Autonomous Navigation and Collision Avoidance for Mobile Robots: Classification and Review

TL;DR

This paper proposes a new classification system for autonomous mobile robots' navigation and collision avoidance, analyzing key methods and technologies to enhance understanding and guide future development.

Contribution

It introduces a novel classification framework for AMRs' navigation process, linking hardware and software components to improve comprehension and system design.

Findings

Classifies AMR navigation into three phases and five steps

Analyzes sensors and methods used in autonomous navigation

Provides a foundational knowledge base for future mobile robot projects

Abstract

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.