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.
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
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
In this workshop, we collaborated all together to investigate the neuro-evolution (artificial evolution defining neural networks) as a strategy to develop autonomous behaviours of mobile robots (in this workshop we used Turtlebots) to perform given tasks. We used N.E.A.T. (NeuroEvolution of Augmenting Topologies) as a method framework for artificial evolution of these robot controllers and increased … 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
