In this study, a new mutation operator is proposed for the genetic algorithm (GA) and applied
to the path planning problem of mobile robots in dynamic environments. Path planning for a …

Mobile robots are mostly used in many industrial and military applications. Researches in
the path planning is one of the most important aspects in mobile robot researches. Path …

Path planning is an NP-hard problem that is aimed to satisfy multi-constraint optimization
requirements. In autonomous robotics applications, path planning together with collision …

In this study, a series of new concepts and improved genetic operators of a genetic algorithm
(GA) was proposed and applied to solve mobile robot (MR) path planning problems in …

Motion planning for multiple mobile robots must ensure the optimality of the path of each and
every robot, as well as overall path optimality, which requires cooperation amongst robots …

The goal of the global path planning task is to produce an optimal safe path for robot respect
to the given map. There are many global path planning methods that have been studied. In …

While the A* algorithm has been widely investigated and applied in path planning problems,
it has outstanding issues such as long calculation time, large turning angles, and the …

This paper presents the rigorous study of mobile robot navigation techniques used so far.
The step by step investigations of classical and reactive approaches are made here to …

In this paper, a bioinspired path planning approach for mobile robots is proposed. The
approach is based on the sparrow search algorithm, which is an intelligent optimization …

Global path planning is a fundamental problem of mobile robotics. The majority of global
path planning methods are designed to find a collision-free path from a start location to a …