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.
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
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
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
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
“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
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
“Precision becomes poetry through reflection and sound.” Reflection is an immersive installation that explores the potential of precision and reflection between two robotic arms through synchronized movements. Equipped with mirrors, the robots become both instruments and performers. Concept: The law of reflection The law of reflection states that the angle of incidence is equal to … Read more
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
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
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
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
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
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
