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.
Introduction This project investigates the dialogue between human gesture and robotic motion through painting. Over three weeks, students study brush behavior, paint flow, and stroke dynamics, beginning manually and progressively translating gestures into robotic trajectories. The final outcome is an A2 robot-made painting, accompanied by a vectorial drawing and a 60-second video, reflecting the anatomy … Read more
Guest Lecture at IAAC (14 October 2025) – Exploring how La Máquina merges design, robotics, and the human element. During one of our sessions at IAAC, we had the opportunity to meet Aldo Sollazzo, co-founder of La Máquina, Noumena, and Pure.Tech, as well as a former IAAC faculty member in the field of robotic fabrication.Invited through the coordination of … Read more
Introduction This project orients around robotic drawing system that uses a brush to create adaptive visual results. It focuses on turning basic painting actions; such as dipping, stroking, and rotating—into clear, programmable steps. By combining digital design tools with robotic movement, the work explores how changes in brush angle, paint material, and surface conditions shape … Read more
The project involves a large geometric form designed for clay 3D printing, consisting of 6 identical sections. This article will present the results of our analyses that explore the technical challenges and opportunities of this geometric design during the clay fabrication process. The workflow begins by rationalizing the pavilion structure into 6 symmetrical parts, isolating … Read more
The massage chair is an experiment in digital fabrication and hybrid workflows, using computational design, CNC milling, 6-axis robotic milling, and human assembly and finishing, to understand how different subtractive manufacturing processes can be combined to balance speed, precision, and material expression in digital fabrication. Materials Tools Used Early Designs Early explorations of designs in … Read more
The Nidra Chair was developed within the framework of Workshop 1.1, where we explored robotic milling using the KUKA robotic arm. The design process was guided by a set of conceptual ideas—texture, nest, wings, and storage—which shaped the formal and tactile language of the piece. Inspired by notions of protection, warmth, and well-being, Nidra seeks … Read more
Abstract: The Elephant Chair project was developed during the workshop “Robotic Milling and Design for Subtractive Manufacturing Workflows.”This workshop explored hybrid fabrication methods combining 3-axis CNC milling and 6-axis robotic milling to translate digital geometries into precise wooden prototypes. Our team designed and fabricated a furniture piece inspired by organic anatomy, robust yet flexible, mirroring the mechanical elegance of the machines used … 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
