Internet of Things and Cloud Computing

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A Method to Increase the Computing Speed of 2 on 2 Soccer Robots by Implementing Distributed Computation in Multi-Processor Architecture (Experimental Research)

Received: 30 April 2014    Accepted: 21 May 2014    Published: 30 May 2014
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Abstract

Due to the competitive nature of soccer robots operations, execution speed of functions in critical actions like shooting, dribbling and positioning has an undeniable importance. In this paper the idea of implementing distributed functions for multi-processor computing in a multi-agent environment and also dividing computational load of functions among agents between teammates, is being presented for the first time. The practical implementation of this method resulted in high speed execution of the critical actions functions. Given that so far in this area of expertise, no research has been done, it is hoped that this technique can provide a practical approach.

DOI 10.11648/j.iotcc.20140201.11
Published in Internet of Things and Cloud Computing (Volume 2, Issue 1, February 2014)
Page(s) 1-5
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), 2024. Published by Science Publishing Group

Keywords

Bluetooth Connection, Queue Data Structure, AVR Micro Controller, Intelligent Agent – Multi Processor Architecture, I2C Communication

References
[1] Hassanzadeh Nazarabadi Y, Saghlatoon H, Sharif Shazi-leh A., "A method to create the most accurate goal tar-geting in 1 on 1 soccer robots", in 5th international conference on the Evaluation of Novel Approaches to Software Engineering, Athens, Greece Greece, 2010.
[2] Robocup Organization, "Jounior Soccer Robots Rules", Robocup, Mexico City, Mex-ico,2012
[3] Iranian Robocup Organization, "Jounior Soccer Robots Rules", Robocup Iran Open, Tehran, Iran, 2012
[4] Russell S, Norving P, Artificial intelligence: A Modern Approach, by Prentice Hall, 3rd edition, 2002
[5] de Melo, L.F.D.J., A.E. ; Lopes, G.M.G. ; Rosario, J.M. , Mobile robots and wheelchairs control navigation design using virtual simulator tools, in Industrial Electronics (ISIE), 2012 IEEE International Symposium on 2012, IEEE: Hangzhou, Chi-na.
[6] Guruprasad, K. R. D., P. (2012). Distributed Voronoi partitioning for multi-robot systems with limited range sensors. In Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on Vilamoura, Algarve [Portugal], IEEE: 3546- 3552.
[7] Pavone, M. A., A. ; Frazzoli, E. ; Bullo, F. (2011). "Distributed Algorithms for Environment Partitioning in Mobile Robotic Networks." Automatic Control, IEEE Transactions on 56(8): 1834- 1848.
Author Information
  • Mobile Robots Department, Parse Lab of Robotics, Mashhad, Iran

  • Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran

  • Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran

  • Semnan University, Semnan, IRAN

Cite This Article
  • APA Style

    Yahya Hassanzadeh-Nazarabadi, Sanaz Taheri-Boshrooyeh, Milad Bahrami, Danial Bahrami. (2014). A Method to Increase the Computing Speed of 2 on 2 Soccer Robots by Implementing Distributed Computation in Multi-Processor Architecture (Experimental Research). Internet of Things and Cloud Computing, 2(1), 1-5. https://doi.org/10.11648/j.iotcc.20140201.11

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    ACS Style

    Yahya Hassanzadeh-Nazarabadi; Sanaz Taheri-Boshrooyeh; Milad Bahrami; Danial Bahrami. A Method to Increase the Computing Speed of 2 on 2 Soccer Robots by Implementing Distributed Computation in Multi-Processor Architecture (Experimental Research). Internet Things Cloud Comput. 2014, 2(1), 1-5. doi: 10.11648/j.iotcc.20140201.11

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    AMA Style

    Yahya Hassanzadeh-Nazarabadi, Sanaz Taheri-Boshrooyeh, Milad Bahrami, Danial Bahrami. A Method to Increase the Computing Speed of 2 on 2 Soccer Robots by Implementing Distributed Computation in Multi-Processor Architecture (Experimental Research). Internet Things Cloud Comput. 2014;2(1):1-5. doi: 10.11648/j.iotcc.20140201.11

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  • @article{10.11648/j.iotcc.20140201.11,
      author = {Yahya Hassanzadeh-Nazarabadi and Sanaz Taheri-Boshrooyeh and Milad Bahrami and Danial Bahrami},
      title = {A Method to Increase the Computing Speed of 2 on 2 Soccer Robots by Implementing Distributed Computation in Multi-Processor Architecture (Experimental Research)},
      journal = {Internet of Things and Cloud Computing},
      volume = {2},
      number = {1},
      pages = {1-5},
      doi = {10.11648/j.iotcc.20140201.11},
      url = {https://doi.org/10.11648/j.iotcc.20140201.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.iotcc.20140201.11},
      abstract = {Due to the competitive nature of soccer robots operations, execution speed of functions in critical actions like shooting, dribbling and positioning has an undeniable importance. In this paper the idea of implementing distributed  functions for multi-processor computing in a multi-agent environment and also dividing computational load of functions among agents between teammates, is being presented for the first time. The practical implementation of this method resulted in high speed execution of the critical actions functions. Given that so far in this area of expertise, no research has been done, it is hoped that this technique can provide a practical approach.},
     year = {2014}
    }
    

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    AU  - Yahya Hassanzadeh-Nazarabadi
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    AB  - Due to the competitive nature of soccer robots operations, execution speed of functions in critical actions like shooting, dribbling and positioning has an undeniable importance. In this paper the idea of implementing distributed  functions for multi-processor computing in a multi-agent environment and also dividing computational load of functions among agents between teammates, is being presented for the first time. The practical implementation of this method resulted in high speed execution of the critical actions functions. Given that so far in this area of expertise, no research has been done, it is hoped that this technique can provide a practical approach.
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