This paper presents an effective improved artificial potential field-based regression search
(improved APF-based RS) method that can obtain a better and shorter path efficiently …

Path planning field for autonomous mobile robot is an optimization problem that involves
computing a collision-free path between initial location and goal location. In this paper, we …

Mobile robot path planning is an important research branch in the field of mobile robots. The
main disadvantage of the traditional artificial potential field (APF) method is prone to 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 …

To solve the obstacle avoidance problem of mobile robots in dynamic environment, this
paper proposes an improved artificial potential field method to solve the problems such as …

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 this paper, an improved artificial potential field method is proposed to address the
problems of excessive gravitational force, unachievable goal, and falling into concave …

Path planning is an important part of the navigation control system of mobile robots since it
plays a decisive role in whether mobile robots can realize autonomy and intelligence. The …

Our previous studies have discussed an effective improved artificial potential field based
simultaneous forward search method (an Improved APF-based SIFORS method) in known …

Path planning is one of the most interesting topics in robotics field for researchers. It
responsible to find the best path between the start and the goal point for a given …