Path Planning of Mobile Robot Using Fuzzy-Potential Field Method | Zendy

Alaa A. Ahmed | Zendy; Turki Y. Abdalla | Zendy; Ali A. Abed | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Path Planning of Mobile Robot Using Fuzzy-Potential Field Method

Author(s) -

Alaa A. Ahmed,

Turki Y. Abdalla,

Ali A. Abed

Publication year - 2015

Publication title -

iraqi journal for electrical and electronic engineering

Language(s) - English

Resource type - Journals

eISSN - 2078-6069

pISSN - 1814-5892

DOI - 10.37917/ijeee.11.1.4

Subject(s) - mobile robot , motion planning , computer science , maxima and minima , field (mathematics) , fuzzy logic , path (computing) , combing , artificial intelligence , robot , trajectory , mobile robot navigation , control engineering , robot control , engineering , mathematics , geography , programming language , mathematical analysis , physics , cartography , astronomy , pure mathematics

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 to solve drawbacks of artificial potential field method such as local minima problems, make an effective motion planner and improve the quality of the trajectory of mobile robot.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research