Abstract
The U.K. Manufacturing Industry has an increasing need for greater automation for improved design, control and production. These needs have spurred on developments of existing I.T. systems, research in artificial intelligence, and new information structures and search procedures to enable efficient real-time operation. The solution of real engineering problems will require the integration of sensor signal processing techniques with knowledge based systems. The paper highlights the importance of collecting sensor information as part of a robot cell-control strategy and proposes a new model for a cell-controller using constraint modelling techniques. The advantages of such a system, based on the RASOR programming language, and its relevance to practical applications are presented. A practical demonstrator for the cell controller is being created around the problem of handling of food pieces by a robot gripper integrated with tactile sensors. This example will represent the various inaccuracies which can occur when a robot is required to work in an uncertain environment.
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