Visualization of robot's awareness and perception

Abstract

Today, direct interaction between humans and robots is limited, although the combination of human flexibility and robots power enables a growing productivity. The problem for humans lies in the nearly unpredictable behavior and motion of the robot itself. However, we can enhance human's view with more information to get knowledge about robot's perception and awareness. We use Augmented Reality methods for providing the information in an adaptable visualization for different user types. We show that our approach leads to shorter development cycles as well as to safer human-robot interaction.