Abstract
This paper introduces the HyForm uncrewed vehicle engineering repository (HUVER), a comprehensive multi-modal dataset of uncrewed aerial vehicle (UAV) designs, complete with performance evaluations, derived from the HyForm UAV design testbed. The dataset includes 6051 unique UAV configurations, each represented using strings adhering to a designed grammar, images, 3D mesh models, and textual descriptions, alongside performance metrics obtained from physics-based simulations. Designed to support data-driven and artificial intelligence (AI)-driven design processes, one area in which this dataset can facilitate research is the surrogate modeling and generative design of UAVs, providing a resource for developing predictive models and supporting human–AI collaboration in UAV design. The dataset adheres to findable, accessible, interoperable, and reusable principles, ensuring it is retrievable, accessible, interoperable, and reusable, and is made available as an online repository for ease of use by the research community.
