The Master Programme in Robotics and Advanced Construction is an innovative educational format that offers interdisciplinary skills and understanding through a series of class seminars that are put into practice through hands-on workshops. IAAC gives students the opportunity to create individual studio agendas and develop Pilot Thesis Projects based on the knowledge acquired during the seminars and workshops split into 3 Modules. In this way, IAAC puts together an experimental learning environment for the training of professionals with both theoretical and practical responses to the increasing complexity of the construction sector.

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Applied Theory III _ Un_Log Factory

INTRODUCTION In today’s construction industry, a large portion of timber is discarded due to its non-standard shape, curvature, or internal defects. Un_Log Factory challenges this paradigm by proposing a digitally augmented fabrication system that embraces the natural irregularity of timber. Instead of seeing bent or cracked logs as waste, our process redefines them as raw … Read more

Machine Learning Strategies for Toolpath Optimization in Fabrication

In the ongoing pursuit of efficient toolpath generation, we set out to build a modular, logic-driven system capable of planning subtractive manufacturing strategies. The framework integrated zonal segmentation, directional movement, and dynamic state awareness; its goal was adaptability and long-term scalability. While we achieved full system functionality, this initial iteration exposed the distance between a … Read more

Interlock Tower

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

Workshop 3.1_KAPLA-Nest

| 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

Software III _ UN_LOG FACTORY

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

Terraweave: Innovative Structures for a Changing World

terraweave

Introduction In the face of the growing demand for sustainable construction, the integration of renewable materials with advanced fabrication techniques is essential for creating adaptable and efficient structures. Our team developed Terraweave, a project that combines willow and earth to create hybrid building components. By leveraging the natural properties of willow for flexibility and earth … Read more

Sticks & Stones: Precision in Robotic Fabrication with Traditional Materials

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

Studio II_Anatomy of a System: RE_SHAPE

Introduction In a world where natural resources are increasingly scarce, the construction industry faces a crucial challenge: reducing material waste and maximizing the use of available resources. Wood, a traditionally used construction material, is at the center of this issue. Every year, millions of tons of wood are discarded or underutilized due to its irregular … Read more

RE_SHAPE

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

Software II _ Scanning Wood Waste

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

Scanning for Reconstruction: Non Planar 3D printing

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

Guess the Cup: Robotic Track + Respond

Introduction to Robotic Operating Systems Github repository: https://github.com/sashakraeva/MRAC-ur-perception Introduction his course provided a thorough introduction to the Robot Operating System (ROS), teaching us essential skills in robotic software development. We learned about key ROS concepts like nodes, topics, messages, and services. Using robotic perception as case studies, we understood how ROS connected robots, sensors, and … Read more

Fan Only: A Cataloguing Approach to Glazing

Introduction The exploration of robotic fabrication with traditional techniques has become increasingly important in the ceramic industry, opening up new possibilities for innovation, efficiency and mass production. This research, in collaboration with Heatherwick Studio, bridges traditional artistry and robotic innovation, using only a fan brush to explore creative possibilities in ceramic glazing. Design Methodology The … Read more

BANDY.DUCKS_2.1_Robotic Glazing Choreography

Introduction This project was done in collaboration with Heatherwick Studio. Our starting point was a problem that emerged when patterned ceramic tiles were deployed at scale. Specifically, factory-produced tiles create repetitive patterns, which detract from their crafted intricacy. On the other end of the spectrum, hand glazing is a highly skilled and time-consuming process that … Read more

HAND CRAFT TRANSCRIBER

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

YAKISUGI.TORCH

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