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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 590138, 11 pages
http://dx.doi.org/10.1155/2015/590138
Research Article

Applying BAT Evolutionary Optimization to Image-Based Visual Servoing

1Departamento de Ingenierías CUTONALA, Universidad de Guadalajara, Avenida N. Periférico No. 555 Ejido San José Tateposco, 48525 Tonalá, JAL, Mexico
2Departamento de Sistemas de Información CUCEA, Universidad de Guadalajara, Periférico Norte 799, Los Belenes, 45100 Zapopan, JAL, Mexico

Received 11 October 2014; Accepted 14 May 2015

Academic Editor: Sabri Arik

Copyright © 2015 Marco Perez-Cisneros et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. F. Chaumette and S. Hutchinson, “Visual servo control. I. Basic approaches,” IEEE Robotics and Automation Magazine, vol. 13, no. 4, pp. 82–90, 2006. View at Publisher · View at Google Scholar · View at Scopus
  2. F. Chaumette and S. Hutchinson, “Visual servo control. II. Advanced approaches,” IEEE Robotics and Automation Magazine, vol. 14, no. 1, pp. 109–118, 2007. View at Publisher · View at Google Scholar · View at Scopus
  3. F. Chaumette, “Potential problems of stability and convergence in image-based and position-based visual servoing,” in The Confluence of Vision and Control, vol. 237 of Lecture Notes in Control and Information Sciences, pp. 66–78, Springer, London, UK, 1998. View at Publisher · View at Google Scholar
  4. K. Hashimoto and H. Kimura, “LQ optimal and nonlinear approaches to visual servoing,” in Visual Servoing, K. Hashimoto, Ed., vol. 7 of World Scientific Series in Robotics and Intelligent Systems, pp. 165–198, World Scientific, Singapore, 1993. View at Google Scholar
  5. F. Schramm and G. Morel, “Ensuring visibility in calibration-free path planning for image-based visual servoing,” IEEE Transactions on Robotics and Automation, vol. 22, no. 4, pp. 848–854, 2006. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Durola, P. Dan, D. F. Coutinho, and M. Courdesses, “Rational systems and matrix inequalities to the multicriteria analysis of visual servos,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '09), pp. 1504–1509, IEEE, Kobe, Japan, May 2009. View at Publisher · View at Google Scholar
  7. P. Danés and D. Bellot, “Towards an LMI approach to multicriteria visual servoing in robotics,” European Journal of Control, vol. 12, no. 1, pp. 86–110, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  8. F. Schramm and G. Morel, “Ensuring visibility in calibration-free path planning for image-based visual servoing,” IEEE Transactions on Robotics, vol. 22, no. 4, pp. 848–854, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. G. Chesi, “Visual servoing path planning via homogeneous forms and LMI optimizations,” IEEE Transactions on Robotics, vol. 25, no. 2, pp. 281–291, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. Y. Mezouar and F. Chaumette, “Optimal camera trajectory with image-based control,” International Journal of Robotics Research, vol. 22, no. 10-11, pp. 781–803, 2003. View at Publisher · View at Google Scholar · View at Scopus
  11. M. Kazemi, K. Gupta, and M. Mehrandezh, “Global path planning for robust visual servoing in complex environments,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '09), pp. 326–332, Kobe, Japan, May 2009. View at Publisher · View at Google Scholar
  12. G. Allibert, E. Courtial, and F. Chaumette, “Predictive control for constrained image-based visual servoing,” IEEE Transactions on Robotics, vol. 26, no. 5, pp. 933–939, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. J. A. Gangloff and M. F. De Mathelin, “Visual servoing of a 6-DOF manipulator for unknown 3-D profile following,” IEEE Transactions on Robotics and Automation, vol. 18, no. 4, pp. 511–520, 2002. View at Publisher · View at Google Scholar · View at Scopus
  14. R. Ginhoux, J. Gangloff, M. de Mathelin, L. Soler, M. M. A. Sanchez, and J. Marescaux, “Active filtering of physiological motion in robotized surgery using predictive control,” IEEE Transactions on Robotics, vol. 21, no. 1, pp. 67–79, 2005. View at Publisher · View at Google Scholar · View at Scopus
  15. G. Allibert and E. Courtial, “What can prediction bring to image-based visual servoing?” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '09), pp. 5210–5215, St. Louis, Mo, USA, October 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. G. Allibert, E. Courtial, and Y. Touré, “Visual predictive control for manipulators with catadioptric camera,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA' 08), pp. 510–515, Pasadena, Calif, USA, May 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. G. Allibert, E. Courtial, and Y. Touré, “Real-time visual predictive controller for image-based trajectory tracking of mobile robot,” in Proceedings of the 17th IFAC World Congress, Seoul, Republic of Korea, July 2008.
  18. L. J. Fogel, A. J. Owens, and M. J. Walsh, Artificial Intelligence through Simulated Evolution, John Wiley, Chichester, UK, 1966.
  19. K. De Jong, Analysis of the behavior of a class of genetic adaptive systems [Ph.D. thesis], University of Michigan, Ann Arbor, Mich, USA, 1975.
  20. J. R. Koza, “Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems,” Report No. STAN-CS-90-1314, Stanford University, Stanford, Calif, USA, 1990. View at Google Scholar
  21. J. H. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, Mich, USA, 1975. View at MathSciNet
  22. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley, Boston, Mass, USA, 1989.
  23. L. N. de Castro and F. J. bon Zuben, “Artificial immune systems: part I—basic theory and applications,” Tech. Rep. TR-DCA 01/99, 1999. View at Google Scholar
  24. R. Storn and K. Price, “Differential evolution—a simple and efficient adaptive scheme for global optimisation over continuous spaces,” Tech. Rep. TR-95–012, ICSI, Berkeley, Calif, USA, 1995. View at Google Scholar
  25. S. Kirkpatrick, J. Gelatt, and M. P. Vecchi, “Optimization by simulated annealing,” Science, vol. 220, no. 4598, pp. 671–680, 1983. View at Publisher · View at Google Scholar · View at MathSciNet
  26. Ş. İ. Birbil and S.-C. Fang, “An electromagnetism-like mechanism for global optimization,” Journal of Global Optimization, vol. 25, no. 3, pp. 263–282, 2003. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  27. E. Rashedi, H. Nezamabadi-Pour, and S. Saryazdi, “Filter modeling using gravitational search algorithm,” Engineering Applications of Artificial Intelligence, vol. 24, no. 1, pp. 117–122, 2011. View at Publisher · View at Google Scholar · View at Scopus
  28. J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proceedings of the IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948, December 1995. View at Scopus
  29. M. Dorigo, V. Maniezzo, and A. Colorni, “Positive feedback as a search strategy,” Tech. Rep. 91-016, Politecnico di Milano, 1991. View at Google Scholar
  30. X.-S. Yang, “A new metaheuristic bat-inspired algorithm,” in Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), J. R. González, D. A. Pelta, C. Cruz, G. Terrazas, and N. Krasnogor, Eds., vol. 284 of Studies in Computational Intelligence, pp. 65–74, Springer, Berlin, Germany, 2010. View at Publisher · View at Google Scholar
  31. M. Morari and E. Zafiriou, Robust Process Control, Prentice-Hall, 1989.
  32. L. Wang, Model Predictive Control System Design and Implementation using MATLAB, Springer, 2009.
  33. P. Corke, Robotics, Vision and Control: Fundamental Algorithms in MATLAB, Springer Tracts in Advanced Robotics, 1st edition, 2011.
  34. F. Dunn and I. Parberry, 3D Math Primer for Graphics and Game Development, A K Peters, CRC Press, 2nd edition, 2011.