See - Sense - Respond: An adaptive robotic fabrication framework for post-processing of glass fiber-reinforced plastic architectural panels

Abstract

The integration of robotic arms into architectural design and research has opened new possibilities for conceptualizing and materializing architecture. However, despite the precision and control, they have significant limitations related to sensing and responding to the physical environment. These limitations implicitly define what can be designed and built, especially in high precision and large-scale architectural applications. One such example is the robotic tooling of large-scale glass-fiber-reinforced plastic panels. In this paper, we present the first stages of research in which we employ computer-vision algorithms to augment the robotic fabrication process. This paper focuses on the technical implementation of this visually augmented robotic fabrication framework. The practical applications are kept secondary and are showcased with a simple experiment on robotic drawing.