The problem of robotic path planning has always attracted the interests of a significantly
large number of researchers due to the various constraints and issues related to it. The …

This study investigates the application of Modified Particle Swarm Optimization (MPSO) to
the problem of mobile robot navigation to determine the shortest feasible path with the …

The proposed hybrid approach integrates the trajectory planning with the path planning for
the mobile robot navigation in the indoor simulated environment. GA (Genetic Algorithm) …

This paper presents a simple and effective approach for mobile robot that detects and avoids
densely populated and randomly distributed same size circular shaped static obstacles. The …

The concept of swarm intelligence is based on the collective social behaviour of
decentralized body, either natural or artificial like ant, fish, bird, bee etc. Swarm intelligence …

In this study, an improved crossover operator is suggested, for solving path planning
problems using genetic algorithms (GA) in static environment. GA has been widely applied …

The aim of robot path planning is to search for a safe path for the mobile robot. Even though
there exist various path planning algorithms for mobile robots, yet only a few are optimized …

In the present world, mobile robot has been widely used for many functions across different
areas of life. These mobile robots can be engaged in a static or dynamic environment where …

Path planning, as the core of navigation control for mobile robots, has become the focus of
research in the field of mobile robots. Various path planning algorithms have been recently …

This paper highlights a new approach to generate an optimal collision-free trajectory path for
each robot in a cluttered and unknown workspace using enhanced particle swarm …