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Low Cost Obstacle Avoidance Robot with Logic Gates and Gate Delay Calculations

Received: 8 November 2017     Accepted: 16 January 2018     Published: 6 February 2018
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Abstract

As a fast growing field, robots are greatly used to achieve the desired task more accurately and mitigate the difficulties in odd environments where human face immense difficulties. In this paper an obstacle avoidance robot has been designed using basic gates. It can detect the obstacle and directs itself with the help of five sensors. When sensor detects an obstacle it gives the pulse high and vice-versa. A differential drive model has been chosen, which has two wheels and a cluster wheel. Left and right motor are used as a physical machine and it will be controlled by logic; K-map has been used to do it. Basic gates help to execute the equation of motors as well as to make robot faster, precise and efficient. To make more comprehensible comparative time delay estimation has been added in this paper.

Published in Automation, Control and Intelligent Systems (Volume 6, Issue 1)
DOI 10.11648/j.acis.20180601.11
Page(s) 1-7
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), 2018. Published by Science Publishing Group

Keywords

DDMR, Logic Gate, IR Sensor, K-Map, Gate Delay

References
[1] M. Egeerstedt, Module 2: Mobile robots, Control of mobile robots. Coursera, 2014.
[2] J. Savage, S. Munoz, M. Matamoros, R. Osorio, “Obstacle Avoidance Behaviors for Mobile Robots Using Genetic Algorithms and Recurrent Neural Networks,” 6th IFAC Conference onManagement and Control of Production and Logistics, The International Federation of Automatic Control. Fortaleza, Brazil, September 11-13, 2013.
[3] R. C. Arkin, Behaviour-Based Robotics – MIT Press, Cambridge, MA, 1998.
[4] D. M. A. Ahad, A. A. Sarkar, M. A. Mannan, “Mathematical modeling and to carry out a prototype helpmate differential drive robot for hospital purpose,” American Academic & Scholarly Research Journal, vol. 2, no. 6, pp. 1-15, November 2014.
[5] P. Lima and M. I. Ribeiro, “Mobile robotics,” Instituto superior teecnico/instituto de sistemas e robotica, March 2002.
[6] H. Henderson, Modern Robotics: Building Versatile Machines, ICBN 0-8160-5745-1, Chelsea House, New York, 2006, pp. 109.
[7] J. Borenstein and Y. Koren, “Real-time obstacle avoidance for fast mobile robots,” IEEE Transactions, vol. 19, no. 5, pp. 1179-1187, Sept./Oct. 1989.
[8] D. M. A. Ahad, M. Mynuddin and D. M. Rashid, “Analyzing behaviour of differential drive mobile robot by using statistical tools,” J Electr Eng Electron Technol, vol 5: 3, DOI: 10.4172/2325-9833.1000130, 2016.
[9] S. M. Lavalle, “Planning Algorithms,” Cambridge University Press, 2006.
[10] P. Agrahri, A. Kaur, H. K. Dhanoa and G. Singh, “Obstacle avoiding robot using karnaugh map,” International Journal of Applied Engineering Research, ISSN 0973-4562, vol. 10, no. 9, pp. 21983-21990, 2015.
Cite This Article
  • APA Style

    Dewan Mohammed Abdul Ahad, Dewan Mohammed Rashid, Md. Sajid Hossain. (2018). Low Cost Obstacle Avoidance Robot with Logic Gates and Gate Delay Calculations. Automation, Control and Intelligent Systems, 6(1), 1-7. https://doi.org/10.11648/j.acis.20180601.11

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    ACS Style

    Dewan Mohammed Abdul Ahad; Dewan Mohammed Rashid; Md. Sajid Hossain. Low Cost Obstacle Avoidance Robot with Logic Gates and Gate Delay Calculations. Autom. Control Intell. Syst. 2018, 6(1), 1-7. doi: 10.11648/j.acis.20180601.11

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    AMA Style

    Dewan Mohammed Abdul Ahad, Dewan Mohammed Rashid, Md. Sajid Hossain. Low Cost Obstacle Avoidance Robot with Logic Gates and Gate Delay Calculations. Autom Control Intell Syst. 2018;6(1):1-7. doi: 10.11648/j.acis.20180601.11

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  • @article{10.11648/j.acis.20180601.11,
      author = {Dewan Mohammed Abdul Ahad and Dewan Mohammed Rashid and Md. Sajid Hossain},
      title = {Low Cost Obstacle Avoidance Robot with Logic Gates and Gate Delay Calculations},
      journal = {Automation, Control and Intelligent Systems},
      volume = {6},
      number = {1},
      pages = {1-7},
      doi = {10.11648/j.acis.20180601.11},
      url = {https://doi.org/10.11648/j.acis.20180601.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20180601.11},
      abstract = {As a fast growing field, robots are greatly used to achieve the desired task more accurately and mitigate the difficulties in odd environments where human face immense difficulties. In this paper an obstacle avoidance robot has been designed using basic gates. It can detect the obstacle and directs itself with the help of five sensors. When sensor detects an obstacle it gives the pulse high and vice-versa. A differential drive model has been chosen, which has two wheels and a cluster wheel. Left and right motor are used as a physical machine and it will be controlled by logic; K-map has been used to do it. Basic gates help to execute the equation of motors as well as to make robot faster, precise and efficient. To make more comprehensible comparative time delay estimation has been added in this paper.},
     year = {2018}
    }
    

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    AB  - As a fast growing field, robots are greatly used to achieve the desired task more accurately and mitigate the difficulties in odd environments where human face immense difficulties. In this paper an obstacle avoidance robot has been designed using basic gates. It can detect the obstacle and directs itself with the help of five sensors. When sensor detects an obstacle it gives the pulse high and vice-versa. A differential drive model has been chosen, which has two wheels and a cluster wheel. Left and right motor are used as a physical machine and it will be controlled by logic; K-map has been used to do it. Basic gates help to execute the equation of motors as well as to make robot faster, precise and efficient. To make more comprehensible comparative time delay estimation has been added in this paper.
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Author Information
  • Electrical & Electronic Engineering, Atish Dipankar University of Science & Technology, Dhaka, Bangladesh

  • Electrical & Electronic Engineering, Ahsanullah University of Science & Technology, Dhaka, Bangladesh

  • Electrical & Electronic Engineering, American International University-Bangladesh, Dhaka, Bangladesh

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