a BIOCHAR BASED concrete WITH A negative carbon footprint BARA is an opportunity to build negative carbon constructionsystems by rethinking concrete and methods used in the buildingindustry. Using on-site 3D printing and casting, entire buildings can beconstructed with reduced cement while storing and capturing carbon. The focus is on optimizing and improvingstructural performance, enhancing carbon … Read more
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
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
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
Introduction In the face of the growing demand for sustainable construction, the integration of renewable materials with advanced fabrication techniques is essential for creating adaptable and efficient structures. Our team developed Terraweave, a project that combines willow and earth to create hybrid building components. By leveraging the natural properties of willow for flexibility and earth … Read more
This academic year, the 3DPA program focused on the theme Performative Earth Construction, guiding the work from research to design and construction.Following the projects Tova and Texit pavilions, two enclosed spaces built on the Forest Campus, the aim is to explore how 3D printing with earth can be used on a larger scale while responding … Read more
The Artist’s House is designed for an artist couple and their two children. The house is divided into 3 main entities: the living area, the studio and the artist house, separated by a central patio. The studio accommodates two distinct spaces tailored to the needs of each artist. One is a sculptor and/or painter who … Read more
In an era dominated by concrete and steel, the Sticks & Stones project revisits the architectural potential of stone and timber—materials with a rich historical legacy—through the precision of robotic fabrication. This initiative sought to develop a reversible, precise architectural system that bridges traditional craftsmanship with advanced digital tools. By tackling the challenges of natural … Read more
Can an AI agent learn how to carve a shape — not by following a predefined path, but by figuring it out on its own? https://github.com/IaaC/AI_Robotics_Octopus.git Inspired by the precision of traditional craftsmanship, especially techniques like Japanese joinery where every cut matters, we wanted to see if a machine could learn that same logic in … Read more
Contexept is a design-to-fabrication workflow that uses AI to generate context-aware façade designs and turn them into 3D-printable architectural modules. By combining semantic keyword clustering, image generation, and robotic clay printing, the system transforms abstract ideas into buildable, site-sensitive forms. It bridges digital creativity with physical construction, making AI a meaningful collaborator in architecture. Architecture … Read more
The plastic crisis has reached staggering proportions. If all the plastic waste on Earth were laid out, it would be enough to cover the entire surface of Argentina ankle-deep. Every year, we produce 300 million tons of plastic globally. Yet only 10% remains in use, while more than 80% is discarded. Of this discarded plastic, … Read more
EU generate 25-30% of all waste from construction and demolition (C&D) activities, much of which remains underutilized or sent to landfills. Context whilst global temperatures are rising towards +4°c, building facades are a main contributors to the urban heat island effect within cities.2050 about 70 % of the world’s population will live in cities.The building … Read more
Introduction In a world where natural resources are increasingly scarce, the construction industry faces a crucial challenge: reducing material waste and maximizing the use of available resources. Wood, a traditionally used construction material, is at the center of this issue. Every year, millions of tons of wood are discarded or underutilized due to its irregular … Read more
