This thesis investigates the integration of intelligent swarm robots as wall systems in the creation of automated architectural layouts tailored to user preferences, with a specific emphasis on ensuring spatial flexibility. The research seeks to address the challenges associated with accommodating swarm robots to create flexible architectural layouts while harnessing the adaptability and collective intelligence of swarm robotics. The study aims to contribute to the evolving field of user-centric architecture by exploring novel ways in which swarm robots can dynamically shape and customize spatial configurations to enhance comfort, user participation, and satisfaction.
The research methodology involves the development of a framework that combines principles of swarm intelligence, user-centric design, and flexible architecture. By leveraging swarm algorithms and self-organizing strategies, the swarm robots will be configured to respond to users’ preferences and needs and the evolving nature architectural space.