This work introduces a robotics platform which embeds a conversational AI
agent in an embodied system for natural language understanding and intelligent
decision-making for service tasks; integrating task planning and human-like
conversation. The agent is derived from a large language model, which has
learned from a vast corpus of general knowledge. In addition to generating
dialogue, this agent can interface with the physical world by invoking commands
on the robot; seamlessly merging communication and behavior. This system is
demonstrated in a free-form tour-guide scenario, in an HRI study combining
robots with and without conversational AI capabilities. Performance is measured
along five dimensions: overall effectiveness, exploration abilities,
scrutinization abilities, receptiveness to personification, and adaptability.

本文介绍了一个机器人平台，该平台将对话型人工智能代理程序嵌入具备自然语言理解和智能决策能力的实体系统中，以整合任务规划和类人对话。该代理程序基于大型语言模型，通过学习了解广泛的一般知识。除了生成对话，此代理程序还可通过对机器人执行指令与物理世界进行交互，将沟通与行为无缝融合。此系统在自由形式的导游场景中进行了演示，在将带有和不带有对话型人工智能能力的机器人相结合的人机交互研究中进行了测试，并通过整体效果、探索能力、审核能力、拟人化接受度和适应性等五个维度进行了测量。