Generating Robot Motions for the Adhesive Coating System using a Predictive Model of Material Behavior

1st Report : Predicting Behavior using a Physical Parameter Modeling

Abstract

In recent years, the growing demand for low volume and high mix production has made it impossible to spend time preparing for production. In the adhesive coating system, it is necessary to generate robot motions by considering the behavior of the adhesive material, but because the behavior is difficult to predict, adjustments are made in kind, and time preparing for production is a problem. In this paper, we propose a method to generate robot motions in the adhesive coating system. A model for predicting the adhesive behavior is considered based on its physical behavior, and the parameters of the model are determined from some actual adhesive data. We also show that it is possible to generate robot motion without in-kind matching by using the model.