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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Reclaim Rover

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

Business of Mobile Additive Manufacturing

Rapid urbanization demands more efficient construction methods: Labor shortage in the construction industry: It is important to note the type of machinery being used by these two companies for 3D printing. Tvasta uses a robotic arm equipped with an extruder for printing concrete and L&T uses a gantry system, which is a big framework inside … Read more

Code Cargo

Physical Prototype of Code-Cargo

Brief Intending to improve productivity, our focus fell upon the constraints of robot arms. The bounding area of limitation is a reoccurring issue when working with machines, as the area of reach is defined by the physical limitations of the physical components. In this blog, we investigate a solution to increase the range reach for … Read more

From Scans to Mesh: Exploring ROS and MoveIt

During the seminar, we explored the core concepts of ROS (Robotic Operating System), its vital tools, and the seamless integration of Python for interacting with robots. With this integration, we effortlessly processed sensor data and exercised control over the UR10e robot, which served as our platform for the seminar. Through practical exercises, we gained hands-on … Read more

RTAOD

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