Humanoid robots, unmanned rovers, entertainment pets, drones, and so on are great
examples of mobile robots. They can be distinguished from other robots by their ability to …

In recent years, a large number of manipulator robots have been deployed to replace or
assist humans in many repetitive and dangerous tasks. Yet, these robots have complex …

Path planning algorithms are used by mobile robots, unmanned aerial vehicles, and
autonomous cars in order to identify safe, efficient, collision-free, and least-cost travel paths …

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 …

Autonomous navigation of a robot is a promising research domain due to its extensive
applications. The navigation consists of four essential requirements known as perception …

Mobile robots have been used in different applications such as assembly, transportation,
and manufacturing. Although, the great work to get the optimum robot's path, traditional path …

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 …

Recently, research on path planning for the autonomous underwater vehicles (AUVs) has
developed rapidly. Heuristic algorithms have been widely used to plan a path for AUV, but …

We propose a novel variation to biogeography-based optimization (BBO), which is an
evolutionary algorithm (EA) developed for global optimization. The new algorithm employs …

A global path planning method is proposed based on improved ant colony optimization
according to the slow convergence speed in mobile service robot path planning. The …