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Cave Exploration of Mobile Robots using Soft Computing Algorithms
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 71 - Number 22 |
| Year of Publication: 2013 |
| Authors: S. Vignesh, T. K. Karthik, P. Sonaiya Karthick |
10.5120/12618-9240
|
S. Vignesh, T. K. Karthik, P. Sonaiya Karthick . Cave Exploration of Mobile Robots using Soft Computing Algorithms. International Journal of Computer Applications. 71, 22 ( June 2013), 14-18. DOI=10.5120/12618-9240
Abstract
Cave Exploration is main task for most speleologist. There are cave humans can't enter or even survive. Technology can help them to explore cave with modern tiny robots. Mobile robot starts its job in an unknown cave environment and faces lot of obstacles and avoids it using fuzzy logic. A mobile robot records each and every position of traveling environment using Monte Carlo localization. Mobile robots also using camera's to capture each and every grid location and store it in a robot's internal memory. For robot's path planning we introduced a new methodology so that robot can map the whole cave environment in a efficient manner. This type of mobile robots will useful in an environment where people not able to travel and also this mobile robot will helpful for those who are doing researchers about cave.
References
- Zhiwei Liang, Xudong Ma and Xianzhong Dai,"Monte Carlo Localization:Extended Monte Carlo Algorithm to Collaborate Distributed Sensors For Mobile Robot Localization", Proceeding of the 2007 IEEE International Conference on Robotics and Biomimetics December 2007.
- Dieter Fox, Wolfram Burgard, Frank Dellaert, and Sebastian Thrun, "Monte Carlo Localization: Efficient Position Estimation of Mobile Robots", Proceeding of the 1999 National Conference on Artificial Intelligence (AAAI).
- A Francy Golda, S. Aridha, and D. Elakkiya,"Algorithmic Agent for Effective Mobile Robot Navigation in an Unknown Environment. " Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009.
- R. Clark, A. El-Osery, K. Wedeward, and S. Bruder "A Navigation and Obstacle Avoidance Algorithm for Mobile Robots Operating in Unknown, Maze-Type Environments" Proc. International Test and Evaluation Association Workshop on Modeling and Simulation, Las Cruces, NM, December 2004.
- Wang, L. , "Computational intelligence in autonomous mobile robotics- A review", Proceedings of the 2002 International Symposium on Micromechatronics and Human Science, Nagoya, Japan, Oct. 20-23,2002, pp 227-235
- Anytime Dynamic A*: An Anytime, Re planning Algorithm Maxim Likhachev, Dave Ferguson, Geoff Gordon, Anthony Stentz, and Sebastian Thrun School of Computer Science Computer Science Department Carnegie Mellon University Stanford University Pittsburgh, PA, USA Stanford, CA, USA
- C. W. Warren, "Fast path planning using modified a* method," in Proc. IEEE Int. Conf. Robotics and Automation, Atlanta, GA, May 1993,pp. 662-667.
- Jurgen Wolf,Wolfram Burgard,Member,IEEE and Hans Burkhardt,Member,IEEE,"Robust Vision-Based Localization by Combining an Image-Retrieval System With Monte Carlo Localization" IEEE transactions on Robotics,vol. 21,No. 2,APRIL 2005.
- "A Practical Fuzzy Logic Controller for the Path Tracking of Wheeled Mobile Robots" by T. H. Lee,H. K. Lam,F. H. F. Leung,and P. K. S. Tam.
- M D Hurley ,"Obstacle Avoidance Using Fuzzy Logic Approach".
- Han Hongling, Yang Fenglei, "Path Planning of an Indoor Mobile Robot Navigated by Infrared"
- MightyMouse: An Autonomous Maze Solving Algorithm, IEEE transactions, Kelly Ridge, Sanjeev Giri, Peter Shaw, Jason Flynn.
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