Abstract
Visual servo robot control systems provide feedback on the relative end-effector position of a robot. They offer an interactive positioning mechanism which depends upon extraction and interpretation of visual information from the environment. In this paper, we characterise visual servo systems by the feedback representation mode, position-based or image-based, and the joint control mode, closed-loop or open-loop. The design problems posed by nonlinear and coupling transformations introduced by visual tracking systems are discussed, and a design strategy which utilises adaptive control, direction detection, and a logical control hierarchy is proposed.
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References
D. Nitzan and C. Rosen, et. al. ‘Machine Intelligence Research Applied to Industrial Automation’. Tech. report 9, SRI International (August 1979).
G. Agin, ‘Real Time Control of a Mobile Robot with a Camera’. Tech. note 179, SRI International (February 1979).
G. Vanderbrug, et. al. ‘A Vision System for Real Time Control of Robots’, Proc. 9th Int. Symp. on Industrial Robots, Washington, DC. USA, pp. 213–231, Society of Manufacturing Engineers (March 1979).
S. Kashioka, et. al. ‘An Approach to the Integrated Intelligent Robot with Multiple Sensory Feedback: Visual Recognition Techniques’, Proc. 7th Int. Symp. on Industrial Robots, Tokyo, Japan, pp. 531–538, Japan Industrial Robot Association (October 1977).
K. Tani, et. al. ‘High Precision Manipulator with Visual Sense’, Proc. 7th Int. Symp. on Industrial Robots, Tokyo, Japan, pp. 561–568, Japan Industrial Robot Association (October 1977).
M. R. Ward, et al. ‘Consight: A Practical Vision-Based Robot Guidance System’, Proc. 9th Int. Symp. on Industrial Robots, Washington, DC, USA, pp. 195–211, Society of Manufacturing Engineers (March 1979).
J. Birk, et. al. ‘General Methods to Enable Robots with Vision to Acquire, Orient, and Transport Workpieces’. Tech. report 5, University of Rhode Island (August 1979).
R. Abraham, ‘APAS: Adaptable Programmable Assembly System’. Computer Vision and Sensor Based Robots, G. Dodd and G. Rossol, eds., Plenum, pp. 117–140 (1979).
A. C. Sanderson and L. E. Weiss, ‘Image-Based Visual Servo Control Using Relational Graph Error Signals’. Proc. of the Int. Conf. on Cybernetics and Society, Cambridge, MA, IEEE SMC, pp. 1074–1077 (October 1980).
H. P. Moravec, ‘Obstacle Avoidance and Navigation in the Real World by a Seeing Eye Robot Rover’. Tech. report 3, Carnegie-Mellon Univ., The Robotics Institute (September 1980).
R. P. Paul, Robot Manipulators: Mathematics, Programming, and Control, MIT Press (1981).
J. S. Albus, ‘A New Approach to Manipulator Controls: The Cerebellar Model Articulation Controller (CMAC)’, Trans. ASME Journal of Dynamic Systems, Measurement and Control’, pp. 220–227 (September 1975).
A. K. Bejczy, ‘Robot Arm Dynamics and Control’. NASA—JPL Technical Memorandum, 33–669 (February 1974).
B. K. P. Horn and M. H. Raibert, ‘Manipulator control using the configuration space method’, The Industrial Robot, Vol. 5, No. 2, pp. 69–73 (June 1978).
J. Luh, M. Walker and R. Paul, ‘Resolved Acceleration Control of Mechanical Manipulation’. IEEE Trans. on Automatic Control, AC-25, 3, pp. 468–474 (June 1980).
D. E. Orin, R. B. McGhee, M. Vukobratovic, et. al. ‘Kinematic and Kinetic Analysis of Open-Chain Linkages Utilising Newton-Euler Methods’. Math. Biosc. 43, pp. 107–130 (1979).
Y. D. Landau, Adaptive Control— The Model Reference Approach. Marcel Decker (1979).
K. S. Norendra, ed., Applications ofAdaptive Control, Academic Press (1980).
K. S. Norendra, ed., Proc. Workshop on Applications of Adaptive Systems Theory, Yale University (May 1981).
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© 1983 Springer-Verlag Berlin Heidelberg
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Sanderson, A.C., Weiss, L.E. (1983). Adaptive Visual Servo Control of Robots. In: Pugh, A. (eds) Robot Vision. International Trends in Manufacturing Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-09771-7_7
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DOI: https://doi.org/10.1007/978-3-662-09771-7_7
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