SpatiaLLM combines advanced language-based reasoning with real-time environment sensing to deliver adaptive 3D layouts and immersive user experiences. By leveraging Large Language Models as orchestrators of semantic logic—and coupling them with sensor-driven agents that detect planes, boundaries, and objects—SpatiaLLM ensures that virtual elements remain anchored, coherent, and physically consistent within the user’s real-world surroundings. This dynamic integration of computational linguistics and spatial perception facilitates a more natural presentation of 3D information, transforming traditional slides into fully interactive and environment-aware storytelling. Originally developed as a “3D PPT” concept, SpatiaLLM now extends into educational, industrial, and entertainment settings, providing a robust framework for contextualized, cross-platform MR design.

SpatiaLLM 将先进的语言推理能力与实时环境感知相结合，为混合现实应用提供自适应的三维布局和沉浸式用户体验。通过使用大型语言模型来驱动语义层面的逻辑，再辅以传感器驱动的智能体检测平面、边界与物体，SpatiaLLM 能够确保虚拟元素在用户现实环境中始终保持锚定、一致且物理合理。这个将计算语言学与空间感知紧密结合的方法，使3D信息的呈现更加自然，能够将传统的PPT升级为可交互、与环境相契合的空间化叙事形式。SpatiaLLM最初旨在打造“3D PPT”概念，如今已延伸至教育、工业和娱乐领域，为跨平台的MR设计提供了一个稳健的上下文化框架。