Improving Human Performance in Robotics: An Augmented Reality Approach

Abstract

This paper presents our initial experimental work on monitoring human performance with a novel Augmented Reality framework. The aim of this novel framework is to use it for controlling robots in everyday environments such as in homes, schools and hospitals; hence improving the interaction performance of non-robotic experts. The paper explains the steps of our experiments in detail, including two case studies during which we applied our model framework to control robots in real world scenarios. Further details on the experimental outcome are provided in this paper, along with detailed results and analysis under each case study.