Mobile Robot Navigation Based on Artificial Markers: A Systematic Mapping Study

Abstract

Mobile robot navigation plays a vital role in robotics, allowing autonomous systems to function effectively across different environments. Artificial markers offer a dependable and efficient solution for localization and mapping, especially in structured environments. This systematic mapping study aims to thoroughly examine the existing body of literature, including research papers that explore mobile robot navigation techniques utilizing artificial markers. Our review systematically analyzes various aspects such as marker types, detection algorithms, and navigation strategies. The study aims to uncover research gaps, highlight emerging trends, and suggest potential future directions. By evaluating the strengths and limitations of current approaches, we strive to address key research questions related to marker-based navigation systems for mobile robots.