Remote learning for the manipulation and control of robotic cells

Abstract

This work proposes an approach to remote learning of robotic cells based on internet and simulation tools. The proposed approach, which integrates remote-learning and tele-operation into a generic scheme, is designed to enable students and developers to set-up and manipulate a robotic cell remotely. Its implementation is based on a dedicated website that supports a full three-dimensional simulation and a manual online control of the cell. The website provides high flexibility for making changes in the design of the work area, independent of the user’s location. The website can be used to further integrate full-scale remote learning labs in collaboration with other organizations.