In this paper, we introduce the concept of Parallel Evolutionary Artificial Potential Field
(PEAPF) as a new method for path planning in mobile robot navigation. The main …

This paper introduces the pseudo-bacterial potential field (PBPF) as a new path planning
method for autonomous mobile robot navigation. The PBPF allows us to obtain an optimal …

In this paper, optimal paths in environments with static and dynamic obstacles for a mobile
robot (MR) are computed using a new method for path planning. The proposed method …

This paper presents a new way for mobile robots' path planning which is based on the
Evolutionary Artificial Potential Fields (EAPF) approach. The APF theory is a traditional …

The main aim of any path/motion planning algorithm in the context of a mobile robot is to
produce a collision-/crash-free path among the goal and start points in an environment in …

The artificial potential field (APF) approach provides a simple and effective motion planning
method for practical purpose. However, artificial potential field approach has a major …

The paper introduces a path planning method for an autonomous mobile robot, called the
Discrete Artificial Potential Field algorithm (DAPF). The method is different from the currently …

The artificial potential field (APF) method is a classical path planning algorithm for mobile
robots. Although the artificial potential field method is simple, it still has some defects, which …

In the context of motion planning in robotics, the problem of path planning based on artificial
potential fields has been examined using different algorithms to avoid trapping in local …

The artificial potential field method is used in mobile robot path planning extensively
because of its simpleness, high efficiency and smooth path, but it also has its disadvantages …