Adaptive tracking control for robots with unknown kinematic and dynamic properties

International Journal of Robotics Research

Volumn 25, Issue 3, 2006, Pages 283-296

  Cheah, C C ^a   Liu, C ^a   Slotine, J J E ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Adaptive control; Adaptive Jacobian control; Tracking control; Visual servoing

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; CAMERAS; CONTROL EQUIPMENT; KINEMATICS; ROBOTS;

ADAPTIVE CONTROL; ADAPTIVE JACOBIAN CONTROL; TRACKING CONTROL; VISUAL SERVOING;

TRACKING (POSITION);

EID: 33645660991     PISSN: 02783649     EISSN: 17413176     Source Type: Journal    
DOI: 10.1177/0278364906063830     Document Type: Article

References (60)

1. An, C. H., Atkeson, C. G., and Hollerbach, J. M. 1988. Model-Based Control of a Robot Manipulator, Cambridge, MA, MIT Press.
2. Arbib, M. A., Schweighofer, N., and Thach, W. T. 1995. Modeling the cerebellum: from adaptation to coordination. Motor Control and Sensory-Motor Integration: Issues and Directions, D. J. Glencross and J. P. Piek, Eds., Amsterdam, Elsevier, pp. 11 - 36.
3. Arimoto, S. 1996. Control Theory of Nonlinear Mechanical Systems - A Passivity-Based and Circuit-Theoretic Approach. Oxford, Clarendon.
4. Arimoto, S. 1999. Robotics research toward explication of everyday physics. International Journal of Robotic Research 18 (11). 1056 - 1063. 1999.
5. Berghuis, H., Ortega, R. and Nijmeijer, H. 1993. A robust adaptive robot controller. IEEE Transactions on Robotics and Automation 9 (6). 825 - 830.
6. Cheah, C. C., Hirano, M., Kawamura, S., and Arimoto, S. 2003. Approximate Jacobian control for robots with uncertain kinematics and dynamics. IEEE Transactions on Robotics and Automation 19 (4). 692 - 702.
7. Cheah, C. C., Liu, C., and Slotine, J. J. E. 2004. Approximate Jacobian adaptive control for robot manipulators. Proceedings of IEEE International Conference on Robotics and Automation, (New Orleans, LA), pp. 3075 - 3080.
8. Cheah, C. C., Liu, C., and Slotine, J. J. E. 2004. Experiments on adaptive control of robots with uncertain kinematics and dynamics. Proceedings of International Symposium on Experimental Robotics, (Singapore).
9. Cheah, C. C., Kawamura, S., and Arimoto, S. 1999. Feedback control for robotic manipulators with an uncertain Jacobian matrix. Journal of Robotic Systems 12 (2). 119 - 134.
10. Craig, J. J. 1986. Introduction to Robotics. New York, Addison-Wesley.
11. Craig, J. J. 1988. Adaptive Control of Mechanical Manipulators. NewYork, Addison-Wesley.
12. Craig, J. J., Hsu, P., and Sastry, S. S. 1987. Adaptive control of mechanical manipulators. International Journal of Robotics Research 6 (2). 16 - 28.
13. Deng, L., Janabi-Sharifi, F., and Wilson, W. J. 2002. Stability and robustness of visual servoing methods. Proceedings of IEEE International Conference on Robotics and Automation, (Washington, DC), pp. 1605 - 1609.
14. Dixon, W. E. 2004. Adaptive regulation of amplitude limited robot manipulators with uncertain kinematics and dynamics. Proceedings of American Control Conference, (Boston, MA), pp. 3939 - 3844.
15. Espiau, B. 1993. Effect of camera calibration errors on visual servoing in robotics. Proceedings of International Symposium on Experimental Robotics, (Kyoto, Japan), pp. 182 - 192.
16. Espiau, B., Chaumette, F., and Rives, P. 1992. A new approach to visual servoing in robotics. IEEE Transactions on Robotics and Automation 3: 313 - 326.
17. Gans, N. R., Hutchinson, G. H. S., and Corke, P. 2003. Performance tests for visual servo control systems, with application to partitioned approaches to visual servo control. International Journal of Robotics Research 10 (11). 955 - 981.
18. Hutchinson, G. H. S., and Corke, P. 1996. A tutorial on visual servo control. IEEETransactions on Robotics andAutomation 12 (5). 651 - 670.
19. Hollerbach, J. M. 1980. A recursive Lagrangian formulation of manipulator dynamics and a comparative study of dynamics formulation complexity. IEEE Transactions on Systems, Man, and Cybernetics, SMC-10, No. 11, pp. 730 - 736.
20. Imamizu, H., Uno, Y., and Kawato, M. 1998. Adaptive internal-model of intrinsic kinematics involved in learning an aiming task. Journal of Experimental Psychology: Human Perception and Performance 24 (3). 812 - 829.
21. Ioannou, P., and Sun, J. 1996. Robust Adaptive Control. Englewood Cliffs, NJ, Prentice-Hall.
22. Jägersand, Fuentes, M. O., and Nelson, R. 1996. Acquiring visual-motor models for precision manipulation with robot hands. Proceedings of 4th European Conference on Computer Vision, pp. 603 - 612.
23. Kelly, R., and Carelli, R. 1988. Unified approach to adaptive control of robotic manipulators. Proceedings of 27th IEEE Conference on Decision and Control, 2: 1598 - 1603.
24. Koditschek, D. E. 1987. Adaptive techniques for mechanical systems. 5th Yale Workshop on Applications of Adaptive Systems Theory, (New Haven, CT), pp. 259 - 265.
25. Lee, K. W., and Khalil, H. 1997. Adaptive output feedback control of robot manipulators using high gain observer. International Journal of Control 67 (6). 869 - 886.
26. Lewis, F. L., Abdallah, C. T., and Dawson, D. M. 1993. Control of Robot Manipulators. NewYork, Macmillan.
27. Lewis, F. L. 1996. Neural network control of robot manipulators. IEEE Expert: Intelligent Systems and Their Applications 11 (3). 64 - 75.
28. Li, W. 1990. Adaptive control of robot manipulators. Doctoral Thesis, MIT, Department of Mechanical Engineering, June.
29. Luh, J.Y. S., Walker, M. H., and Paul, R. P. 1980. On-line computational scheme for mechanical manipulator. Journal of Dynamic Systems, Measurement, and Control 102: 69 - 76.
30. Malis, E. 2004. Visual servoing invariant to changes in camera intrinsic parameters. IEEE Transactions on Robotics and Automation 20 (1). 72 - 81.
31. Malis, E., and Chaumette, F. 2002. Theoretical improvements in the stability analysis of a new class of model-free visual servoing methods. IEEE Transactions on Robotics and Automation 18 (2). 176 - 186.
32. Malis, E., Chaumette, F., and Boudet, S. 1999. 2D 1/2 visual servoing. IEEE Transactions on Robotics and Automation 15 (2). 234 - 246.
33. Malis, E., and Rives, P. 2003. Robustness of image-based visual servoing with respect to depth distribution errors. Proceedings of IEEE International Conference on Robotics and Automation, (Taipei, Taiwan, September).
34. Middleton, R. H., and Goodwin, G. C. 1988. Adaptive computed torque control for rigid link manipulators. Systems and Control Letters 10: 9 - 16.
35. Miura, K., Hashimoto, K., Gangloff, J., and de Mathelin, M. 2005. Visual servoing without Jacobian using modified simplex optimization. Proceedings of IEEE International Conference on Robotics and Automation, (Barcelona, Spain), pp. 3515 - 3529.
36. Nakamura, Y. 1985. Advanced Robotics. Reading, MA, Addison-Wesley.
37. Niemeyer, G., and Slotine, J. J. E. 1991. Performance in adaptive manipulator control. International Journal of Robotics Research 10 (2). 149 - 161.
38. Ortega, R., and Spong, M. W. 1989. Adaptive motion control of rigid robots: a tutorial. Automatica 25 (6). 877 - 888.
39. Paden, B., and Panja, R. 1988. A globally asymptotically stable "PD+" controller for robot manipulator. International Journal of Control 47 (6). 1697 - 1712.
40. Papanikolopoulos, N. P., and Khosla, P. K. 1993. Adaptive robotic visual tracking: theory and experiments. IEEE Transactions on Automatic Control 38 (3). 429 - 445.
41. Papanikolopoulos, N. P., Khosla, P. K. and Kanade, T. 1993. Visual tracking of amoving target by a camera mounted on a robot: a combination of control and vision. IEEE Transactions on Robotics and Automation 9 (1) 14 - 35.
42. Pavani, F., and Castiello, U. 2004. Binding personal and extrapersonal space through body shadows. Nature Neuroscience 7: 14 - 16.
43. Pouget, A. and Snyder, L. H. 2000. Computational approaches to sensorimotor transformations. Nature Neuroscience 3: 1192 - 1198.
44. Renders, J. M., Rossignol, E., Becquet, M., and Hanus, R. 1991. Kinematic calibration and geometrical parameter identification for robots. IEEE Transactions on Robotics and Automation 7 (6). 721 - 732.
45. Sadegh, N., and Horowitz, R. 1990. Stability and robustness analysis of a class of adaptive controllers for robotic manipulators. International Journal of Robotics Research 9 (3). 74 - 92.
46. Sanner, R., and Slotine, J. J. E. 1992. Gaussian networks for direct adaptive control. IEEE. Transactions on Neural Networks 3 (6). 831 - 863.
47. Sciavicco, L., and Siciliano, B. 2000. Modelling and control of robot manipulators. NewYork, Springer.
48. Sekiyama, K., Miyauchi, S., Imaruoka, T., Egusa, H., and Tashiro, T. 2000. Body image as a visuomotor transformation device revealed in adaptation to reversed vision. Nature 407: 374 - 377.
49. Slotine, J. J. E., and Li, W. 1987a. On the adaptive control of robot manipulators. International Journal of Robotics Research 6 (3). 49 - 59.
50. Slotine, J. J. E., and Li, W. 1987b. Adaptive strategies in constrained manipulation. Proceedings of IEEE International Conference on Robotics and Automation, pp. 595 - 601.
51. Slotine, J. J. E., and Li, W. 1988. Adaptive manipulator control:Acase study. IEEETransactions onAutomatic Control 33 (11). 995 - 1003.
52. Slotine, J. J. E., and Li, W. 1991. Applied Nonlinear Control. Englewood Cliffs, NJ, Prentice-Hall.
53. Takegaki, M., and Arimoto, S. 1981. A new feedback method for dynamic control of manipulators. ASME Journal of Dynamic Systems, Measurement and Control 102: 119 - 125.
54. Tin, C., and Poon, C. S. 2005. Internal models in sensorimotor integration: Perspectives from adaptive control theory. Journal of Neural Engineering 2 (3). S147 - S163.
55. Tomei, P. 2000. Robust adaptive friction compensation for tracking control of robot manipulators. IEEE Transactions on Automatic Control 45 (11). 2164 - 2169.
56. Weiss, L. E., Sanderson, A. C., and Neuman, C. P. 1987. Dynamic sensor-based control of robots with visual feedback. IEEE Transactions on Robotics and Automation RA-3 (5). 404 - 417.
57. Wen, J. T., and Bayard, D. 1988. New class of control laws for robotic manipulators - Part 2. Adaptive case. International Journal of Control 47 (5). 1387 - 1406.
58. Whitcomb, L. L., Arimoto, S., Naniwa, T., and Ozaki, F. 1996. Experiments in adaptive model-based robot force control. IEEE Control Systems Magazine 16 (1). 49 - 57.
59. Whitcomb, L. L., Rizzi, A., and Koditschek, D. E. 1993. Comparative Experiments with a New Adaptive Controller for Robot Arms. IEEE Transactions on Robotics and Automation 9 (1). 59 - 70.
60. Yazarel, H., and Cheah, C. C. 2002. Task-space adaptive control of robotic manipulators with uncertainties in gravity regressor matrix and kinematics. IEEE Transactions on Automatic Control 47 (9). 1580 - 1585.