Mobile Robot Path Planning Based on Dynamic Fuzzy Artificial Potential Field Method
نویسندگان
چکیده
Traditional artificial potential field method has the problem of local minimum and can not satisfy the requirements of real-time mobile robot path planning, security and accessibility in dynamic environment. To deal with the problems, through taking the advantage of velocity vector, modifying potential field force function, and integrating with the fuzzy control method, adjusting the factors of repulsion potential field in real time, a new method is proposed to overcome the shortcomings of artificial potential field method. To validate the proposed method, simulation experiments are conducted in MATLAB platform, and experimental results demonstrate that the performance of this proposed method is better than the traditional artificial potential field model.
منابع مشابه
Adaptive Sliding Mode Tracking Control of Mobile Robot in Dynamic Environment Using Artificial Potential Fields
Solution to the safe and collision-free trajectory of the wheeled mobile robot in cluttered environments containing the static and/or dynamic obstacle has become a very popular and challenging research topic in the last decade. Notwithstanding of the amount of publications dealing with the different aspects of this field, the ongoing efforts to address the more effective and creative methods is...
متن کاملFormation Control and Path Planning of Two Robots for Tracking a Moving Target
This paper addresses the dynamic path planning for two mobile robots in unknownenvironment with obstacle avoidance and moving target tracking. These robots must form atriangle with moving target. The algorithm is composed of two parts. The first part of thealgorithm used for formation planning of the robots and a moving target. It generates thedesired position for the robots for the next step. ...
متن کاملPath Planning of Mobile Robot Using Fuzzy - Potential Field Method
This paper deals with the navigation of a mobile robot in unknown environment using artificial potential field method. The aim of this paper is to develop a complete method that allows the mobile robot to reach its goal while avoiding unknown obstacles on its path. An approach proposed is introduced in this paper based on combing the artificial potential field method with fuzzy logic controller...
متن کاملNavigation of a Mobile Robot Using Virtual Potential Field and Artificial Neural Network
Mobile robot navigation is one of the basic problems in robotics. In this paper, a new approach is proposed for autonomous mobile robot navigation in an unknown environment. The proposed approach is based on learning virtual parallel paths that propel the mobile robot toward the track using a multi-layer, feed-forward neural network. For training, a human operator navigates the mobile robot in ...
متن کاملMotion Path Planning for Mobile Robots
Potential field methods are rapidly gaining popularity in obstacle avoidance applications for mobile robots. The general principles of potential field path planning are presented first. The electrostatic potential field (EPF) path planner is then combined with a twolayered fuzzy logic inference engine and implemented for mobile robot navigation in a 2-D dynamic environment. The first layer of t...
متن کامل