CFP last date
15 March 2024
Reseach Article

A Novel Approach to Navigation of a Robot using a Memorizing Algorithm

by Kelvin D�souza, Steffi Joseph, Ashley Jose, Sushant Chavan, Yogesh Gholap
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 7
Year of Publication: 2012
Authors: Kelvin D�souza, Steffi Joseph, Ashley Jose, Sushant Chavan, Yogesh Gholap
http:/ijais12-450337

Kelvin D�souza, Steffi Joseph, Ashley Jose, Sushant Chavan, Yogesh Gholap . A Novel Approach to Navigation of a Robot using a Memorizing Algorithm. International Journal of Applied Information Systems. 2, 7 ( May 2012), 32-35. DOI=http:/ijais12-450337

@article{ http:/ijais12-450337,
author = { Kelvin D�souza, Steffi Joseph, Ashley Jose, Sushant Chavan, Yogesh Gholap },
title = { A Novel Approach to Navigation of a Robot using a Memorizing Algorithm },
journal = { International Journal of Applied Information Systems },
issue_date = { May 2012 },
volume = { 2 },
number = { 7 },
month = { May },
year = { 2012 },
issn = { 2249-0868 },
pages = { 32-35 },
numpages = {9},
url = { https://www.ijais.org/archives/volume2/number7/178-0337/ },
doi = { http:/ijais12-450337 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:43:50.263077+05:30
%A Kelvin D�souza
%A Steffi Joseph
%A Ashley Jose
%A Sushant Chavan
%A Yogesh Gholap
%T A Novel Approach to Navigation of a Robot using a Memorizing Algorithm
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 2
%N 7
%P 32-35
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Navigation is a very important aspect of any mobile robot. A robot that can autonomously navigate its own path is always desired for. New and employable technologies pertaining to navigation is the need of the hour. This paper sheds light on a rather simplistic and basic approach to navigation making use of a simple Algorithm. This Algorithm helps the robot to memorize the path taken and then use this memory to navigate the same path autonomously. Such an algorithm is very applicable in situations where a low cost robot is to be built with high accuracy for performing repetitive actions,for instance a floor cleaning robot or a surveillance robot

References
  1. . Fong, T. , Nourbakhsh, I. and Dautenhahn, K. (2003) A survey of Socially Interactive Robots in Robotics and Autonomous Systems 42 (2003) 143-166.
  2. "Mobile robot localization and mapping with uncertainty using scale-invariant visual landmarks," International Journal of Robotics Research, pp. 735–758, Aug. 2002.
  3. H. Ishiguro and S. Tsuji, "Image-based memory of environment," in Proceedings of the IEEE International Conference on Intelligent Robotics and Systems, 1996, pp. 634–639.
  4. Y. Matsumoto, K. Ikeda, M. Inaba, and H. Inoue, "Visual navigation using omnidirectional view sequence," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99), 1999, pp. 317–322.
  5. Y. Yagi,, Y. Nishizawa, and M. Yachida, "Map-based navigation for a mobile robot with omnidirectional image sensor COPIS," IEEE Transactions on Robotics and Automation, vol. 11, no. 5, pp. 634–648, 1995.
  6. M. ZafriBaharuddin, Izham Z. Abidin, S. SulaimanKajaMohideen, Yap Keem Siah1, Jeffrey Tan Too Chuan "Analysis of Line Sensor Configuration for the Advanced Line Follower Robot".
  7. Yang Wang , David Mulvaney , Ian Sillitoe , Erick Swere, Robot Navigation by Waypoints, Journal of Intelligent and Robotic Systems, v. 52 n. 2, p. 175-207, June 2008.
  8. Bilgic, T. and Burhan, I. , Model-based localization for an autonomous mobile robot equipped with sonar sensors. IEEE International Conference on Systems, Man, and Cybernetics. v4. 3718-3723.
  9. K. Mikolajczyk and C. Schmid, "Indexing based on scale invariant interest points," in Proceedings of the International Conference on Computer Vision, Vancouver, Canada, July 2001, pp. 525–531.
  10. T. Lozano-Perex, "A Simple Motion Planning Algorithm for General Robot Manipulators, IEEE Journal of Robotics and Automation," vol. RA-3, pp. 224--238, June 1987.
  11. Batalin, M. A. , Sukhatme, G. S. and Hattig, M. (2004) 'Mobile robot navigation using a sensor network', Proceedings of IEEE International Conference on Robotics and Automation, Los Angeles, USA, Vol. 1, May, pp. 636-641.
  12. Minguez, J. and Montano, L. , Sensor-based robot motion generation in unknown, dynamic and troublesome scenarios: real-time obstacle avoidance for fast mobile robots. Robotics and Autonomous Systems. v52. 290-311.
  13. Filliat, G. and Mayer, J. , Map based navigation in mobile robots: I. A review of localization strategies. Cognitive System Research. v4. 243-282
  14. Mayer, J. and Filliat, G. , Map based navigation in mobile robots: II. A review of map learning and path planning strategies. Cognitive System Research. v4. 283-317.
  15. ShahedShojaeipour, Sallehuddin Mohamed Haris, Muhammad IhsanKhairir, Vision-Based Mobile Robot Navigation Using Image Processing and Cell Decomposition. Proceedings of the 1st International Visual Informatics Conference on Visual Informatics
Index Terms

Computer Science
Information Sciences

Keywords

Navigation Robotics.