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.
The intertwined relationship between the construction industry and transportation systems is a cornerstone of modern development. This synergy, while enabling the creation of the infrastructure essential for our expanding populations and their demands, also brings to light the challenges of sustainability and environmental impact. As we navigate the complexities of urban growth and infrastructural expansion, … 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
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
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
‘’To use a mobile robotics to aid in the accuracy of construction and installation planning by creating a new visual communication link using scanned data from the built environment.” The Site Assistant is an mobile robotic assistant designed to enhance efficiency on construction sites. It addresses the common challenge of locating specific objects within walls … 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
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
