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.
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
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
This project explores a framework for Human-Robot Collaboration (HRC) and behavioural fabrication, focusing on constructing a Jenga-like tower using small timber blocks. Using the Agent-Based Modeling system (ABxM) from the Institute for Computational Design and Construction (ICD), a communication network was established integrating a human participant, a computer vision system, and an interactive audio interface. … Read more
Industry Setup Relevance: ABMS could be a twist on traditional manufacturing by using software agents to control different parts of the process. Imagine a factory where machines, workstations, and even software programs aren’t just following instructions but can somewhat act and decide independently. This helps in faster problem-solving mechanisms and could help reduce human intervention … Read more
The project’s objective was to create a machine-learning model capable of classifying repurposed timber components within an assembly process as either structural or non-structural, using factors such as defect quantity, age, and exposure to weather conditions as input. Dataset Generation and Analysis The dataset was produced using Roboflow by utilizing scans of the timber elements … Read more
Leveraging Computer Vision for Sustainable Design with dimensional waste timber Building upon the established design principles of disassembly explored in the prior semester, Timber Narratives this semester investigated the potential of computer vision and image analytics to further optimize material conditioning and manufacturing processes for dimensional waste timber. This iterative approach aimed to integrate data-driven … 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
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
Aim To develop a modular system for seamless automated assembly and disassembly, specifically tailored for the reclamation and repurposing of planar, semi-standardized waste materials ,and also to foster circularity by maximizing resource efficiency and ensuring a sustainable end-of-life use for products within the system. Context State of the art Methodology Assembly and disassembly process by … Read more
Our Aim Is To Design a Robotic Manufacturing System using Wood Offcuts for Prefabricated and Customized Self Shading Facades CONTEXT In the realm of mass timber production, a staggering 40% of a wooden log goes to waste, with an additional 25% arising from trimming and edging processes. Despite this substantial waste, innovative approaches have emerged … Read more
Stack Lamination: Exploring the Intersection of Subtractive and Additive Manufacturing Brief: This workshop was conceived with the aim of familiarizing participants with the procedural intricacies of Stack Lamination milling, employing an Industrial KUKA robot arm. The methodology encompassed the integration of both digital and conventional fabrication approaches. We engaged in practical applications of 3-axis CNC … Read more
Exploring the Intersection of Subtractive and Additive Manufacturing In the pursuit of challenging manufacturing norms and pushing the boundaries of creativity, our team delved into the intricate world of stack lamination during the recent workshop. Focused on creating functional and visually stunning furniture pieces for a potential cafeteria in Barcelona, our journey unfolded through three … Read more
During this one week workshop we explored the combination of stack lamination and 5 axis robotic milling for the speculative production of furniture for the new IAAC cafe. As a group we conceptualized and developed 3 items of furniture that could be produced using stack lamination. Each design was rationalized to make use of a … Read more
