Abstract—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 method to plan path for a robot. The Evolutionary APF aims at helping a robot jump out of the local minimum point. Using a virtual goal to produce extra force and fixing the direction of the repulsive force are combined to prompt the robot to escape from the obstacle in different situations. The simulation result shows that the evolutionary method is effective for solving the local minimum problem. Keywords-virtual goal; artifical potential fields; local minimum point; matrix; path planning I
This paper presents an analysis of a mobile robot path planning using potential field technique. The...
Path planning is crucial for a robot to be able to reach a target point safely to accomplish a given...
Mobile robots in industry are commonly used in warehouses and factories. To achieve the highest prod...
Traditional APF-based mobile robot path planning approaches posses an inherent problem which is the ...
Mobile robots need path-planning abilities to achieve a collision-free trajectory. Obstacles between...
The artificial potential field method is used in mobile robot path planning extensively because of i...
This paper deals with the navigation of a mobile robot in an unknown environment by using artificial...
In this work, a mobile robot path-planning algorithm based on the evolutionary artificial potential ...
There is a major problem with traditional artificial potential field method. It is the formation of ...
In this paper, an enhanced artificial potential field (EAPF) planner is introduced. This planner is ...
This paper proposes a hybrid path planning method based on artificial potential field method (APF) f...
In this paper, the issue of local minima associated with GNRON (Goal Nonreachable with Obstacles Nea...
Solving the path planning problem considered as one of the most important aspects in the navigation ...
Abstract In recent years, topics related to robotics have become one of the researching fields. In t...
Abstract. The potential field method is widely used for autonomous mobile robot path planning due to...
This paper presents an analysis of a mobile robot path planning using potential field technique. The...
Path planning is crucial for a robot to be able to reach a target point safely to accomplish a given...
Mobile robots in industry are commonly used in warehouses and factories. To achieve the highest prod...
Traditional APF-based mobile robot path planning approaches posses an inherent problem which is the ...
Mobile robots need path-planning abilities to achieve a collision-free trajectory. Obstacles between...
The artificial potential field method is used in mobile robot path planning extensively because of i...
This paper deals with the navigation of a mobile robot in an unknown environment by using artificial...
In this work, a mobile robot path-planning algorithm based on the evolutionary artificial potential ...
There is a major problem with traditional artificial potential field method. It is the formation of ...
In this paper, an enhanced artificial potential field (EAPF) planner is introduced. This planner is ...
This paper proposes a hybrid path planning method based on artificial potential field method (APF) f...
In this paper, the issue of local minima associated with GNRON (Goal Nonreachable with Obstacles Nea...
Solving the path planning problem considered as one of the most important aspects in the navigation ...
Abstract In recent years, topics related to robotics have become one of the researching fields. In t...
Abstract. The potential field method is widely used for autonomous mobile robot path planning due to...
This paper presents an analysis of a mobile robot path planning using potential field technique. The...
Path planning is crucial for a robot to be able to reach a target point safely to accomplish a given...
Mobile robots in industry are commonly used in warehouses and factories. To achieve the highest prod...