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.
Building on the principles of disassembly explored last semester, this phase of the Timber Narratives project delves deeper into advanced data-driven design strategies. We now capture and utilize timber colour values through enhanced scanning technologies, integrating this data into our designs. Additionally, we’ve implemented machine learning with logistic regression for precise categorization of timber for … 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
State of the Art and Minimum Value Proposition There is an overstocking of small to medium trees over Europe due to poor firing and soil cultivation conditions, most of this trees have the diameter of 10-25 cm and depending on the species and cultivation conditions some of then are crooked and can’t be used by … Read more
The aim of this Seminar was to imagine a scenario where the Studio Project could be imagined on an industry floor with full automation. In order to understand the workflow and position of each station to fabricate a facade made from raw edge sticks an an agent based system was sketched as diagrams in order … Read more
Working in 3D CAD environments can be restrictive. While most CAD software provides tools for creating shapes and generating ideas, they often rely on a mouse and keyboard, or are very expensive. “Shape it, Feel it” investigates opportunities to generate shapes using a computer’s webcam and hand gestures. We utilize cheap and readily available hardware … Read more
#Feelit context Aim: Experiencing the news in a different way , To make you feel by making you experience the news with physical sensations and enhanced visual effects. it’s a comment on human desensitization. POTENTIAL APPLICATION AND USERS OVERALL WORKFLOW Software UNREAL ENGINE Unreal was used to create the environment of the AR experience , … Read more
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
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
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
