A knowledge-based system for robot assembly planner

This paper focuses on the feasibility of coupling artificial intelligence (AI) with robotics for an intelligent knowledge-based computer integrated manufacturing (CIM). Effective and efficient use of assembly techniques requires that the robot task planning be compatible with the design of the components. From CAD-design information a robotic flexible assembly system is then achieved by integrating data processing and knowledge processing to determine the manipulator path generation. The output is a knowledge base which integrates automated-feature-recognition along with position and orientation needed for part mating. The key approach of our methodologies consists of artificial intelligence paradigm with the CAD modeling techniques. The result presents: 1) the mating conditions embedded in the knowledge formulation; and 2) the assembly sequence structure dedicated to the robot planner