits, including cost savings, environmental sustainability, mass-customization, and increased efficiency. The goal of the workshop is the … Read more
