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.
Published in | Internet of Things and Cloud Computing (Volume 2, Issue 1) |
DOI | 10.11648/j.iotcc.20140201.11 |
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), 2014. Published by Science Publishing Group |
Bluetooth Connection, Queue Data Structure, AVR Micro Controller, Intelligent Agent – Multi Processor Architecture, I2C Communication
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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
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
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
@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://article.sciencepublishinggroup.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} }
TY - JOUR T1 - A Method to Increase the Computing Speed of 2 on 2 Soccer Robots by Implementing Distributed Computation in Multi-Processor Architecture (Experimental Research) AU - Yahya Hassanzadeh-Nazarabadi AU - Sanaz Taheri-Boshrooyeh AU - Milad Bahrami AU - Danial Bahrami Y1 - 2014/05/30 PY - 2014 N1 - https://doi.org/10.11648/j.iotcc.20140201.11 DO - 10.11648/j.iotcc.20140201.11 T2 - Internet of Things and Cloud Computing JF - Internet of Things and Cloud Computing JO - Internet of Things and Cloud Computing SP - 1 EP - 5 PB - Science Publishing Group SN - 2376-7731 UR - https://doi.org/10.11648/j.iotcc.20140201.11 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. VL - 2 IS - 1 ER -