Alejandro Carrasco-Elizalde and Peter Goldsmith


  1. [1] F. Chaumette and S. Hutchinson, Visual servo control. I. Basicapproaches, Robotics and Automation Magazine, IEEE, 13,2006, 82–90.
  2. [2] F. Chaumette and S. Hutchinson, Visual servo control. II.Advanced approaches, Robotics and Automation Magazine,IEEE, 14, 2007, 109–118.
  3. [3] J. Zhou and C.M. Clark, Autonomous fish tracking by ROVusing monocular camera, Canadian Conference on Computerand Robot Vision, 2006, 68.
  4. [4] A. Diosi, F. Spindler, A. Remazeilles, and F. Chaumette,Visual path following using only monocular vision for urbanenvironments, Intelligent Robots and Systems, IROS, 2007,2563–2564.
  5. [5] F. Chaumette and E. Malis, 2 1/2 visual servoing: a possiblesolution to improve image-based and position-based visualservoings, IEEE Int. Conf. on Robotics and Automation, ICRA,2000, 630–635.
  6. [6] B. Espiau, Effect of camera calibration errors on visual servoingin robotics, Proc. 3th Int. Symp. on Experimental Robotics,Kyoto, 1993, 187–193.
  7. [7] K. Hosoda and M. Asada, Versatile visual servoing withoutknowledge of true Jacobian, Proc. Int. Conf. on IntelligentRobots and Systems, 1994, 186–193.
  8. [8] M. Jagersand, O. Fuentes, and R. Nelson, Experimental eval-uation of uncalibrated visual servoing for precision manipu-lation, Proc. Int. Conf. on Robotics and Automation, 1997,2874–2880.
  9. [9] R. Kelly, R. Carelli, O. Nasisi, B. Kuchen, and F. Reyes,Stable visual servoing of camera-in-hand robotic systems,IEEE/ASME Transactions on Mechatronics, 5(1), 2000, 39–47.
  10. [10] A. Astolofi, L. Hsu, M. Netto, and R. Ortega, Two solutionsof the adaptive visual servoing problem, IEEE TransactionsRobotics and Automation, 18(3), 2002, 387–392.
  11. [11] J. Piepmeier, B. Gumpert, and H. Lipkin, Uncalibrated eye-in-hand visual servoing, Proc. IEEE Int. Conf. on Roboticsand Automation, Washington, DC, May 2004, 143–147.
  12. [12] J. Piepmeier, G. McMurray, and H. Lipkin, Uncalibrateddynamic visual servoing, IEEE Transactions on Robotics andAutomation, 20(1), 2004, 143–147.
  13. [13] R. Kelly, E. Bugarin, I. Cervantes, and J. Alvarez-Ramirez,Monocular direct visual servoing for regulation of manipulatorsmoving in the 3D cartesian space, Proc. IEEE Conf. onDecision and Control, San Diego, 2006, 1782–1787.
  14. [14] C. Cheah, C. Liu, and J. Slotine, Adaptive Jacobian trackingcontrol of robots with uncertainties in kinematic, dynamic andactuator models, IEEE Transactions on Automatic Control,51(6), 2006, 1024–1028.
  15. [15] H. Wang, Y. Liu, and D. Zhou, Adaptive visual servoingusing point and line features with an uncalibrated eye-in-handcamera, IEEE Transactions on Robotics, 24(4), 2008, 843–857.
  16. [16] X. Liang, H. Wang, and W. Chen, Uncalibrated fixed-cameravisual servoing of robot manipulators by considering the motordynamics, Proc. IEEE Int. Conf. on Multisensor Fusion andIntegration for Intelligent Systems, September 2012, 426–431.
  17. [17] A. Carrasco Elizalde, Robust adaptive control for visual servoingof a robot arm, Ph.D Thesis, University of Calgary, 2011.
  18. [18] J.J. McConnell, Computer graphics: theory into practice, Jonesand Bartlett Publisher, 2006, 7–11.
  19. [19] L.E. Weiss, Dynamic visual servo control of robots: an adaptiveimage approach, Ph.D dissertion, Carnegie-Mellon University,Pittsburgh, PA, 1984.355
  20. [20] D. Dasgupta, S. Yu, and F. Nino, Recent advances in artificialimmune systems: models and applications, Journal AppliedSoft Computing, 2010, 1574–1587.
  21. [21] V. Cutello, G. Nicosia, and M. Pavone, Real coded clonalselection algorithm for unconstrained global optimization usinga hybrid inversely proportional hyper mutation operator, 21stAnnual ACM Symp. on Applied Computing, SAC 2006, Dijon,France. ACM Press, 2, 2006, 950–954.
  22. [22] Z. Chen, Data mining based on clonal selection wavelet network,Eighth ACIS Int. Conf. on Software Engineering, ArtificialIntelligence, Networking, and Parallel/Distributed Computing,July, 2007, 665–669.
  23. [23] W. Huang and L. Jiao, Artificial immune kernel clusteringnetwork for unsupervised image segmentation, Progress inNatural Science, 18(4), 2008, 455–461.
  24. [24] J.H. Carter, The Immune System as a model for patternrecognition and classification, Journal of the American MedicalInformatics Association, 7(3), 2000, 28–41.
  25. [25] F. Lewis, D. Dawson, and C. Abdallah, Robot manipulatorcontrol: theory and practice (Marcel Dekker Pub.), 2004, 126.
  26. [26] J.E. Slotine and W. Li, On the adaptive control of robotmanipulators, International Journal of Robotics Research, 6(3),1987, 49–59.
  27. [27] J. Feddema and O. Mitchell, Vision-guided servoing withfeature-based trajectory generation, IEEE Transactions onRobotics and Automation, 5(5), 1989, 691–700.
  28. [28] K. Hashimoto, T., Kimoto, and T. Ebine, Manipulator controlwith image-based visual servo, IEEE Int. Conf. on Roboticsand Automation, 3, April 1991, 2267–2271.
  29. [29] D. Liberzon, Switching in systems and control (BirkhauserBoston), 2003, 173.
  30. [30] Unimation Inc., Danbury, Unimate Puma 700 Robot Volume1: Technical Manual, Version 2.0, April 1986.
  31. [31] A. Andreas and W.-S. Lu, Practical optimization: Algorithmsand engineering applications, Chapter 7, (Springler, 2007),175–199.
  32. [32] M. Shahamiri and M. Jagersand, Uncalibrated visual servoingusing a biased Newton method for on-line singularity detectionand avoidance, Proc. IEEE/RSJ Int. Conf. on Intell. RoboticSyst. (IROS 2006), 2006, 3953–3958.

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