Review:Path Planning Techniques for Automated Guided Vehicles (AGVs)

Abstract

This paper analyzes many ways to plan the path for mobile robots and divides them into four main categories: algorithms based on samples, methods based on graphs, numerical improvement, and automatic learning techniques. Planning is an essential element in the operation of automated guide vehicles, with the primary goal of generating collision-free paths in both fixed and dynamic cases. However, challenges arise in random and irregular environments where organisms may unexpectedly shift their positions, whereas in controlled areas such as warehouses, factories, farms, and so on, the automated guide vehicles follow pre-defined paths. The survey classifies the various path planning methodologies, allowing academics to obtain valuable visions of the problem of effective and safe planning in complex situations. Reviewing literature also includes a schedule for comparison to many strategies and suggestions, as it is possible to benefit from all the methods by combining more than one way to obtain and plan safety in random and irregular places.