Low Cost Obstacle Avoidance Robot with Logic Gates and Gate Delay Calculations
Automation, Control and Intelligent Systems
Volume 6, Issue 1, February 2018, Pages: 1-7
Received: Nov. 8, 2017;
Accepted: Jan. 16, 2018;
Published: Feb. 6, 2018
Views 2105 Downloads 112
Dewan Mohammed Abdul Ahad, Electrical & Electronic Engineering, Atish Dipankar University of Science & Technology, Dhaka, Bangladesh
Dewan Mohammed Rashid, Electrical & Electronic Engineering, Ahsanullah University of Science & Technology, Dhaka, Bangladesh
Md. Sajid Hossain, Electrical & Electronic Engineering, American International University-Bangladesh, Dhaka, Bangladesh
Follow on us
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.
DDMR, Logic Gate, IR Sensor, K-Map, Gate Delay
To cite this article
Dewan Mohammed Abdul Ahad,
Dewan Mohammed Rashid,
Md. Sajid Hossain,
Low Cost Obstacle Avoidance Robot with Logic Gates and Gate Delay Calculations, Automation, Control and Intelligent Systems.
Vol. 6, No. 1,
2018, pp. 1-7.
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
M. Egeerstedt, Module 2: Mobile robots, Control of mobile robots. Coursera, 2014.
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.
R. C. Arkin, Behaviour-Based Robotics – MIT Press, Cambridge, MA, 1998.
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.
P. Lima and M. I. Ribeiro, “Mobile robotics,” Instituto superior teecnico/instituto de sistemas e robotica, March 2002.
H. Henderson, Modern Robotics: Building Versatile Machines, ICBN 0-8160-5745-1, Chelsea House, New York, 2006, pp. 109.
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.
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.
S. M. Lavalle, “Planning Algorithms,” Cambridge University Press, 2006.
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.