arXiv Open Access 2025

Toward AI-driven Multimodal Interfaces for Industrial CAD Modeling

Jiin Choi Yugyeong Jang Kyung Hoon Hyun

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Abstrak

AI-driven multimodal interfaces have the potential to revolutionize industrial 3D CAD modeling by improving workflow efficiency and user experience. However, the integration of these technologies remains challenging due to software constraints, user adoption barriers, and limitations in AI model adaptability. This paper explores the role of multimodal AI in CAD environments, examining its current applications, key challenges, and future research directions. We analyze Bayesian workflow inference, multimodal input strategies, and collaborative AI-driven interfaces to identify areas where AI can enhance CAD design processes while addressing usability concerns in industrial manufacturing settings.

Topik & Kata Kunci

cs.HC

Penulis (3)

Jiin Choi

Yugyeong Jang

Kyung Hoon Hyun

Format Sitasi

APA MLA BibTeX

Choi, J., Jang, Y., Hyun, K.H. (2025). Toward AI-driven Multimodal Interfaces for Industrial CAD Modeling. https://arxiv.org/abs/2503.16824

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓