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.
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
“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
Course Overview The MRAC Applied Theory III course focuses on the exploration of collaborative robotics through the lens of ( MAS ) Multi-Agent Systems, in which different components of the system work autonomously and collaborate in order to execute complex tasks. The course investigates how digital and physical bots , operate within a shared environment … 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
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
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
Video: https://drive.google.com/file/d/1r3yyxQtWeZv6ADY_KyH7Zf4tiKYiu466/view?usp=sharing Github: https://github.com/sashakraeva/potatotower
Github : https://github.com/Clarrainl/Lego_AR_Interface Introduction What if LEGO instructions could appear right on your table, adapting to the bricks you have?Lego_AR_Interface turns the simple act of LEGO building into a smart and interactive experience. Combining computer vision, real-time projection, and gesture recognition, the system guides users through constructing custom models—no screen touches required. Concept: Build from Random Bricks … 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
XX WS3.1 XX How can we compress the soul of a 3D object into a few pixels?Kapla Kadabra explores the magic of encoding geometry into 2D data structures – and bringing it back to life. XXXXXXXXXXXX AIM XXXXXXXXXXXX This project explores a lightweight method to encode and decode 3D geometries into pixel matrices. Instead of … 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
