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 …

Purpose The purpose of this paper is to consider the smooth path planning problem for a
mobile robot based on the genetic algorithm (GA) and the Bezier curve …

In this paper, a new algorithm is proposed for solving the path planning problem of mobile
robots. The algorithm is based on Artificial Potential Field (APF) methods that have been …

Robots are widely used in industry due to their efficiency and high accuracy in performance.
One of the most intriguing issues in manufacturing stage of production line is to minimize …

This paper proposes an idea about the quadrotor unmanned aerial vehicles (UAVs) flying
formation reconfiguration with collision avoidance and computation of the probabilistic …

In this paper, a new method for path planning is proposed using a genetic algorithm (GA).
Our method has two key advantages over existing GA methods. The first is a novel …

Automotive collision avoidance technology can effectively avoid the accidents caused by
dangerous traffic conditions or driver's manipulation errors. Moreover, it can promote the …

Navigation planning can be considered as a combination of searching and executing the
most convenient flight path from an initial waypoint to a destination waypoint. Generally the …

Existing potential-field based path planning methods in the literature often do not take into
account environmental constraints and robot dimensions. Moreover, they normally do not …

Path planning is an important component for a mobile robot to be able to do its job in
different types of environments. Furthermore, determining the safest and shortest path from …