Multi-target path planning for mobile robot based on improved PSO algorithm

2020 ◽  
Author(s):  
Qi Lv ◽  
Dewei Yang
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Pso Algorithm ◽  
Target Path ◽  
Improved Pso

scholarly journals A COMPARATIVE STUDY FOR WHEELED MOBILE ROBOT PATH PLANNING BASED ON MODIFIED INTELLIGENT ALGORITHMS

2019 ◽  
Vol 19 (1) ◽  
pp. 60-74 ◽  
Author(s):  
Muna M AL -Nayar ◽  
Khulood E Dagher ◽  
Esraa A Hadi
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Optimization Technique ◽  
Pso Algorithm ◽  
Wheeled Mobile Robot ◽  
Robot Path Planning ◽  
Home Schools ◽  
The Social ◽  
Being There ◽  
Robot Path

From the time being, there are even instances for application of mobile robots in our lifelike in home, schools, hospitals, etc. The goal of this paper is to plan a path and minimizing thepath lengths with obstacles avoidance for a mobile robot in static environment. In this work wedepict the issue of off-line wheeled mobile robot (WMR) path planning, which best route forwheeled mobile robot from a start point to a target at a plane environment represented by 2-Dwork space. A modified optimization technique to solve the problem of path planning problemusing particle swarm optimization (PSO) method is given. PSO is a swarm intelligence basedstochastic optimization technique which imitate the social behavior of fish schooling or birdflocking, was applied to locate the optimum route for mobile robot so as to reach a target.Simulation results, which executed using MATLAB 2014 programming language, confirmedthat the suggested algorithm outperforms the standard version of PSO algorithm with the sameenvironment conditions by providing the shortest path for mobile robot.

Path Planning Method for Mobile Robot Based on Multiple Improved PSO

2021 ◽  
Author(s):  
He Jingjing ◽  
Li Xun ◽  
Ma Wenzhe ◽  
Yun Xin ◽  
Yan Dong
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Planning Method ◽  
Improved Pso

scholarly journals A Cognition Path Planning with a Nonlinear Controller Design for Wheeled Mobile Robot Based on an Intelligent Algorithm

2018 ◽  
Vol 25 (1) ◽  
pp. 64-83
Author(s):  
Ahmed S. Al-Araji ◽  
Attarid K. Ahmed ◽  
Khulood E. Dagher
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Controller Design ◽  
Optimal Path ◽  
Tracking Error ◽  
Pso Algorithm ◽  
Wheeled Mobile Robot ◽  
Torque Control ◽  
Nonlinear Controller ◽  
Reference Path

This paper presents a cognition path planning with control algorithm design for a nonholonomic wheeled mobile robot based on Particle Swarm Optimization (PSO) algorithm. The aim of this work is to propose the circular roadmap (CRM) method to plan and generate optimal path with free navigation as well as to propose a nonlinear MIMO-PID-MENN controller in order to track the wheeled mobile robot on the reference path. The PSO is used to find an online tune the control parameters of the proposed controller to get the best torques actions for the wheeled mobile robot. The numerical simulation results based on the Matlab package show that the proposed structure has a precise and highly accurate distance of the generated reference path as well as it has obtained a perfect torque control action without spikes and no saturation torque state that leads to minimize the tracking error for the wheeled mobile robot.  

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