Diving deeper into building a reliable rating algorithm The Importance & Significance of the F&B establishments in the City Food and Beverage (F&B) service outlets are significant indicators of urban progress as they reflect evolving consumer preferences, economic vitality, and the integration of social spaces within urban landscapes. These establishments act as hubs for community … Read more
Introduction As the Data Team, we didn’t produce any geometry. Instead, we focused on creating a data infrastructure that enhances collaboration between all design teams. Our primary goal was to streamline information flow, validate data integrity, and provide meaningful metrics that inform the design process. The Birth of our Holistic Approach One of the tacit … Read more
THE ESSENCE OF ENSO Ensō, the Zen circle, represents one of the most fundamental principles in Japanese aesthetics and philosophy. Traditionally drawn in a single, fluid brush stroke, it symbolizes: Complete Circle of Life)Main Unifying Theme: Like the Zen concept of ensō (the circle), the building embodies completeness through continuous cycles and perfect imperfection. Team … Read more
Data Our goal was to create a city within a city, an organism that operates 24/7, where functions overlap and change throughout the day based on residents’ needs. Each of the eight specific neighborhoods has spaces dedicated to changing functions. A key performance indicator (KPI) we used is the occupancy efficiency formula, measuring how effectively spaces are utilized over 24 … Read more
Industrial team dedicated to rethinking how we approach urban farming, renewable energy, and multifunctional infrastructure, is leading the charge. Their integrated workflow uses parametric modeling, automated data exchange, and business intelligence (Power BI dashboard) to optimize space usage and resource allocation in urban environments. In this post, we dive into a series of visuals that … Read more
Manual floorplan generation for high-rise residential buildings is labor-intensive and often overlooks key environmental parameters, limiting the ability to quickly assess performance-based design alternatives.
https://github.com/PaintDumpster/ai_for_robotic_fabrication.git In the field of robotic fabrication, precision is everything! Yet there’s often a significant gap between a simulated toolpath and the real-world movement of a robotic arm. Subtle discrepancies can lead to printing errors, structural issues, or failed prototypes. We explored how AI can be used to minimize this gap. This investigation sits at … Read more
In pick-and-place robotics, a robotic arm must move from a start position to a target location (e.g., to pick or place an object) while safely navigating around obstacles. These obstacles may vary in size, severity, or risk — requiring the robot to adapt its path based on the workspace condition. This project simulates the core … Read more
PROJECT OVERVIEW We applied 3D space syntax to distribute functions within each neighborhood based on distance and spatial requirements. Using Voronoi-based massing in collaboration with the Structure Team and macro adjacency matrices, we introduced eight neighborhoods within a 1km² building, creating a 24/7 active “city within a city.” These neighborhoods were refined with the Facade … Read more
Context How? Where? Workflow Outputs
Abstract Parametric design tools like Grasshopper empower architects to create adaptive and efficient spatial layouts, but their complexity presents a barrier for non-experts. This research proposes a community-driven design tool that leverages Graph Neural Networks (GNNs) and Large Language Models (LLMs) to learn from expert-authored Grasshopper scripts, enabling prompt-based parametric layout design. By encoding design … Read more
ABSTRACT; Decoding Urban Mobility: This project evaluates the impact of AI-driven traffic management versus conventional fixed-timing methods on urban congestion. It analyzes real-time and historical data—including traffic patterns, weather, demographics, and incident reports—from cities like London, Barcelona, and Los Angeles and compares machine learning models (e.g., LSTM, GRU, XGBoost) with traditional techniques. The study identifies … Read more
Our BIMSC studio project centers on designing a ‘hyperbuilding’ in Tokyo’s Minato Ward—a self-sustaining development that integrates closed-loop ecological systems like on-site food production, photovoltaic energy generation, and industrial modules. The building includes mixed-use zones for amenities, services, and commerce, all anchored by a transit hub built into a podium above Shinagawa Station, supporting the … Read more
AIM The goal is to teleoperate both the Husky robot and the UR10e arm, enabling them to avoid obstacles on the floor and push those that are unavoidable. To achieve this, we designed a system that allows the user to control both robots using any available camera, incorporating hand tracking for intuitive command execution. SYSTEM … Read more
