A Review of Autonomous Navigation Technology for Orchard Robots Based on Visual SLAM

Abstract

As the global population grows and urbanization accelerates, agricultural production faces challenges such as labor shortages, limited resources, and an aging population. The application of agricultural automation and intelligent technology has become an important means to improve production efficiency and reduce labor dependence. As an important area of agricultural production, the demand for labor is particularly significant. In recent years, the rapid development of real-time localization and mapping (Simultaneous Localization and Mapping) technology has provided technical support for autonomous navigation of agricultural robots. In this paper, the research background, research status, technical principles and development, application case analysis, challenges and future prospects of autonomous navigation technology for orchard robots based on visual SLAM at home and abroad are reviewed. Based on the analysis of relevant literature, this paper summarizes the application status of visual SLAM technology in orchard robot navigation and delves into its future development direction. Moreover, a well-defined and comprehensive conclusion is presented at the end to encapsulate the key insights and implications of the research.