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.
In recent years, the exploration of multisensory experiences has gained significant attention in the culinary industries. This project focuses on the potential of leveraging virtual reality (VR) to alter and augment the flavours and qualities of beverages and food – specifically wine in our case – through the integration of music and visuals. Virtual reality … Read more
In recent years, there has been a growing interest in developing multiagent systems that combine the strengths of human, robotic, and virtual agents to perform complex tasks. In this project we theorize on how such a system could be implemented in bricklaying at a construction site, which traditionally relies heavily on human labor. With the … Read more
Autonomous emergency response and safety evaluation system In a catastrophic event geographical region, robots are deployed to collect and process data, allowing the rescue team to analyze the situation from a safe distance and provide an effective rescue operation. Dangerous zones can be accessed by robots without any harm and no human life needs to … Read more
Discrete Assemblies with Gilles Retsin Introduction How can primordial components be aggregated to form complex structures, that are at once easy to assemble and comfortable to live in? This was the question that defined our workshop with instructor Gilles Retsin. During the workshop, Gilles introduced us to his system of assembling buildings from discrete components. … Read more
Sorting for Salvageable Materials This course was mainly to understand automated collaborative multiagent systems in different environments. Term’s 3 topic (Human-Machine-Collaboration) is recognized through this course by exploring the possibilities of the processes and us being capable of mapping in different diagrams how we imagine a scenario with an automated procedure. For this task, we … Read more
Optimizing 3D Printing with AI prediction Introduction In this seminar we applied the concepts of machine learning to estimate the deformation during drying of simplified 3D printed clay objects. To do this, we trained an artificial neural network (ANN) to predict the movement of discrete points within the printed object. This project is very relevant … Read more
Our project involves the fabrication of a curved surface using cork panels that have been discretized into unique four-sided shapes. Our previous approach involved cutting each panel individually, but we aim to streamline the process by using machine learning to classify the panels into five distinct groups. We will then design and create a mold … Read more
A story of mosaic leftovers and their robotic revitalization In alignment with the circular economy and Barcelona’s climate action plan of 2030, we want to use broken ceramic tiles from the demolition site for large-scale applications. It offers numerous benefits, including cost savings, environmental sustainability, mass-customization, and increased efficiency. The goal of the workshop is the … Read more
