Autonomous mobile robot path planning is considered as a complex task in unknown, highly
uncertain and dynamic environments. The presence of diverse and uncertain objects …

The objective of this paper is to develop a path planning algorithm that is able to plan the
trajectory of mobile robots from its start point to target point in static and dynamic unknown …

Traditional APF-based mobile robot path planning approaches posses an inherent problem
which is the formation of local minimum that probably prevent robot from arriving at the …

This paper describes how soft computing methodologies such as fuzzy logic, genetic
algorithms and the Dempster–Shafer theory of evidence can be applied in a mobile robot …

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 …

This paper deals with the navigation of a mobile robot in an unknown environment by using
artificial potential field (APF) method. The aim is to develop a method for path planning of …

The artificial potential field (APF) based path planning methods have a local minimum
problem, which can trap mobile robots before reaching it's goal. In this study, a new concept …

A new fuzzy-based potential field method is presented in this paper for autonomous mobile
robot motion planning with dynamic environments including static or moving target and …

This paper presents a summary of the research aimed at developing a new reliable
methodology for robot navigation and obstacle avoidance. This new approach is based on …

The artificial potential field (APF) method is widely used for autonomous mobile robot path-
planning due to its simplicity and mathematical elegance. However, most researches are …