论文标题
加快与位置情报平台的多模式，集成-AI系统的开发
Accelerating the Development of Multimodal, Integrative-AI Systems with Platform for Situated Intelligence
论文作者
论文摘要
我们描述了位置智能平台，这是一个用于多模式，集成式系统的开源框架。该框架提供了基础架构，工具和组件，可实现和加快处理多模式数据流以及时间至关重要的应用程序的开发。该框架特别适合开发物理位置的交互式系统，这些系统感知和理由与其周围环境，以便更好地与人互动，例如社交机器人，虚拟助手，智能会议室等。在本文中，我们提供了简短的，高级的概述该框架及其主要负担，并讨论其对HRI的影响。
We describe Platform for Situated Intelligence, an open-source framework for multimodal, integrative-AI systems. The framework provides infrastructure, tools, and components that enable and accelerate the development of applications that process multimodal streams of data and in which timing is critical. The framework is particularly well-suited for developing physically situated interactive systems that perceive and reason about their surroundings in order to better interact with people, such as social robots, virtual assistants, smart meeting rooms, etc. In this paper, we provide a brief, high-level overview of the framework and its main affordances, and discuss its implications for HRI.
