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
A Real-Time Audio-Visual Stone Symphony Rock the Rock is an interactive audio-visual installation that identifies and tracks rocks in real time, generating dynamic sound and projection overlays. By leveraging computer vision and finite state machines, it transforms geological forms into a sensory experience. Concept and Context This project served as our introduction to Finite State … Read more
Video: https://drive.google.com/file/d/1r3yyxQtWeZv6ADY_KyH7Zf4tiKYiu466/view?usp=sharing Github: https://github.com/sashakraeva/potatotower
Github : https://github.com/Clarrainl/Lego_AR_Interface Introduction What if LEGO instructions could appear right on your table, adapting to the bricks you have?Lego_AR_Interface turns the simple act of LEGO building into a smart and interactive experience. Combining computer vision, real-time projection, and gesture recognition, the system guides users through constructing custom models—no screen touches required. Concept: Build from Random Bricks … Read more
In the ongoing pursuit of efficient toolpath generation, we set out to build a modular, logic-driven system capable of planning subtractive manufacturing strategies. The framework integrated zonal segmentation, directional movement, and dynamic state awareness; its goal was adaptability and long-term scalability. While we achieved full system functionality, this initial iteration exposed the distance between a … 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
A Closed-Loop RL-GAN-ML Pipeline for Generative Design VIDEO: Objective: Demonstrate an intelligent system for stable Kapla stack design, showcasing its intelligent, iterative pipeline. Automated Generation of Stable Kapla Plank Stacks. 1. Introduction The Python script (`loop.py`) presents a sophisticated framework for automating the design of stable Kapla plank stacks, a wooden construction toy consisting of … Read more
[ 1 ] FIRST QUESTIONS : The application of Machine Learning (ML) to the prediction of 3D printing parameters presents a challenge that necessitates a structured approach and raises many questions on how to approach this combination. To effectively explore this integration, it is essential to address three core questions: What are the process and the … Read more
Github : https://github.com/Clarrainl/UN_LOG-Factory | INTRODUCTION | Detecting wood defects in 3D-scanned logs using Machine Learning In the timber industry, a significant portion of wood gets discarded due to irregularities or defects that make it unusable under standard practices. However, many of these logs can still be used creatively or structurally if properly understood and classified. This project … Read more
adapted from IaaC´s Artificial Intelligence Program’s study of machine learning for robotic pick and place. (https://blog.iaac.net/reinforcement-learning-for-robotic-pick-and-place/research). Github Repository. https://github.com/LaurenD66/ROS-GridWorld-RL-with-Obstacles In a recent study by IaaC´s Artificial Intelligence Program, students used reinforcement learning models to train an (robotic) agent to move through a space defined by a simple grid from an origin to a goal, while … 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
Abstract: The ReWeave project develops a robotic system to repurpose construction and demolition (C&D) waste into functional, attractive walls, enhancing human-robot collaboration. We created a database by scanning broken tiles to extract shape, size, and color information, then developed custom nesting algorithms to optimize tile arrangement. The workflow includes scanning tiles, exporting outlines via ROS, … Read more
Introduction Glazing Virtuoso marks a pivotal shift in the spray glazing industry, where craftsmanship meets cutting-edge robotics to usher in a new era of creative expression and manufacturing precision. This project enhances creative workflows by seamlessly integrating intricate spray glazing techniques, that would blend in traditional artisanal craft empowering artists with unprecedented control that could … Read more
State of the Art and Minimum Value Proposition There is an overstocking of small to medium trees over Europe due to poor firing and soil cultivation conditions, most of this trees have the diameter of 10-25 cm and depending on the species and cultivation conditions some of then are crooked and can’t be used by … Read more
नमस्ते – مرحبًا – OLÁ – HOLÁ AIM Our aim is to make Human Robot Collaboration accessible to a variety of users via different languages by developing a speech to toolpath interface. RELEVANCE METHOD Workflow As the participant enters the room, they are greeted by a robot with a friendly waving motion. The participant can … Read more
