Tzafestas
S.G., Stamou G.B., Roumeliotis S.I., Papadopoulos, N.K.:
"An expert
system for flexible robotic assembly under uncertainty based on fuzzy inference"
Abstract:
One of the most important
robotic applications in manufacturing is automated assembly. The design and implementation
of a robotic assembly system is a costly and time consuming problem. Additionally,
if techniques that assume a known environment and known constraints are used,
the whole system must be redesigned when some of the assumptions are no longer
valid. The purpose of this paper is to provide a method for a flexible intelligent
assembly system using the hierarchical model. The focus is on the product model
abstraction level and an expert system for assembly is designed based on fuzzy
logic. This system, called OPASSEQ, provides the optimum assembly sequence that
satisfies the given constraints and goals. An example illustrates how the system
works.
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