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.
“In the dawn of this new era, the construction industry stands at the threshold of transformation, poised to redefine its legacy through the power of Artificial Intelligence (AI) and comprehensive data analytics.”* This manifesto aims to put forward the benefits of AI and how it can help the The construction business be improved by collecting … Read more
The integration of a rover or swarm of rovers into construction demolition sites represents a paradigm shift in waste management practices. Equipped with advanced sensors and AI algorithms, this rover possesses the capability to accurately identify and segregate valuable materials such as steel and metal amidst debris and rubble. These rovers operate seamlessly alongside human … Read more
ROBOTIC SOLUTIONS FOR 3D SPACE ANALYSIS AIM This workshop ran in collaboration with Noumena and IAAC where we were introduced to a environmental scanning and data processing workflows which combined the use of photogrammetry and point-cloud data. The site of the study was at IAAC’s new building which is yet to be constructed. From this … Read more
Aim The project was aimed to develop a methodology to detect damages in walls with the help of Yolo’s trained models furthering to gain the quantitative and economic analysis of the development any project. Workflow Initially, we conducted a site scan using an RGB camera of Dji drone the site was mapped section by section … Read more
Aim The main objective is to generate a new formation of point cloud of the new IAAC building, that is inspired from a style (Artistic /Architectural) using AI / Machine learning and change the existing point cloud with the the new stylized point cloud. State of The Art Image-to-image translation is a class of vision … Read more
Context I-P_Maper(Intersection Point Mapper) is a project based on ROS and scanning. It mainly focuses on controlling the robot tool path to scan and get the data we want. Given the time constraints, we maximized our efforts and performed a series of tests in order to develop a program that could accurately identify up to … Read more
The construction industry creates a waste that is expected to reach 2.2 billion tons globally by 2025 (Transparency market research). Because of this the market started trying different new techniques to construct with less waste, that is how with the 4.0 industrial revolution came the Additive manufacturing process, that fabricates physical 3D objects layer by … Read more
During this Hardware seminar, we were able to understand different types of sensors used in robotics and the techniques used to process the collected data. The aim of the seminar is to use the sensors to understand the environment and then expect the robot to take decisions (automation) and carry a specific task (actuation). For … Read more
real-time autonomous object detection The project “RTAOD” in the workshop 2.1 was developed to navigate and localize a robot autonomously through room and create a map of the scanned area. In the meantime it collects data of detected objects and counts the quantity of them. Required tools This project got realized by the Software “ROS … Read more
