Virtual training of potential function based guiding styles

Abstract

The main goal of this paper is two-fold. One goal is to adapt the advantages of using an immersive virtual environment for teaching robots. The subsequent aim is to define a suitable model for a robot guiding-style description, which can serve as an easily adaptable and implementable general guiding-style description of various mobile robots. Guidelines for virtual training and the proposed general neural network-based guiding-style description model are also introduced in this paper.