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A virtual sensor implementation for a flexible assembly machine

Published online by Cambridge University Press:  09 March 2009

J. J. Rowland  and
H. R. Nicholls
J. J. Rowland
Affiliation:
Centre for Intelligent Systems, Department of Computer Science, University of Wales, Aberystwyth, Dyfed SY23 3BZ, (U.K.)
H. R. Nicholls
Affiliation:
Centre for Intelligent Systems, Department of Computer Science, University of Wales, Aberystwyth, Dyfed SY23 3BZ, (U.K.)
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Summary

We describe a sensor integration system which we have designed and implemented for a large fully-integrated flexible assembly machine. The machine was developed by a consortium to explore the design and implementation issues involved. The sensor integration system was designed for execution on a multiple transputer architecture, and co-ordinates all the sensory information in the machine. It uses the concept of virtual sensing to provide sensory data at an appropriate level of abstraction to the machine supervisor, which controls execution of the assembly tasks.

Keywords

Virtual sensorFlexible assemblyRobotTransputer
Type
Articles
Information
Robotica , Volume 13 , Issue 2 , March 1995 , pp. 195 - 199
Copyright
Copyright © Cambridge University Press 1995

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References

1.Loughlin, C., (editor), InFACT: Project, Concepts, Machine (MCB University Press, Bradford, UK, 1992).Google Scholar
2.Williams, A.M. et al. , “A flexible assembly cell” Proc. 3rd Int. Conf. on Automated Manufacturing(IFS, Kempston, Bedford, UK,1985) pp 57–66.Google Scholar
3.Redford, A.H., “Materials handling for general-purpose assembly” Int. J. Production Research 29, No. 2. 229–246 (1991).Google Scholar
4.Nicholls, H.R. and Hardy, N.W., “Distributed touch sensing” In: (Nicholls, H.R., ed.) Advanced Tactile Sensing for Robotics (World Scientific, Singapore, 1992) Chapter 6, pp. 107–122.CrossRefGoogle Scholar
5.Nicholls, H.R., Rowland, J.J. and Sharp, K.A.I., “Virtual devices and intelligent gripper control in robotics,” Robotica 7, Part 3, 199–204 (06, 1989).CrossRefGoogle Scholar
6.Rowland, J.J. and Nicholls, H.R., “A modular approach to sensor integration in robotic assembly.” In: (Puente, E.A. and Nemes, L., eds.) Information Control Problems in Manufacturing Technology, IFAC. (Pergamon Press, Oxford, UK, 1989) pp. 371–376.Google Scholar
7.Henderson, T.C. and Shilcrat, E., “Logical sensor systems” J. Robotic Systems 1, No. 2, 169–193 (1984).Google Scholar
8.Henderson, T., Hansen, C. and Bhanu, B., “The specification of distributed sensing and control” J. Robotic Systems 2, No. 4, 387–396 (1985).Google Scholar
9.Hardy, N.W., Barnes, D.P. and Lee, M.H., “Declarative sensor knowledge in a robot monitoring system” In: (Rembold, U. & Hormann, K., eds.) NATO ASI Series, 29, Languages for Sensor-Based Control in Robotics (Springer-Verlag, New York, 1987) pp. 169–187.Google Scholar
10.Hardy, N.W., Nicholls, H.R., and Rowland, J.J., “The design of sensing commands in the InFACT assembly machine.” In: (Basanez, Luis, ed.) Proc. 23rd Int. Symp. Industrial Robots, Barcelona, 11 1992. (Associación Española de Robótica.) pp. 47–52.Google Scholar