The continued evolution of the construction industry will rely on automation in its many forms, from automated digital design and analysis processes to the automated creation of construction documentation and, ultimately, the act of construction (Davis, 2022) While the development and adoption of automation technologies has evolved slowly in construction, the time is now ripe for new tools to play a major role in helping to bring construction’s digital transformation into full bloom.


Syllabus

Throughout the seminar, students will simultaneously develop their skills in both robotic systems and physical computing, equipping them with the essential tools to create systems that sense, respond to, and influence their environment. By working with robots and microcontrollers, students will learn to build interactive devices using sensors and actuators.

By integrating robot and physical computing into architectural design, students will open new possibilities for creating responsive, intelligent systems that enhance the built environment. These technologies enable architecture to become more than just static structures; they transform it into a dynamic, living entity that can adapt, interact, and evolve with its surroundings.

Learning Objectives

At course completion the students:

  • Understand the basics of robotic kinematics, robotic simulation and robotic control.
  • Communication between robotic arms and custom end effector.
  • How to calibrate/adjust end-effector tools and possible modifications of them
  • Be Can generate the robotic simulation and production files to produce a prototype. 
  • Data collection from robotic toolpath.
  • Familiarise students with Arduino for prototyping.
  • Develop the skills to design systems that sense their environment.
  • Build smart apparatus capable of reacting intelligently to external conditions, integrating technology into architectural projects to create responsive, interactive spaces.
  • Understand how the collected data can be utilized in AI-driven architectural solutions.

Faculty


Faculty Assistants


Projects from this course

Intelligent Prototyping Combining Microcontrollers & Robotic Fabrication: Obstacle Detection – Notification System & Clay Pots

Microcontrollers This project focuses on creating an automated door system designed to enhance accessibility, particularly in healthcare environments such as hospitals and clinics. Using an ultrasound sensor to detect distance, the system provides auditory guidance and ensures safe and efficient door operation for users, including those with visual impairments. The system is programmed to announce … Read more

Intelligent Prototyping using Robot & Arduino

FABRICATED PROTOTYPES & DESIGN ANALYSISIn this project, our group explored the integration of parametric modeling, robotic fabrication, and data-driven analysis to optimize clay-based 3D printing. We began by generating two vase geometries using Grasshopper and subsequently fabricated these designs with an ABB 120 robotic arm extruding clay. Throughout the process, we recorded both visual documentation ... Read more

Integrating Robotics and Microcontrollers in Architecture: From 3D-Printed Clay Pots to Seismic Safety

Abstract: In this class on Intelligent Prototyping within the MaAI program, we explored two distinct approaches to prototyping: 3D printing with robotic arms and real-time sensing with microcontrollers. Using parametric modeling tools, specifically Grasshopper, we designed and fabricated a series of 3D-printed clay pots. These included small, medium, and large-scale pots, with a focus on … Read more

Intelligent Prototyping: robotics and micro-controllers

The work presented in this blog post is an approach combining Robotics and Microcontrollers as preparation for a main Research Studio project focused on sustainable facades and environmental guidelines. This represents our first steps in exploring these fields and their connections with Artificial Intelligence in Architecture and the Built Environment. In the Robotics domain, the … Read more