A Multidisciplinary Approach For Bio-Inspired Design: Interactions Between Drawing, Ai, and Parametric Design

This paper presents innovative tools and methods for nature-inspired performance analysis, guiding the design of bio-inspired and sustainable products and structures through computational design. Understanding the language of nature through mathematics and geometry is essential for creating adaptable systems. Observing natural processes on a microscopic scale reveals principles that can be translated into functional designs. These microscopic images, analyzed with hand drawings and machine learning, feed computational models, optimizing the design and predicting the performance of bio-inspired structures. The results described in the paper point to the possibility of developing sustainable high-performance design, emphasizing the importance of a multidisciplinary approach that combines drawing, AI, and parametric modeling. This approach pushes the boundaries of human creativity and addresses the complexity of the real world, leading to innovative and efficient solutions that mimic and incorporate the fundamental principles of nature.