ROBOTIC ASSEMBLY FOR COMPUTER-INTEGRATED MANUFACTURING

The problem of robotic assembly planning is discussed as a problem of generating of assembly sequences derived from a model-based object rec ognition and artificial intelligence (AI) reasoning for an efficient c omputer integrated manufacturing. This formulation looks at two charac teristics of the framework: how the system handles geometrical and top ological data, and how the data are processed by an Al problem-solver in search of good decisions in assembly planning. We designed a knowle dge-based system involving a CA-TIA/CAD system and a laser-based photo electric sensor to establish an accurate representation of components. The problem-solver can be thought of as a rule base interpreter for k nowledge processing. The output is a list of feasible assembly sequenc es for use by offline robotic programming to determine the manipulator path generation. The system has been applied in simulation involving; an assembly prototype sequences along with ''Towers of Hanoi'' sequen ces over different design of parts.