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.


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Terraweave

Crafting performative structures through robotic earth injection in dynamic fiber scaffolds Terraweave is an architectural research project that explores how robotic additive manufacturing can enhance the performance of natural building materials. Conducted as part of the Master in Robotics and Advanced Construction at IAAC, the project investigates the integration of willow scaffolds and earth injection … Read more

STICKS & STONES

Hybrid Timber and Stone Constrcuction System Utilisng 6-axis Robotic Fabriction Our research begins with a critique of how we build today. Technological advancements have enabled rapid, standardized, and seemingly affordable construction. But these efficiencies hide deeper costs. In reality, we’re paying through the loss of cultural specificity, environmental integrity, and material identity. What emerges is … Read more

DRDA- Dynamic Robotic Design Activities

ABSTRACT Autonomous parametric furniture assembly using modular blocks and ROS-driven industrial robots promises to revolutionize on-demand manufacturing. In this work, we introduce DRDA (Dynamic Robotic Design Activities), a unified framework that seamlessly links customer-driven design to autonomous multi-robot execution. A user-defined geometry and style, which our custom block-selection and toolpath-generation engine converts into collision-free pick-and-place … Read more

ReSkin

whilst global temperatures are rising towards +4°c, building facades are a main contributors to the urban heat island effect within cities.2050 about 70 % of the world’s population will live in cities.The building sector globally consumes a significant amount of energy for heating and cooling. In fact, about half of the global cooling load is … Read more

Timber Syntax: A Computational Pipeline for Assembling Non-Homogeneous Timber

In the pursuit of a sustainable built environment, Timber Syntax demonstrates how reclaimed, non-homogeneous timber can be transformed into high-quality facade systems through a computational and robotic pipeline. Developed at the Institute for Advanced Architecture of Catalonia (IAAC), this project bridges waste reuse, advanced fabrication, and circular design to propose a new paradigm for timber … Read more

STUDIO III _ ANATOMY OF A SYSTEM : UnLog

Why – Problem context In the current forestry industry, only 40% of each harvested tree is actually used for construction or valuable products. The remaining 60% often ends up as waste — discarded, chipped, or burned as firewood. This imbalance sparked a fundamental question:Can we change this ratio? Driven by that inquiry, we began exploring … Read more

AIbotix: Optimizing Construction Workflows Through Spatial Cognition and an AI Agent in Robotics

“Spatial Cognition in Robotics: Optimizing Construction Workflow with AI”Shu Xiao – MRAC02 Thesis, IAAC 2024–2025 Despite advances in manufacturing automation, the construction industry continues to rely heavily on manual labor due to its unpredictable environment, safety concerns, and fragmented workflows. This project explores how vision-guided robotics and real-time AI agents can close that gap by … Read more

Cacau III

1. Research Statement AIM OF RESEARCH: To create a biocomposite material primarily out of  Cacau Seed Shell and utilizing PLA as its matrix and use it for robotic additive manufacturing process to produce interior design pieces, following evaluation parameters from circular economy 2. How to add the maximum amount of CSS to PLA Matrix 3. … Read more

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