Abstract: Path planning is an essential part of autonomous robots so that they can work in real environments with several obstacles. There are two method of path planning classical and heuristic methods which are categorized according to their efficiency and complexity. Heuristic methods are based on machine learning algorithms which can find more feasible solutions. In this paper a review of heuristic algorithms used for path planning are discussed according to their feasibility and complexity. Different papers on heuristic algorithms are discussed to find out the computational complexity and efficiency of the algorithm.
Keywords: Path Planning; Neural Networks; Fuzzy Logic Based Algorithms; Hybrid Algorithms; Nature Inspired Algorithms.
| DOI: 10.17148/IJARCCE.2021.10112