跟随我：一种用于移动机器人用户识别与社会导航的架构
Follow me: an architecture for user identification and social navigation with a mobile robot
AI总结：
本文提出一种移动机器人架构，结合计算机视觉、机器学习与人工智能算法实现用户识别和社会导航，以提升人机交互的直观性与友好性。
摘要：
在过去十年中，大量服务机器人被开发出来，以满足广泛的实用目的。值得注意的是，接待和机器人引导等角色获得了广泛的普及。在这些岗位上，机器人正逐步承担起传统上由人类工作人员履行的协助客户职责。确保机器人在此类环境中安全且被社会接受地运行，构成了社会责任导航（SRN）背景下的一个根本性挑战。本文提出了一种用于移动机器人用户识别和社会导航的架构，该架构采用计算机视觉、机器学习和人工智能算法，在社会导航场景中识别并引导用户，从而提供一种直观且用户友好的机器人交互体验。
英文摘要：
Over the past decade, a multitude of service robots have been developed to fulfill a wide range of practical purposes. Notably, roles such as reception and robotic guidance have garnered extensive popularity. In these positions, robots are progressively assuming the responsibilities traditionally held by human staff in assisting customers. Ensuring the safe and socially acceptable operation of robots in such environments poses a fundamental challenge within the context of Socially Responsible Navigation (SRN). This article presents an architecture for user identification and social navigation with a mobile robot that employs computer vision, machine learning, and artificial intelligence algorithms to identify and guide users in a social navigation context, thereby providing an intuitive and user-friendly experience with the robot.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
