Abstract
This paper discusses an optimization-based design approach for product platform for industrial three-axis linear-type robots, which are used for carrying objects in manufacturing lines. Since specifications of those robots are varied due to operation conditions such as operation speed, distance and orientation, weight and shape of objects, etc., the concept of product platform, that some key elements are commonly used across a series of products and they are customized for individual requirements, is promising for efficiently and effectively meeting with market needs. This paper proposes an optimization-based fundamental framework toward product platform design of the industrial three-axis linear-type robots. That is, this paper proposes an optimal design method of fundamental features of robot frames that are used commonly used for a wide range of robots. Some case studies of optimal platform design of industrial three-axis linear-type robots are demonstrated by applying a genetic algorithm to such mathematical models.
