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DOI: 10.14569/IJACSA.2022.0130629
PDF

Comparison of Path Planning between Improved Informed and Uninformed Algorithms for Mobile Robot

Author 1: Mohamed Amr
Author 2: Ahmed Bahgat
Author 3: Hassan Rashad
Author 4: Azza Ibrahim

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 6, 2022.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: This work is concerned with the Path Planning Algorithms (PPA), which hold an important place in Robotics navigation. Navigation has become indispensable to most modern inventions. Mobile robots have to move to a relevant task point in order to achieve the tasks assigned to them. The actions, which are planned in a structure, may restrict the task duration and even in some situations, the mission tends to be accomplished. This paper aims to study and compare six commonly used informed and uninformed algorithms. Three different maps have been created with gradually increasing difficulty levels related to a number of obstacles in the tested maps. The paper provides a detailed comparison between the algorithms under investigation of several parameters such as: Total steps, straight steps, rotation steps, and search time. The promised results were obtained when the proposed algorithms were applied to a case study.

Keywords: Mobile robots; informed algorithm; uninformed algorithm; path planning

Mohamed Amr, Ahmed Bahgat, Hassan Rashad and Azza Ibrahim, “Comparison of Path Planning between Improved Informed and Uninformed Algorithms for Mobile Robot” International Journal of Advanced Computer Science and Applications(IJACSA), 13(6), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130629

@article{Amr2022,
title = {Comparison of Path Planning between Improved Informed and Uninformed Algorithms for Mobile Robot},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130629},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130629},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {6},
author = {Mohamed Amr and Ahmed Bahgat and Hassan Rashad and Azza Ibrahim}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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