The Master Programme in Robotics and Advanced Construction is an innovative educational format that offers interdisciplinary skills and understanding through a series of class seminars that are put into practice through hands-on workshops. IAAC gives students the opportunity to create individual studio agendas and develop Pilot Thesis Projects based on the knowledge acquired during the seminars and workshops split into 3 Modules. In this way, IAAC puts together an experimental learning environment for the training of professionals with both theoretical and practical responses to the increasing complexity of the construction sector.
Aim To explore innovative parametric tiling designs through the utilization of robotic tiling setups. The project aim is to utilize the functions of COMPAS framework and its extensions for robotic planning. Also, to incorporate computer vision and scanning information into the tiling process to enhance precision and efficiency. Design Logic Inspired by the idea of … Read more
CONTEXT Consequences of carbon emission Building operations are responsible for approximately 27% annually, while the embodied carbon of just four building and infrastructure materials – cement, iron, steel, and aluminum – are responsible for an additional 15% annually EuropeanClimateLaw The European Climate Law writes into law the goal set out in the European Green Deal for Europe’s economy and society to become climate-neutral by 2050. The law also sets the intermediate target of reducing net greenhouse gas emissions by at least 55% by 2030, compared to 1990 levels. Climate neutrality by 2050 means achieving net zero greenhouse gas emissions for EU countries as a whole, mainly by cutting emissions, investing in green technologies and protecting … Read more
Our project began with an engaging challenge: to digitally map the future home of the Institute of Advanced Architecture of Catalonia (IAAC) using cutting-edge technology. We harnessed photogrammetry, a method that transforms a series of photos into a comprehensive 3D model, using both drones and smartphones to capture the images. This technique allowed us to … 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
Brief Our aim in this project was to generate real time mapping with object detection and object avoidance with a Turtle_bot using ROS. Embracing Ubuntu and creating workspaces alongside docker, we were able to create a system which allowed us to map an environment and find obstacles within. From this we were curious into what … Read more
State of the Art Raw Timber and AEC Industry Wood waste is often disregarded in the wood industry and the construction industry. Majority of wood used in construction is sawn and processed wood that not only generates waste on its production but it is also associated with high CO2 emissions, because of the embodied energy … 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
Aim Fiducial Markers Aruco fiducial markers were used for object detection and localization. Fiducial markers are black and white markers that can be detected and identified by computer vision algorithms, making them useful in a variety of applications. Here are some of the benefits of using Aruco fiducial markers: Localization & Mapping Workflow Node Graph … 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
