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The continuous progress in Unmanned Aerial Vehicles (UAVs) has spurred the exploration of novel design approaches to boost their effectiveness. Many drone configuration design methods have been used to enhance strength and reduce weight, such as topology optimization, high-modulus composite material, additive manufacturing, etc. One rapidly emerging technology with the potential to transform UAV design is generative design. This cutting-edge technology employs artificial intelligence to generate numerous design possibilities, assisting engineers in identifying optimal designs that align with precise requirements. Consequently, it has the potential to enhance UAV performance, efficiency, and cost-effectiveness significantly. This paper delves into various generative design approaches for drones, covering structural components, aerodynamics, energy efficiency, and payload distribution applications. Real-world case studies prove the benefits of integrating generative design into the UAV development process. These studies demonstrate the effectiveness of generative design and pave the way for significant advancements in UAV capabilities and applications, instilling confidence in its potential.
Souvanhnakhoomman et al. (Fri,) studied this question.