Gensim: Generating robotic simulation tasks via large language models

L Wang, Y Ling, Z Yuan, M Shridhar, C Bao… - arXiv preprint arXiv …, 2023 - arxiv.org
Collecting large amounts of real-world interaction data to train general robotic policies is
often prohibitively expensive, thus motivating the use of simulation data. However, existing …

Generating daylight-driven architectural design via diffusion models

P Li, B Li - arXiv preprint arXiv:2404.13353, 2024 - arxiv.org
In recent years, the rapid development of large-scale models has made new possibilities for
interdisciplinary fields such as architecture. In this paper, we present a novel daylight-driven …

Generative AI empowering parallel manufacturing: Building a “6S” collaborative production ecology for manufacturing 5.0

J Yang, Y Wang, X Wang, X Wang… - … on Systems, Man …, 2024 - ieeexplore.ieee.org
Since Manufacturing 4.0 faces various challenges, including the risks of data leakage and
privacy violation, the struggle to meet the growing demand for personalization, and the …

Designing the future of the fourth industrial revolution

J Luo - Journal of Engineering Design, 2023 - Taylor & Francis
The Fourth Industrial Revolution (4IR) looms large on the horizon. It is characterised by the
fusion of cyber, physical, and human realms, with the heart of it powered by artificial general …

Enhancing catalysis studies with chat generative pre-trained transformer (ChatGPT): Conversation with ChatGPT

N Ansari, V Babaei, MM Najafpour - Dalton Transactions, 2024 - pubs.rsc.org
The progress made in natural language processing (NLP) and large language models
(LLMs), such as generative pre-trained transformers,(GPT) has provided exciting …

Large language model agent as a mechanical designer

Y Jadhav, AB Farimani - arXiv preprint arXiv:2404.17525, 2024 - arxiv.org
Conventional mechanical design paradigms rely on experts systematically refining concepts
through experience-guided modification and FEA to meet specific requirements. However …

Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases

R Aguina-Kang, M Gumin, DH Han, S Morris… - arXiv preprint arXiv …, 2024 - arxiv.org
We present a system for generating indoor scenes in response to text prompts. The prompts
are not limited to a fixed vocabulary of scene descriptions, and the objects in generated …

[HTML][HTML] Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non …

H Fan, H Zhang, C Ma, T Wu, JYH Fuh, B Li - Journal of Manufacturing …, 2024 - Elsevier
This paper introduces an innovative training system for the Renishaw AM400 metal printer,
leveraging the synergy of the advanced Vision Language Model (VLM) with Augmented …

Towards foundational ai models for additive manufacturing: Language models for g-code debugging, manipulation, and comprehension

A Jignasu, K Marshall… - arXiv preprint arXiv …, 2023 - arxiv.org
3D printing or additive manufacturing is a revolutionary technology that enables the creation
of physical objects from digital models. However, the quality and accuracy of 3D printing …

DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation

AC Doris, D Grandi, R Tomich, MF Alam… - arXiv preprint arXiv …, 2024 - arxiv.org
This research introduces DesignQA, a novel benchmark aimed at evaluating the proficiency
of multimodal large language models (MLLMs) in comprehending and applying engineering …