AGV Integrated Navigation Based on Multi-Sensor Information Fusion

Abstract

AGV scheduling can be divided into static workshop scheduling where planning
environment information is completely known, dynamic workshop scheduling that infers
current environmental information by detection and hybrid workshop scheduling between
the two. This paper mainly focuses on algorithms related to path environment description
and algorithms related to path planning and summarizes the related research status and
progress from these two aspects. Moreover, this article takes the integrated navigation AGV
as the research object, studies the AGV integrated navigation and positioning technology
and the real-time scheduling method of the multi-AGV system, uses the multi-sensor
information fusion technology for information scheduling, and uses the positioning accuracy
and path optimization as the system optimization goals. In addition, this paper verifies the
performance of the integrated navigation method studied in this paper through a control
experiment. The research results show that the method proposed in this paper has a certain
effect