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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Robotics for Ecological Buildings: STRAW

This work investigates the structural potential of straw in its raw, unprocessed state — exploiting its natural wilderness and fibrous friction to build systems from its inherent properties. By coupling these material behaviors with robotic fabrication, the process becomes parameterized, enabling a vernacular material to be deployed within a precise and predictable architectural system. Introduction … Read more

The Illusion of Life: A conversation with Madeline Gannon

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

WORKSHOP 2.2_Disassembly & Reassembly

Robotic Disassembly& Reassembly with Spatial AI In this blog post, we’re presenting the project developed during IAAC 2026 Workshop 2.2 in collaboration with the Augmented Fabrication Lab. Our focus was to step beyond purely digital design and engage directly with physical processes, using robotic systems and sensor-based feedback. Through hands-on experimentation with robotic fabrication and … Read more

Smart Demolition: AI-Driven Construction Material Identification & Sorting System

The global construction industry currently faces a significant sustainability crisis, characterized by the massive generation of material waste that often bypasses recycling streams. This challenge stems primarily from a technological gap: the lack of real-time identification, sorting, and decision-making systems on active demolition sites. Without an efficient way to distinguish between various debris types, valuable … Read more

AEGIS – Autonomous Emergency Geostructural Inspection System

Solutions for Rapid Data Acquisition in Disaster Scenarios This project explores a robotic perception pipeline designed to support post-disaster assessment and early response scenarios. The core objective is to detect and map cracks in damaged buildings using vision-based data, assisting rescue teams by providing spatial information about potentially unsafe areas. Rather than aiming for full … Read more

Workshop 2.1 – AIRFLIP

In the following blog post, we will analyse the development of the concept of our project carried out in Workshop 2.1. Team Collaborative Workflow and Modular System Development Guide, in which a Rotatory Gantry structure is proposed for the flip-type movement of a robotic arm. AIRFLIP – Rotary Gantry System for Small-Scale Cobots Overview The … Read more

Workshop 1.2 Data to Motion – TSUNAMI

This article presents our Workshop 1.2 project, which focuses on analyzing data and translating it into robotic movements to control an ABB IRB 6700-150/3.20 industrial robot equipped with a plastic pellet extruder for additive manufacturing. The core concept of the project involved studying the tsunami-related terrain and displacement data, extracting spatial and intensity-based information to … Read more

Workshop 1.2. Data to Motion

In this article, we explain our Workshop 1.2 project, in which we analyzed data to transform it into movements to control an ABB IRB 6700-150/3.20 industrial robot equipped with a plastic pellet extruder for additive manufacturing. The main idea of our project was to analyze climate data from the city of Barcelona during the years … Read more

Workshop 3.2 – HearMeOut

The Challenge Traditional industrial robot software emphasizes reliability, precision, and repeatability. This approach can make the human-robot collaborations feel uncreative and non-engaging. Robots must by dynamic and engaging to thrive in a human-centered environment. The Solution The Overview Inverse Kinematics Using Inverse kinematics to orchestrate joint rotations, and constructing smooth mathematical functions that are composed … Read more

WORKSHOP 3.2 _ REFLECTION

“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

Rock the Rock

A Real-Time Audio-Visual Stone Symphony Rock the Rock is an interactive audio-visual installation that identifies and tracks rocks in real time, generating dynamic sound and projection overlays. By leveraging computer vision and finite state machines, it transforms geological forms into a sensory experience. Concept and Context This project served as our introduction to Finite State … 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