EDURobot: An educational computer simulation program for navigation of mobile robots in the presence of obstacles

International Journal of Engineering Education

Volumn 26, Issue 1, 2010, Pages 18-29

  Abiyev, R ^a   Ibrahim, D ^a   Erin, B ^a  

^a NEAR EAST UNIVERSITY   (Turkey)

Author keywords

Obstacle avoidance; Path planning; Robot navigation; Robotics education

Indexed keywords

EID: 77949517300     PISSN: 0949149X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (34)

1. B2Spice electronic Simulation Software, Beige Bag Software, http://www.beigebag.com [Accessed June, 2009].
2. Proteus Simulation Software, Labcenter Electronics, http://www.labcnter. co.uk [Accessed June, 2009].
3. MDDS Simulator, http://dambiren.tripod.com/ mddssimSetup.zip [Accessed September, 2009].
4. J. A. Sokolowski and M. B. Catherine, Principles of Modeling and Simulation: A Multidisciplinary Approach, Wiley, 2009.
5. A. Gilat, MATLAB: An Introduction with Applications, Wiley, 2008.
6. B. Hahn and D. Valentine, Essential MATLAB for Engineers and Scientists, Newnes, 2007.
7. S. J. Chapman, MATLAB Programming for Engineers, CL-Engineering, 4th Ed., 2007.
8. T. Das and I. N. Kar, Design and implementation of an adaptive fuzzy logic-based controller for wheeled mobile robots, IEEE Transactions on Control Systems Technology, 14, 2006, pp. 501-510.
9. G. Dongbing and H. Housheng, Receding horizon tracking control of wheeled mobile robots, IEEE Transactions Control Systems Technology, 14, 2006, pp. 743-749.
10. R. C. Luo, T. M. Chen and K. L. Su, Target tracking using hierarchical grey-fuzzy motion decision-making method, IEEE Transactions on Systems, Man. and Cybernetics-Part A: Cybernetic. 13, 2001, pp. 179-186.
11. C. Ye, N. H. C. Yung and D. Wang, A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance, IEEE Transactions on Systems, Man. and Cybernetics-Part B: Cybernetics, 33, 2003, pp. 17-27.
12. T. Fairchard and P. Garnier, Fuzzy control to drive car-like vehicles, Robotics and Autonomous Systems, 34, 2001, pp. 1-22.
13. M. D. Hurley, W. L. Xu and Glen Bright, Implementing fuzzy logic for machine intelligence: a case study, Int. J. Eng. Educ, 21(5), 2005, pp. 178-186.
14. P. Vadakkepat, O. C. Miin, X. Peng and T. H. Lee, Fuzzy behaviour-based control of mobile robots, IEEE Transactions on Fuzzy Systems, 12, 2004, pp. 559-564.
15. Robotics Institute of Carnegie Mellon University, http://www.ri.cmu.edu [Accessed July, 2009].
16. National Robotics Engineering Center, http://www.rec.ri.cmu.edu [Accessed July, 2009].
17. Andrew's Leap, httpV/www.cs.cmu.eduHeap [Accessed August, 2009].
18. MIT Autonomous Robot Design Competition, http://web.mit.edu/6.270/www [Accessed August, 2009].
19. I. M. Verner and D. J. Ahlgren, Robot Contest as a Laboratory for Experiential Engineering Education, Journal on Edu. Resources in Computing, 4(2), 2004.
20. A. Khamis, F.Rodriguez, R. Barber, M. A. Salichs, An Approach for Building Innovative Educational Environments for Mobile Robotics, Int. J. Eng. Educ. 22(4), 2006, pp. 732-742.
21. Mahit Gunes, A.Fevzi Baba. An Approach for Building Innovative Educational Environments for Mobile Robotics, Int. J. Eng. Educ. 22(4), 2006, pp. 732-742.
22. Fernando Torres, Francisco A. Candelas, Santiago T. Puente, Jorge Pomaresi Pablo Gil, Francisco G. Ortiz, Experiences with Virtual Environment and Remote Laboratory for learning Robotics at the University of Alicante,International Journal of Engineering Education, 22(4), 2006, pp. 732-742.
23. E. S. Conkur. RoboKol: A computer program for Path Planning for Redundant and Mobile Robots. Computer Applications in Engineering Education, 14(3), 2006, pp. 198-210.
24. Atsushi Fujimori, Peter N. Nikiforuk, and Madan M. Gupta. Adaptive Navigation of Mobile Robots with Obstacle Avoidance. IEEE Transactions on Robotics and Automation, 13(4), 1997.
25. O. Khatib. Real-time obstacle avoidance for manipulators and mobile robots. Proceedings of the IEEE Conference on Robotics and Automation, 1985, pp. 500-505.
26. Iwan Ulrich and Johann Borenstein. VFH+: Reliable obstacle avoidance for fast mobile robots, Proceedings of the 1998 IEEE International Conference on Robotics and Automation, pp. 1572-1577, May 1998.
27. R. A. Brooks. A Robust Layered Control System for a Mobile Robot, IEEE Journal of Robotics and Automation, Vol.RA-2, No.1, 1986, pp. 14-23.
28. R. A. Brooks and J. H. Connell. Asynchronous Distributed Control System for a Mobile Robot. Proceedings of the SPIE, Vol.727, 1987, pp. 77-84.
29. T. Arai, E. Pagello, and L. E. Parker, "Advances in Multi-Robot Systems", IEEE Trans. Robot. Autom., Vol.18, no.5, pp. 655-661, October, 2002.
30. R. Alami, R. Chatila, S. Fleury, M. Ghallab and F. Ingrand, An architecture for autonomy, The International Journal of Robotics Research, 17(4), 1998, pp. 315-337.
31. M. Boada, Control system for autonomous mobile robots based on reactive skills, Ph.D. thesis (in Spanish), Universidad Carlos III de Madrid, 2002.
32. R. Barber and M.A. Salichs, A New Human-Based Architecture For Intelligent Autonomous Robots, The 4th IFAC Symposium on Intelligent Autonomous Vehicles, Sapporo, Japan, 2001, pp. 85-90.
33. D. Ibrahim Teaching the Principles of Modern Electricity Metering, Int. J. Eng. Educ. 24(6), 2008, pp. 1163-1169.
34. B. Erin, R. Abiyev, D. Ibrahim Teaching robot navigation in the presence of obstacles using a computer simulation program. WCES-2010, World Conference on Educational Sciences, Istanbul, 2010 (accepted).