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.
Robotic Fabrication of Friction-Based Timber Joinery: Burr Puzzle Assembly This research explores robotic assembly of friction-based interlocking timber joints using the burr puzzle as a case study. The puzzle’s tight tolerances and sequential assembly pose challenges. Through modeling and robotic execution, the study shows that while a single-robot approach is feasible, dual robots are necessary … Read more
Digital Transformation of Discarded Logs for Structural and Design Applications Re_Shape is a design and innovation project that addresses a major blind spot in the forestry industry: the waste of tree trunks that are curved, bifurcated, or otherwise irregular and therefore excluded from traditional processing systems. These logs are typically downgraded into low-value products like … 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
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
This project comprises of 5 rapid prototypes developed over the course of 3 weeks. Each prototype is developed with a focus on a material and a process. These investigations were a means of developing the skillset of rapidly developing a robotic process and simultaneously became the palette from which we select our research lines for … Read more
INTRO As part of the “Anatomy of a Machine – Shape” course, we engaged in an exercise that explores the possibilities of robotic material manipulation through various tools and techniques. Our objective was to research and experiment with sustainable, accessible, and locally available materials, applying scientific and creative principles to produce unique prototypes. This process … Read more
An Intersectional Investigation Robotics is the field of study focused on the research and application of robotic systems. This definition, however, doesn’t provide much insight. So, what is a robot? Robots are machines that can operate autonomously or through programmed input to perform specific tasks, often replacing human effort. These tasks are typically complex and … Read more
1 | INTRODUCTION What is willow weaving and why do it with a robot? Willow weaving as a robotic operation needs to be understood in context. Our archaeological records date bake basket weaving back over 14000 years, older than pottery. An ancient craft that is practiced today in virtually the same way that it has … Read more
Team member(s)：zeyu chao, Elizabeth.frias.martinez，Chi.Lee 3Dprint pavilion Introduction This project explores the large-scale robotic clay printing of a pavilion, with the geometry divided into four equal segments. The chosen geometry, Segment 1, was further developed into modular units to optimize the construction process. The modular approach allows for efficient fabrication and assembly, enhancing the structural and … Read more
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
SUSTAINABLE SOLUTIONS FOR BESPOKE ACOUSTIC DIFFUSER DESIGN A considerable amount of construction and wood waste is generated each year, mostly landfilled or burned for energy, contributing to severe environmental effects. The management of this waste is a significant challenge as it is often not suitable for secondary use. In this context, the circular economy concept … 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
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
Industry Setup Relevance: ABMS could be a twist on traditional manufacturing by using software agents to control different parts of the process. Imagine a factory where machines, workstations, and even software programs aren’t just following instructions but can somewhat act and decide independently. This helps in faster problem-solving mechanisms and could help reduce human intervention … 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
