TOWARD AN OBJECT-ORIENTED AND AUTOMATED APPROACH FOR ACHIEVING ROBOTIC ASSEMBLY

This paper elaborates an object-oriented and automated approach for ge nerating assembly sequences and achieving robotic assembly. This syste m, built with database and artificial intelligence (Al) techniques, pr ovides the robot with the assembly sequence layout for the automatic h andling rule. The critical set of problems is derived from various sch emes such as model-based object recognition, features information, geo metric and physical constraints between components, knowledge interpre tation and robot task sequencing. Pattern recognition regarding shapes and features, along with a knowledge-based assembly, are the key issu es of the authors' work. The methodology is shown through two illustra tive examples involving different designs of parts in an assembly envi ronment.