DOI:
Abstract:
Much attention has been given in recent years to the capabilities of artificial intelligence tools and their possible usefulness in the monitoring and control of manufacturing workcells. This paper presents a technique which allows the use of AI-based control approaches in manufacturing workcells without the necessity of"speeiar' computers or exotic control systems. The technique advocated is explained using a biological model as an analogy.