Path planning algorithm for a car like robot based on MILP method

This project is presents an algorithm for path planning optimal routes mobile robot “like a car” to a target in unknown environment. The proposed algorithm allows a mobile robot to navigate through static obstacles and finding the path in order to reach the target without collision. This algor...

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Main Author: Mohd Sadri, Mohd Pawzi
Format: Thesis
Language:English
English
English
Published: 2013
Subjects:
Online Access:http://eprints.uthm.edu.my/1979/1/24p%20MOHD%20PAWZI%20MOHD%20SADRI.pdf
http://eprints.uthm.edu.my/1979/2/MOHD%20PAWZI%20MOHD%20SADRI%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/1979/3/MOHD%20PAWZI%20MOHD%20SADRI%20WATERMARK.pdf
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id my-uthm-ep.1979
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spelling my-uthm-ep.19792021-10-14T05:50:28Z Path planning algorithm for a car like robot based on MILP method 2013-01 Mohd Sadri, Mohd Pawzi TJ Mechanical engineering and machinery TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) This project is presents an algorithm for path planning optimal routes mobile robot “like a car” to a target in unknown environment. The proposed algorithm allows a mobile robot to navigate through static obstacles and finding the path in order to reach the target without collision. This algorithm provides the robot the possibility to move from the initial position to the final position (target). The proposed path finding strategy is to use mathematical programming techniques to find the optimal path between to state for mobile robot designed in unknown environment with stationary obstacles. Formulation of the basic problems is to have the vehicle moved from the initial dynamic state to a state without colliding with each other, while at the same time avoiding other stationary obstacles. It is shown that this problem can be rewritten as a linear program with mixed integer / linear constraints that account for the collision avoidance. This approach is that the path optimization can be easily solved using the CPLEX optimization software with AMPL interface / MATLAB. The final phases are the design and build coalitions of linear programs and binary constraints to avoid collision with obstacles by Integer Mixed Linear Program (MILP). The findings of this research have shown that the MILP method can be used in the path planning problem in terms of finding a safe and shortest path. This has been combined with collision avoidance constraints to form a mixed integer linear program, which can be solved by a commercial software package. 2013-01 Thesis http://eprints.uthm.edu.my/1979/ http://eprints.uthm.edu.my/1979/1/24p%20MOHD%20PAWZI%20MOHD%20SADRI.pdf text en public http://eprints.uthm.edu.my/1979/2/MOHD%20PAWZI%20MOHD%20SADRI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/1979/3/MOHD%20PAWZI%20MOHD%20SADRI%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
English
English
topic TJ Mechanical engineering and machinery
TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
TJ Mechanical engineering and machinery
Mohd Sadri, Mohd Pawzi
Path planning algorithm for a car like robot based on MILP method
description This project is presents an algorithm for path planning optimal routes mobile robot “like a car” to a target in unknown environment. The proposed algorithm allows a mobile robot to navigate through static obstacles and finding the path in order to reach the target without collision. This algorithm provides the robot the possibility to move from the initial position to the final position (target). The proposed path finding strategy is to use mathematical programming techniques to find the optimal path between to state for mobile robot designed in unknown environment with stationary obstacles. Formulation of the basic problems is to have the vehicle moved from the initial dynamic state to a state without colliding with each other, while at the same time avoiding other stationary obstacles. It is shown that this problem can be rewritten as a linear program with mixed integer / linear constraints that account for the collision avoidance. This approach is that the path optimization can be easily solved using the CPLEX optimization software with AMPL interface / MATLAB. The final phases are the design and build coalitions of linear programs and binary constraints to avoid collision with obstacles by Integer Mixed Linear Program (MILP). The findings of this research have shown that the MILP method can be used in the path planning problem in terms of finding a safe and shortest path. This has been combined with collision avoidance constraints to form a mixed integer linear program, which can be solved by a commercial software package.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Mohd Sadri, Mohd Pawzi
author_facet Mohd Sadri, Mohd Pawzi
author_sort Mohd Sadri, Mohd Pawzi
title Path planning algorithm for a car like robot based on MILP method
title_short Path planning algorithm for a car like robot based on MILP method
title_full Path planning algorithm for a car like robot based on MILP method
title_fullStr Path planning algorithm for a car like robot based on MILP method
title_full_unstemmed Path planning algorithm for a car like robot based on MILP method
title_sort path planning algorithm for a car like robot based on milp method
granting_institution Universiti Tun Hussein Onn Malaysia
granting_department Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate 2013
url http://eprints.uthm.edu.my/1979/1/24p%20MOHD%20PAWZI%20MOHD%20SADRI.pdf
http://eprints.uthm.edu.my/1979/2/MOHD%20PAWZI%20MOHD%20SADRI%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/1979/3/MOHD%20PAWZI%20MOHD%20SADRI%20WATERMARK.pdf
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