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.


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PalmPilot 2000

No mouse. No keyboard. Just you.  Github Link: https://github.com/Adronegenius/palmpilot2000.git Problem/Opportunity Current 2D CAD layout tools rely heavily on complex UI layers and precise mouse manipulation. These become barriers for: PalmPilot2000 addresses this by introducing a body-centered interaction system, where gestures drive the logic of selecting, moving, and placing elements on a plan — with visual … 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

ReWeave_3.0

Abstract: The ReWeave project develops a robotic system to repurpose construction and demolition (C&D) waste into functional, attractive walls, enhancing human-robot collaboration. We created a database by scanning broken tiles to extract shape, size, and color information, then developed custom nesting algorithms to optimize tile arrangement. The workflow includes scanning tiles, exporting outlines via ROS, … Read more

Robot of Babel

नमस्ते – مرحبًا – OLÁ – HOLÁ AIM Our aim is to make Human Robot Collaboration accessible to a variety of users via different languages by developing  a speech to toolpath interface. RELEVANCE METHOD Workflow As the participant enters the room, they are greeted by a robot with a friendly waving motion. The participant can … Read more

#Being_Humane

What if you can control your Cobot with only hand gestures and you can work effortlessly? That’s what we came up with this experiment of using Multi agent systems to control the engagement of a collaborative robot (ur10e).Our workshop highlights an innovative approach to controlling cobots using hand gestures. This method aims to facilitate effortless … Read more

BLABBER BOT

 Building Together, One Word at a Time AIM The aim of this project is to enhance human-robot collaboration through the development of a user-friendly system that creates an inclusive environment. Text-to-speech (TTS) and speech-to-text (STT) systems enable humans and robots to communicate in anintuitive and engaging way. Relevance One major issue was that the human … Read more

Hey Jarvis, let’s Collaborate!

This project explores a framework for Human-Robot Collaboration (HRC) and behavioural fabrication, focusing on constructing a Jenga-like tower using small timber blocks. Using the Agent-Based Modeling system (ABxM) from the Institute for Computational Design and Construction (ICD), a communication network was established integrating a human participant, a computer vision system, and an interactive audio interface. … Read more

Shape it, feel it

Working in 3D CAD environments can be restrictive. While most CAD software provides tools for creating shapes and generating ideas, they often rely on a mouse and keyboard, or are very expensive. “Shape it, Feel it” investigates opportunities to generate shapes using a computer’s webcam and hand gestures. We utilize cheap and readily available hardware … Read more

Peacock Immersive Experience

Concept Most of Virtual Experiences are designed and model for humans and by humans. In this scenario believe the overall concept is that the game platform is seen from the perspective of an animal. References Aim “Our goal is to offer humans a unique experience through the eyes of a peacock. This game platform immerses … Read more

Wired Warriors

Aim “Create a range of robotic mini-games showcasing dexterity and quick reflexes, ideal for casual enjoyment.“ For this one week workshop, we drew inspiration from various games such as infinite passes, penalty shootouts, and boxing, aiming to adapt them for robotic play. Initially leaning towards infinite passes (football), we ultimately found boxing more compatible with … Read more

DANCING QUEENS

Due to limitation regarding the file size and quality, these performances are muted, lower quality and sped up to be under the limited file capacity. Dancing Queen(s) is an endeavor featuring a pair of robots performing synchronized dance moves. These choreographed movements mirror those of a trainer, who leads, and a follower, who emulates the … Read more

Strings of life

This project was part of a 1 week workshop at IAAC, utilizing the institute’s two ABB IRB6700 industrial robots. The workshop incorporated Dr. Gannon’s sophisticated simulation tools, which provide safe, real-time control of industrial robots. Under the guidance of Madeline showing us how to sketch with robots we were able to work within a flexible … Read more

Machine Learning to predict no. of seating spaces

Aim: To predict the number of seating spaces based on various types of seating layout, number of corridors and dimensions of generative enclosed rectangular spaces such as an auditorium. Objectives: Dataset Design: To create Dataset for the required problem, a synthetic dataset is designed with the help of various bylaws supporting the problem. Data Analysis: … Read more