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.
INTRODUCTION In today’s construction industry, a large portion of timber is discarded due to its non-standard shape, curvature, or internal defects. Un_Log Factory challenges this paradigm by proposing a digitally augmented fabrication system that embraces the natural irregularity of timber. Instead of seeing bent or cracked logs as waste, our process redefines them as raw … Read more
Rethinking Towe Typology with AI: This project explores the redesign of contemporary tower structures using machine learning (ML), challenging the repetitive, profit-driven design seen in cities like Hong Kong. The goal is to discover new typologies through AI and stacking rules, and tren translate them to a robotic fabrication system (pick and place). AI-generated towers … Read more
| INTRODUCTION | Learning Structures: From Parametric Rules to Machine-Made Forms. In this project, we explored the interplay between parametric design, machine learning, and robotic fabrication. Starting from Kapla block assemblies controlled by simple deformation rules, we trained a GAN to reinterpret and generate new structural variations. The process concluded with robotic pick-and-place construction, closing … Read more
Building on the principles of disassembly explored last semester, this phase of the Timber Narratives project delves deeper into advanced data-driven design strategies. We now capture and utilize timber colour values through enhanced scanning technologies, integrating this data into our designs. Additionally, we’ve implemented machine learning with logistic regression for precise categorization of timber for … Read more
#Feelit context Aim: Experiencing the news in a different way , To make you feel by making you experience the news with physical sensations and enhanced visual effects. it’s a comment on human desensitization. POTENTIAL APPLICATION AND USERS OVERALL WORKFLOW Software UNREAL ENGINE Unreal was used to create the environment of the AR experience , … 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
