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Optimization of Goal Targeting in 1 on 1 Soccer Robots Using Safe Points (Experimental Research)

Received: 1 July 2013     Published: 20 July 2013
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Abstract

Due to the fact that targeting the goal is the last part of soccer robot’s aggressive decision chains, aiming styles and their lack of proficiency are discussed. Then targeting based on safe points is explained and implemented. Accordingly, this method has perfect accuracy. It brings new standpoint in aiming and it’s capable of moving the barrier of its related knowledge.

Published in Automation, Control and Intelligent Systems (Volume 1, Issue 3)
DOI 10.11648/j.acis.20130103.16
Page(s) 71-74
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

1 on 1 Soccer Robots, Digital Compass, Binary Tree, Traversing a Binary Tree

References
[1] Robocup Organization, "Junior Soccer Robots Rules", Robocup, Mexico City, Mexico, 2012
[2] Iranian Robocup Organization, "Junior Soccer Robots Rules", Robocup Iran Open, Tehran, Iran, 2012
[3] Hassanzadeh Nazarabadi Y, Saghlatoon H, Sharif Shazileh A., "A method to create the most accurate goal targeting in 1 on 1 soccer robots", 5thENASE, Athens, Greece, 2010.
[4] GOROGORO, Technical Document Paper, Robocup, Mexico City, Mexico 2012.
[5] Submarine, Technical Document Paper, Robocup, Mexico City, Mexico 2012.
[6] CATASTROPHY, Technical Document Paper, Robocup, Mexico City, Mexico 2012.
[7] FRF, Technical Document Paper, Robocup, Mexico City, Mexico 2012.
[8] Fast and Smart, Technical Document Paper, Robocup, Mexico City, Mexico 2012.
[9] XYZ, Technical Document Paper, Robocup, Mexico City, Mexico 2012.
[10] FTA, Technical Document Paper, Robocup, Mexico City, Mexico 2012.
[11] A2Z, Technical Document Paper, Robocup, Mexico City, Mexico 2012.
Cite This Article
  • APA Style

    Yahya Hassanzadeh-Nazarabadi, Abolfazl Saravani, Bahareh Alizadeh. (2013). Optimization of Goal Targeting in 1 on 1 Soccer Robots Using Safe Points (Experimental Research). Automation, Control and Intelligent Systems, 1(3), 71-74. https://doi.org/10.11648/j.acis.20130103.16

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    ACS Style

    Yahya Hassanzadeh-Nazarabadi; Abolfazl Saravani; Bahareh Alizadeh. Optimization of Goal Targeting in 1 on 1 Soccer Robots Using Safe Points (Experimental Research). Autom. Control Intell. Syst. 2013, 1(3), 71-74. doi: 10.11648/j.acis.20130103.16

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    AMA Style

    Yahya Hassanzadeh-Nazarabadi, Abolfazl Saravani, Bahareh Alizadeh. Optimization of Goal Targeting in 1 on 1 Soccer Robots Using Safe Points (Experimental Research). Autom Control Intell Syst. 2013;1(3):71-74. doi: 10.11648/j.acis.20130103.16

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  • @article{10.11648/j.acis.20130103.16,
      author = {Yahya Hassanzadeh-Nazarabadi and Abolfazl Saravani and Bahareh Alizadeh},
      title = {Optimization of Goal Targeting in 1 on 1 Soccer Robots Using Safe Points (Experimental Research)},
      journal = {Automation, Control and Intelligent Systems},
      volume = {1},
      number = {3},
      pages = {71-74},
      doi = {10.11648/j.acis.20130103.16},
      url = {https://doi.org/10.11648/j.acis.20130103.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20130103.16},
      abstract = {Due to the fact that targeting the goal is the last part of soccer robot’s aggressive decision chains, aiming styles and their lack of proficiency are discussed. Then targeting based on safe points is explained and implemented. Accordingly, this method has perfect accuracy. It brings new standpoint in aiming and it’s capable of moving the barrier of its related knowledge.},
     year = {2013}
    }
    

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    AU  - Yahya Hassanzadeh-Nazarabadi
    AU  - Abolfazl Saravani
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    AB  - Due to the fact that targeting the goal is the last part of soccer robot’s aggressive decision chains, aiming styles and their lack of proficiency are discussed. Then targeting based on safe points is explained and implemented. Accordingly, this method has perfect accuracy. It brings new standpoint in aiming and it’s capable of moving the barrier of its related knowledge.
    VL  - 1
    IS  - 3
    ER  - 

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Author Information
  • Ferdowsi University, Park Sq, Mashhad, IRAN

  • Ferdowsi University, Park Sq, Mashhad, IRAN

  • Khayam University, Ghasem Abad, Mashhad, IRAN

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