Publication Details
Issue: Vol 2, No 7 (2025)
Pages: 83-98
ISSN: 2997-9382

Abstract

Over the past few years, there has been a significant amount of interest in the research of path planning strategies, particularly in situations that remained static.  This is because it is pertinent to the operations of mobile robots that are successful and autonomous. The reason for this is that it is relevant.   The purpose of this study is to investigate and evaluate the algorithms and methodologies that are currently being utilized for the purpose of path planning in static settings. This study was specifically constructed for the purpose of achieving this goal.   Graph-based algorithms and sampling-based algorithms are the two kinds that will be the focus of our subsequent discussion in this section.   Both of these categories are subjected to a comprehensive investigation, with a particular emphasis placed on the underlying ideas, problems, and opportunities that lay beneath them.   A special emphasis is being placed on the specific factors that need to be taken into consideration when applying graph-based and sampling-based tactics in static settings. In addition, various trajectories for future study are being evaluated.

Keywords
path planning Mobile robots Review Static environment Sampling methods Graph methods