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Reseach Article

Article:Navigation of PIC based mobile robot using path planning algorithm

by Sangmeshwar S. Kendre, Pallavi V. Mulmule, Abhijeet Shinde
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 5
Year of Publication: 2010
Authors: Sangmeshwar S. Kendre, Pallavi V. Mulmule, Abhijeet Shinde
10.5120/1476-1993

Sangmeshwar S. Kendre, Pallavi V. Mulmule, Abhijeet Shinde . Article:Navigation of PIC based mobile robot using path planning algorithm. International Journal of Computer Applications. 10, 5 ( November 2010), 31-34. DOI=10.5120/1476-1993

@article{ 10.5120/1476-1993,
author = { Sangmeshwar S. Kendre, Pallavi V. Mulmule, Abhijeet Shinde },
title = { Article:Navigation of PIC based mobile robot using path planning algorithm },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 5 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 31-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number5/1476-1993/ },
doi = { 10.5120/1476-1993 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:58:58.382821+05:30
%A Sangmeshwar S. Kendre
%A Pallavi V. Mulmule
%A Abhijeet Shinde
%T Article:Navigation of PIC based mobile robot using path planning algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 5
%P 31-34
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A robot is usually an electro-mechanical machine which is guided by computer or electronic programming. Conventional line tracer robots follow path in given map. In some kind of robots path is already store in its memory and it simply follows that path. When such types of robots are left to traverse through any random maze, these robots tend to traverse all possible paths every time having no facility to remember the right path. In our robot we are providing it with the capability to traverse through any random maze and remember the right path. Thus when robot travels through the same maze again it knows which is the right path to reach destination. Also it can share this information with its other counterparts in the swarm of robots. This project depends on local path-planning algorithm using a human's heuristic and a laser range finder which has an excellent resolution with respect to angular and distance measurements is presented for real-time navigation of a mobile robot.

References
  1. Ellips Masehian, and Davoud Sedighizadeh, “Classic and Heuristic Approaches in Robot Motion Planning – A Chronological Review” Proceedings of world academy of science, engineering and technology volume 23 august 2007 issn 1307-6884.
  2. Antonelli, G.; Chiaverini, S. and Fusco, G.; “A Fuzzy-Logic-Based Approach for Mobile Robot Path Tracking”, IEEE Trans. Fuzzy Sys. Vol. 15, Issue 2, (2007) pp. 211-221.
  3. Gen, M.; Runwei C. and Dingwei W. "Genetic algorithms for solving shortest path problems", Proc. IEEE Int. Conf. on Evolutionary Comput. (1997) pp. 401 – 406.
  4. A. Atramentov and S. M. LaValle. Efficient nearest neighbor searching for motion planning. In submitted to 2002 IEEE International Conference on Robotics and Automation, 2002.
  5. James Bruce,Manuela Veloso,”Real-Time Randomized Path Planning for Robot Navigation”
  6. Gordon MaComb, Myke Predko, “ROBOT BUILDER'S BONANZA”, Third Edition, TAB
  7. Owen Bishop, “Robot Builder's Cookbook - Build and Design Your Own Robots”, Newnes
  8. Bruno Apolloni, “Machine Learning and Robot Perception”, Springer
Index Terms

Computer Science
Information Sciences

Keywords

IR Sensor PIC Heuristic algorithm DC Motor Encoder Decoder MPLAB IDE