Recent advances in generative modeling have spurred a resurgence in the field of Embodied Artificial Intelligence (EAI). EAI systems typically deploy large language models to physical systems capable of interacting with their environment. In our exploration of EAI for industrial domains, we successfully demonstrate the feasibility of co-located, human-robot teaming. Specifically, we construct an experiment where an Augmented Reality (AR) headset mediates information exchange between an EAI agent and human operator for a variety of inspection tasks. To our knowledge the use of an AR headset for multimodal grounding and the application of EAI to industrial tasks are novel contributions within Embodied AI research. In addition, we highlight potential pitfalls in EAI's construction by providing quantitative and qualitative analysis on prompt robustness.

翻译：生成式建模的最新进展激发了具身人工智能领域的复兴。具身人工智能系统通常将大型语言模型部署到能够与环境交互的物理系统中。在工业领域具身人工智能的探索中，我们成功证明了共位人机协作的可行性。具体而言，我们构建了一个实验，其中增强现实头盔作为信息交换中介，在具身人工智能代理与人类操作员之间协调完成多种检测任务。据我们所知，将增强现实头盔用于多模态锚定以及将具身人工智能应用于工业任务，是具身人工智能研究中的新颖贡献。此外，我们通过提供关于提示鲁棒性的定性和定量分析，指出了具身人工智能构建中潜在的问题。