Traditional vs Generative Design Optimization for Novel Wrist Exoskeleton

This paper will focus on two possible optimizations for a novel wrist exoskeleton. Exoskeletons are structures designed to support human joints using mechanical components and are used in various fields such as rehabilitation, military, and industrial sectors. The study focuses on a new exoskeleton for the wrist with the intention of optimizing its weight and mechanical strength. Two optimization methods are employed. the first one aims to achieve traditional optimization using Computer-Aided Design (CAD) and Finite Element Method (FEM) analysis. In the second the use of Generative Design (GD) optimization, which combine topological optimization and Artificial Intelligence (AI), wants to create new organic components almost impossible to obtain without using this tool. The results indicate that GD optimization significantly reduces maximum displacement while maintaining stress levels within material limits, often improving the weight of the part. Moreover, GD optimization streamlines the design process, offering quicker iterations than traditional methods. This study highlights the efficacy of GD in achieving superior exoskeleton designs with improved mechanical properties and reduced weight, presenting it as a valuable tool for designers seeking optimal solutions in less time.