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.

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DANCING QUEENS

Due to limitation regarding the file size and quality, these performances are muted, lower quality and sped up to be under the limited file capacity. Dancing Queen(s) is an endeavor featuring a pair of robots performing synchronized dance moves. These choreographed movements mirror those of a trainer, who leads, and a follower, who emulates the … Read more

Strings of life

This project was part of a 1 week workshop at IAAC, utilizing the institute’s two ABB IRB6700 industrial robots. The workshop incorporated Dr. Gannon’s sophisticated simulation tools, which provide safe, real-time control of industrial robots. Under the guidance of Madeline showing us how to sketch with robots we were able to work within a flexible … Read more

Machine Learning to predict no. of seating spaces

Aim: To predict the number of seating spaces based on various types of seating layout, number of corridors and dimensions of generative enclosed rectangular spaces such as an auditorium. Objectives: Dataset Design: To create Dataset for the required problem, a synthetic dataset is designed with the help of various bylaws supporting the problem. Data Analysis: … Read more

Timber outlook

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

Predicting Ceramic Underglaze Colors

Our aim is to develop a machine learning model that accurately predicts the color outcome of ceramic underglazes based on their ingredient compositions and firing conditions. In the world of ceramic art, the process of underglazing involves applying colors to pottery which are then sealed under a transparent glaze before firing. However, predicting the final … Read more

ReWeave 2.0

The Context Aim State Of The Art The Workflow System Architecture Robotic Cell Scanning – Robotic cell Scanning Nesting – Initial Experiments Nesting Custom logic Iteration A Nesting Custom logic Iteration B Binder – Geopolymer with alkaline activators –  Sodium silicate Binder – Geopolymer with alkaline activators –  Sodium silicate and Sodium hydroxide Binder – … Read more

Follow Me

Aim To explore innovative parametric tiling designs through the utilization of robotic tiling setups. The project aim is to utilize the functions of  COMPAS framework and its extensions for robotic planning. Also, to incorporate computer vision and scanning information into the tiling process to enhance precision and efficiency. Design Logic Inspired by the idea of … Read more

Robotic Gaudi

AIM DESIGN The three distinct design methodologies we explored employed grayscale image mapping, where the gray areas functioned as attractors and filters for colored circles. Our second experiment focused on employing curves as generators for the spatial arrangement and packing of a variety of larger circles. The third methodology extended our exploration to the incorporation … Read more

Kangaroo follows the COMPAS

This project documents a 1-week workshop that introduced students to the COMPAS framework. Our goal was to design a tile mosaic that would be part of a collaborative pick-and-place workflow with the UR5, incorporating COMPAS Fab, Kangaroo (Grasshopper), and ROS. What is COMPAS? Utilizing the COMPAS framework developed by Gramazio Kohler Research and the larger … Read more

Serial Link

This project explores how serial data written by environmental sensors can control and influence the appearance of digital media. The outcome of Serial Link was a wearable device that incorporates a ESP32, Gyroscope, ultrasonic sensor, and a power bank that can control digital media in touch designer through network access. What is serial data?Utilizing the … Read more

Albert: The Rock, Paper, Scissors Robotic Hand

Albert, is a rock-paper-scissors robotic hand designed to serve as a playing partner for the rock-paper-scissors game, aiming to bridge human-robot interaction. Rock-paper-scissors is a universally understood game, known for its simplicity and effectiveness in decision-making. Our objective was to establish a unified language between a robot and a human by humanizing the robot. We … Read more

Kinect Surfaces (Light and Sound)

State of the Art In recent decades, kinetic facades have surfaced as innovative architectural elements, offering alternative building envelopes tailored to address escalating and intricate demands related to user comfort, energy consumption, and cost efficiency. Various articulations of this concept have been advanced, encompassing approaches that span from the integration of inventive components to the … Read more

Truss and Roof Health

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

Stylized Point Cloud

Aim The main objective is to generate a new formation of point cloud of the new IAAC building, that is inspired from a style (Artistic /Architectural) using  AI / Machine learning and change the existing point cloud with the the new stylized point cloud. State of The Art Image-to-image translation is a class of vision … Read more

I-P_Mapper

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