移动机器人的自主导航与避障：分类与综述
Autonomous Navigation and Collision Avoidance for Mobile Robots: Classification and Review
AI总结：
本文提出一种针对自主移动机器人自主无碰撞导航的三阶段五步分类法，梳理各阶段主流方法与技术，建立软硬件输入与自主导航的联系，为未来项目提供知识基础。
摘要：
本文为自主移动机器人（AMRs）引入了一种新颖的分类法，将其分为三个阶段和五个步骤，重点关注自主无碰撞导航。此外，还提出了所提分类每个阶段的主要方法和广泛接受的技术。该分类旨在促进理解并建立系统独立输入变量（硬件、软件）与自主导航之间的联系。通过分析传感器及自主导航所用方法等成熟技术，本文旨在提供可应用于未来移动机器人项目的知识基础。
英文摘要：
This paper introduces a novel classification for Autonomous Mobile Robots (AMRs), into three phases and five steps, focusing on autonomous collision-free navigation. Additionally, it presents the main methods and widely accepted technologies for each phase of the proposed classification. The purpose of this classification is to facilitate understanding and establish connections between the independent input variables of the system (hardware, software) and autonomous navigation. By analyzing well-established technologies in terms of sensors and methods used for autonomous navigation, this paper aims to provide a foundation of knowledge that can be applied in future projects of mobile robots.
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。
