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.
No mouse. No keyboard. Just you. Github Link: https://github.com/Adronegenius/palmpilot2000.git Problem/Opportunity Current 2D CAD layout tools rely heavily on complex UI layers and precise mouse manipulation. These become barriers for: PalmPilot2000 addresses this by introducing a body-centered interaction system, where gestures drive the logic of selecting, moving, and placing elements on a plan — with visual … Read more
Rethinking Towe Typology with AI: This project explores the redesign of contemporary tower structures using machine learning (ML), challenging the repetitive, profit-driven design seen in cities like Hong Kong. The goal is to discover new typologies through AI and stacking rules, and tren translate them to a robotic fabrication system (pick and place). AI-generated towers … Read more
| INTRODUCTION | Learning Structures: From Parametric Rules to Machine-Made Forms. In this project, we explored the interplay between parametric design, machine learning, and robotic fabrication. Starting from Kapla block assemblies controlled by simple deformation rules, we trained a GAN to reinterpret and generate new structural variations. The process concluded with robotic pick-and-place construction, closing … Read more
Github : https://github.com/Clarrainl/UN_LOG-Factory | INTRODUCTION | Detecting wood defects in 3D-scanned logs using Machine Learning In the timber industry, a significant portion of wood gets discarded due to irregularities or defects that make it unusable under standard practices. However, many of these logs can still be used creatively or structurally if properly understood and classified. This project … Read more
In an era dominated by concrete and steel, the Sticks & Stones project revisits the architectural potential of stone and timber—materials with a rich historical legacy—through the precision of robotic fabrication. This initiative sought to develop a reversible, precise architectural system that bridges traditional craftsmanship with advanced digital tools. By tackling the challenges of natural … Read more
AIM The goal is to teleoperate both the Husky robot and the UR10e arm, enabling them to avoid obstacles on the floor and push those that are unavoidable. To achieve this, we designed a system that allows the user to control both robots using any available camera, incorporating hand tracking for intuitive command execution. SYSTEM … Read more
Introduction In the face of increasing climate-related disasters, accurate and efficient scanning methods are essential for assessing structural integrity. Our team developed a robotic scanning solution that utilizes LiDAR-based Husky A200 and drone photogrammetry to detect roof anomalies, such as holes and structural weaknesses.This study explores different scanning methodologies and evaluates their effectiveness in detecting … Read more
Mobile Robotic Scanning & Discrete Element Analysis This workshop served as an introduction to mobile robotics for scanning. We explored various types of mobile robots and different kinds of sensors, focusing on how they integrate with one another to enable diverse scanning approaches. Based on these investigations, we designed a specific scanning methodology suited to … Read more
Github : https://github.com/j-albo/robotic-3d-space-analysis INTRODUCTION Scanning irregular terrains with today’s scanning technology is crucial for obtaining precise environmental models, optimizing planning and execution in architectural projects. Its high-resolution capture capability allows for mapping complex surfaces and detecting floor level variations imperceptible to the human eye, improving efficiency and reducing errors in design and construction. WHY USING A MOBILE … Read more
Github : https://github.com/j-albo/scanning-wood-waste INTRODUCTION Currently, only 15% of wood waste is recycled globally, while up to 60% of felled trees remain unused. Many irregular pieces that do not meet industrial standards are discarded without leveraging their structural and aesthetic potential. Our goal is to rethink these waste materials through scanning, analysis, and digital transformation, converting them into … Read more
Introduction In this exercise, our objective was to scan a physical object and use the acquired data to generate a toolpath for non-planar 3D printing. To achieve this, we integrated tools such as Grasshopper, Python, and ROS (Robot Operating System) and conducted multiple tests to optimize the scanning strategy and post-processing. Methodology To achieve non-planar … Read more
Github: https://github.com/elicolds/emotionreader/ Introduction In the realm of architecture and art, installations serve as powerful mediums to explore the intersection of technology, human emotion, and design. Our project reimagines the relationship between viewers and spaces by creating an interactive structure that reacts dynamically to human presence and emotions. Combining hardware, software, and creative ingenuity, we designed … Read more
github: https://github.com/intellection-mrac/tres_mosqueteros.git 1. Intro When we think of craftsmanship, we imagine a world of deep expertise—one that is developed differently from the academic theories taught in universities. Craftspeople spend years under the guidance of masters, becoming part of a lineage that passes down specialized knowledge honed through time and experience. This process is more than … Read more
Github : https://github.com/MRAC-IAAC/YAKISUGI.TORCH Overview This project combines a thermal camera and an ESP32 to capture and analyze thermal data and distance measurements. It was developed as part of the YAKISUGI Torch Project, a system designed to optimize and standardize the traditional Japanese wood-burning technique for enhanced durability, pest resistance, and waterproofing. About the YAKISUGI Method: The YAKISUGI … Read more
CONTEXT Every year, there is about $10 trillion in construction-related spending globally, equivalent to 13 percent of GDP. This makes construction one of the largest sectors of the world economy. The sector employs 7% of the world’s working population and, by building the structures in which we live and work, which create our energy, materials, … Read more
