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.
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
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
WHAT_IS_G.R.A.S.S.? G.R.A.S.S. is a hands-free design installation that lets anyone compose an urban park layout using only mid-air hand gestures and voice commands. The goal is to make spatial design accessible to non-specialists, if you can point and grab, you can design a park. No CAD skills required. Projects like MIT inFORM physically render 3D … Read more
Robotic Brickwork Disassembly & Reassembly Enabled by Spatial Artificial Intelligence In this blog post, we’re sharing the project we built during the IAAC 2026 Workshop 2.2 with the Augmented Fabrication Lab. Our main goal was to move beyond just designing on a computer and actually work with robots and smart sensors in the real world. … Read more
This article presents a project exploring how collected data can be processed and translated into automated classification and robotic decision-making logic. The core concept revolves around studying the physical condition and spatial arrangement of reclaimed construction material, extracting geometry-based and surface-level information to generate a data-driven sorting and retrieval workflow. By combining artificial intelligence with … Read more
Team Collaborative Workflow and Modular System Development Group C: Onur Dogrultucu, Priyam Ravinder, Sam Holcombe __________________________________________________________________ The workshop comprised of learning about the varying aspects of collaborative and professional workflows used within robotics development System Architecture Github Workflow & WSL Basic IDEs, Docker & Advanced Python The first day of the project was centered around … Read more
RE:PAIR –Perception-Driven Closed-Loop Robotic Repair Faculty: Hamid Peiro and Aleksandra Kraeva (Sasha) Mission Statement: RE:PAIR is a perception-driven, decision-visible closed-loop robotic system that detects cracks, repairs them using robotic 3D printing, and autonomously verifies the result. 1) Crack detection 2) Segmentation and Masking 3) Centreline and points First we outlayed the workflow of the project. … Read more
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
Process Overview Material Disassembly Material Evaluation & Design Generative Assembly Human Visual Inspection Manual Damage Categorization First Steps First approaches or manual Assembly AI-Based Evaluation Stack 2_Brick 0 We noticed inconsistencies in the evaluation results. After finalizing the prompt, we ran the test twice for each brick, averaged the two values, and visualized the results … Read more
The construction industry remains one of the least digitized sectors globally, yet it manages a $177 trillion market. Despite this massive scale, approximately 12–20% of total project costs are routinely lost to rework, largely driven by discrepancies between design plans and as-built site conditions. As a proposal developed for our Software II course, we present … Read more
Circular Intelligence for Robotic Classification & Upcycling of Industrial Timber How can robotic system identify, measure and sort reusable construction materials based on predefined constraints? This project proposes a vision-guided robotic system for supporting the reuse of construction materials through automated detection, analysis, and manipulation. A fixed RGB camera in an eye-to-hand configuration observes a … Read more
Collaboration with University of Linz Data to Motion: using PCA to represent laughter in a cup The idea for our project was to capture the laughter shared in simple moments of joy and then use the data captured to edify and create vessels which would reflect these memories in their form. The first conceptual proposal … Read more
How can robots reach trash and recycle it? What components are we using? What is the system process? Main system
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
This project was developed within the framework of MRAC Workshop 2.1: Team Collaborative Workflow and Modular System Development. The workshop focuses on learning, internalizing, and applying collaborative software development practices using Git and GitHub through the development of a modular robotic system. In this context, the group was tasked with designing and implementing a robotic … Read more
Robotic Coin Toss — Workshop Context This project was developed within the framework of MRAC Workshop 2.1, a hands-on workshop focused on collaborative workflows and modular system development in robotics. The workshop emphasizes not only technical experimentation, but also the process of working as a team using shared digital tools, version control, and structured documentation. As … Read more
