An Augmented Reality-Based Approach for the Visual Analysis of Intelligent Mechatronic Systems Available to Purchase

In this paper we present an approach for the visual analysis of intelligent mechatronic systems during an experiment. Intelligent mechatronic systems are denoted by the term self-optimizing systems. Such systems often are embedded systems or use software-agents for control, which act autonomously during operation. These operations are invisible for the engineers. According to this, it is difficult to understand why the system acts in a certain way. We use Augmented Reality to visualize the behavior of the system by showing sensor information, the states of the system, or the simulated parts, of a system under development. Using visualization, engineers can analyse the behavior during the experiment. The approach was tested in the project Neue Bahntechnik Paderborn.