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.
WORKSHOP 3.2 STONE AND CODE is a robotic column sculpture that combines natural stone construction with computational fabrication. Using two robotic systems, one robot prints the column layers while the other places digitally scanned stones into the structure. Around 40% of each stone remains exposed, creating a raw and natural texture. Pathways through Barcelona and … Read more
A Hybrid Robotic-Human System for Adaptive Woven-Earthen Construction Abstract Woven Earth reinterprets traditional willow weaving and earth construction as a digitally informed architectural system. Drawing from vernacular techniques such as wattle and daub, the project develops a hybrid construction method combining woven willow, variable-thickness cavities, and robotic fabrication. Infill strategies layer light earth and straw … Read more
Workshop 3.1: Material Intelligence Workshop UAL@IAAC TEAM: IAAC Leonard Elias Böker | Carpenter/DesignerIAAC Janny Zhang | ArchitectureIAAC Elias El Asmar | ArchitectureIAAC Sam Holcombe | ArchitectureUFG Moritz Aigner | Design TechnologistUFG Christina Kraxberger | Architecture Material Intelligence is a cross-collaborative workshop between IAAC*, TALM** and Linz*** as part of a EU funded scheme, SCALExD: SCALExD … Read more
Faculty: Nacho Monereo & Prottay Roy ChowdhuryGuest Artist: Maria Mallo The project focused on creating a dynamic feedback loop between digital design, robotic positioning, and human craftsmanship. Instead of treating the robot as a fully autonomous machine, the workflow emphasized continuous interaction and mutual dependency between human and machine during fabrication. The installation was fabricated … Read more
Introduction This workshop explores new modes of architectural production through active collaboration between humans and robots, shifting away from traditional models of automation toward hybrid systems of shared decision-making. Rather than understanding the robot as a fully autonomous tool, it is framed as an agent that cooperates with the human in real time, creating a … Read more
Neuron is a project developed during the IAAC MRAC 3.1 Welding Workshop that explores human–robot collaboration in the assembly of space-frame structures. The project focuses on the interaction between a Universal Robots UR10e robotic arm and a human welder, working together to assemble pre-cut steel bars through a continuous exchange between robotic precision and human … Read more
Rethinking Robotics Through Experience Reflections on a lecture by Madeline Gannon Introduction “Somehow, someway, I have built a career out of misusing technology.” Madeline Gannon has spent over a decade working at the intersection of industrial robotics, art, and human interaction. This text presents a thematic synthesis of her lecture for the MRAC, followed by … Read more
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
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
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
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
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
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
