Abstract
This paper details work on the development of an adaptive active vision system for an automated guided vehicle. An initial solution to the task of providing intelligent control of the saccades with which the AGV examines its environment is presented. A simple fuzzy logic technique suitable for implementation on a microcontroller is developed by using stochastic transition matrices. The results presented show the success of the technique in maintaining interest in objects previously located within the environment, locating new objects in an environment and making a compromise between the two.
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References
A. Abu-Alola, N. Gough, Q. Mehdi, and P. Musgrove. Application of a genetic algorithm to an actuation system for robotic vision. In Proc. IEE, Int. Conf. on Control, 1994.
R. Carpenter. Eye-motion machinery. Physics World, 2, 1989.
R. Ditchburn. Eye movements and Visual Perception. Oxford University Press, 1973.
N. Gough, A. Abu-Alola, and A. Gough. Push-pull actuation mechanisms for robotic vision. In Proc. Melecon, 1994.
S. Hacisalizhade, L. Stark, and J. Allen. Visual perception and sequences of eye movement fixations: A stochastic modelling approach. IEEE Trans. on Systems, Man and Cybernetics, 22(3):474–481, 1992.
R. Monty and J. Senders. Eye movements and psychological processes. Lawrence Earlbaum, pages 93–94, 1974.
D. Norton and L. Stark. Scanpaths in eye movements during pattern perception. Science, 171:308–311, 1971.
T. Wang, Q. Mehdi, and N. Gough. A human imitation controller for autonomous guided vehicles. In Proc. of 12th Int. Conf. on CAD/CAM Robotics and Factories of the Future, 1996.
T. Wang, Q. Mehdi, and N. Gough. A hybrid intelligent approach to navigation and control of AGVs. In Proc. of 11th Int. Conf. on Systems Engineering, 1996.
B. Zuber. Models of Oculomotor Behavior and Control. CRC Press, Boca Rotan, FL, 1981.
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© 1998 Springer-Verlag Wien
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Griffiths, I.J., Mehdi, Q.H., Gough, N.E. (1998). Fuzzy-tuned Stochastic Scanpaths for AGV Vision. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6492-1_19
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DOI: https://doi.org/10.1007/978-3-7091-6492-1_19
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83087-1
Online ISBN: 978-3-7091-6492-1
eBook Packages: Springer Book Archive