CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Comparison of Simulation Models for a Cleaner Robot

by Rahul Ravindran
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 13
Year of Publication: 2014
Authors: Rahul Ravindran
10.5120/16851-6726

Rahul Ravindran . Comparison of Simulation Models for a Cleaner Robot. International Journal of Computer Applications. 96, 13 ( June 2014), 1-6. DOI=10.5120/16851-6726

@article{ 10.5120/16851-6726,
author = { Rahul Ravindran },
title = { Comparison of Simulation Models for a Cleaner Robot },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 13 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number13/16851-6726/ },
doi = { 10.5120/16851-6726 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:21:37.859402+05:30
%A Rahul Ravindran
%T Comparison of Simulation Models for a Cleaner Robot
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 13
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Simulation algorithms like random walk and standard walk can be used to simulate the working of a cleaner robot assigned a task of cleaning the room, This paper represents a way to simulate and conclude which model would be best suited for a robot to clean a room efficiently. The algorithms implemented represent a stochastic simulations which results in random behavior, causing the results to fluctuate over many iterations, however after an analysis of large number of such test cases and statistical data, a conclusion can be made as to which model would best serve the purpose. The end result is a model that when applied to the robot with the given task would perform it effectively and quickly in the least possible time and any given condition.

References
  1. H. Choset. Coverage for roboticsa survey of recent results. " Annals of Mathematics and Artificial Intelligence", 31(1):113126, 2001.
  2. L. H. Erickson, J. Knuth, J. M. OKane, and S. M. LaValle. "Probabilistic localization with a blind robot". In Proc. of the IEEE Intl. Conf On Robotics and Automation, 2008
  3. K. Helsgaun. "An effective implementation of the lin-kernighan trav- eling salesman heuristic". European Journal of Operational Research,126:106130, 2000
  4. W. Y. Jeong and K. M. Lee. "Cv-slam: A new ceiling visionbased slam technique". Proc. of Robotics: Science and Systems (RSS), 2005.
  5. E. Kruse and F. M. Wahl. "Camera-based observation of obstacle motions to derive statistical data for mobile robot motion planning".
  6. M. Lagoudakis, E. Markakis, D. Kempe, P. Keskinocak, A. Kleywegt, S. Koenig, C. Tovey, A. Meyerson, and S. Jain. "Auction-based multi- robot routing". In Proc. of Robotics: Science and Systems (RSS), 2005.
  7. J. C. Latombe. "Robot Motion Planning". Springer Verlag, 1990.
  8. G. Lawitzky. "A navigation system for cleaning robots". Autonomous Robots, 9(3):255260, 2000.
  9. M. Luber, G. D. Tipaldi, and K. Arras. "Place-dependent people tracking". In Proc. of the Intl. Symposium of Robotics Research (ISRR),2009.
  10. R. Mannadiar and I. Rekleitis. "Optimal coverage of a known arbitrary environment". In Proc. of the IEEE Intl. Conf. on Robotics and Automation(ICRA), 2010
  11. H. Moravec and A. Elfes. "High resolution maps from wide angle sonar". In Proc. of the IEEE Intl. Conf. on Robotics and Automation(ICRA), 1985
  12. B. Siciliano and O. Khatib, editors. Handbook of Robotics. Springer,2008.
  13. S. Thrun, W. Burgard, and D. Fox. Probabilistic Robotics. MIT Press,2006.
  14. Y. Zhang, J. Liu, G. Hoffmann, M. Quilling, K. Payne, P. Bose, and A. Zimdars. "Real-time indoor mapping for mobile robots with limited sensing". In Proc. of the 3rd Intl. Workshop on Mobile Entity Localization and Tracking , 2010.
  15. R. Zlot, A. Stentz, M. B. Dias, and S. Thayer. "Multi-robot exploration controlled by a market economy". In Proc. of the IEEE Intl. Conf. on Robotics and Automation(ICRA), 2002
Index Terms

Computer Science
Information Sciences

Keywords

Simulation RandomWalk StandardWalk Cleaner Robot Stochastic

Powered by PhDFocusTM