Wheeled Robot Path Tracking Study Based on IMM Algorithm

2014 ◽  
Vol 1037 ◽  
pp. 228-231
Author(s):  
Li Cai ◽  
Jian Ping Jia
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Real Time ◽  
Path Tracking ◽  
Wheeled Mobile Robot ◽  
Robot Design ◽  
Matlab Software ◽  
Wheeled Robot ◽  
Simulation Results ◽  
Robot Path

This paper proposes a wheeled robot design based on IMM algorithm , aiming at how to achieve the optimization of path planning. Obstacle detecting and avoidance method for mobile robot are implemented with the photoelectric sensors. Then IMM algorithm for path planning is introduced and the simulation results in the MATLAB software show that the method of introducing IMM into mobile robot is convenient. By this means, the path planning is well optimized in real-time way for wheeled mobile robot.

Mobile Robot Design Based on Ant Colony Algorithm

2014 ◽  
Vol 484-485 ◽  
pp. 1134-1137
Author(s):  
Li Cai ◽  
Hong Xia Wu ◽  
Rong Zhang
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Real Time ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Robot Design ◽  
Simulation Results

This paper proposes a mobile robot design based on ant colony algorithm, aiming at how to achieve the optimization of path planning. Obstacle detecting and avoidance method for mobile robot are implemented with the photoelectric sensors. Then the ant colony algorithm for path planning is introduced and the simulation results in the software show that the method of introducing ant colony algorithm into mobile robot is convenient, feasible. By this means, the optimum problem is well resolved in real-time way during the running of mobile robot.

scholarly journals Wheeled Mobile Robot Path Planning and Path Tracking Controller Algorithms: A Review

2020 ◽  
Vol 13 (3) ◽  
pp. 152-164
Author(s):  
Oluwaseun. O. Martins ◽  
◽  
Adefemi. A. Adekunle ◽  
Samuel. B. Adejuyigbe ◽  
Oluwole. H. Adeyemi ◽  
...  
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Path Tracking ◽  
Wheeled Mobile Robot ◽  
Robot Path Planning ◽  
Tracking Controller ◽  
Robot Path

The Study on Mobile Robot Path Planning Based on Frog Leaping Algorithm

2012 ◽  
Vol 490-495 ◽  
pp. 808-812
Author(s):  
Zheng Ran Zhang ◽  
Ji Ying Yin
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Optimization Problem ◽  
Optimal Path ◽  
Robot Path Planning ◽  
Unknown Environment ◽  
Simulation Results ◽  
Robot Path

We have proposed a method of robot path planning in a partially unknown environment in this paper. We regard the problem of robot path planning as an optimization problem and solve it with the SFL algorithm. The position of globally best frog in each iterative is selected, and reached by the robot in sequence. The obstacles are detected by the robot sensors are applied to update the information of the environment. The optimal path is generated until the robot reaches its target. The simulation results validate the feasibility of the proposed method.

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.

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