Virtual Reality Application for Co-Bot Training

Abstract

The direction of robot technology development is now towards human-centric robots where co-bots are starting to be in demand as assistants for human work. Working together means needing to get used to each other’s behavior so as to create collaborative interactions between each other. To create that sense of familiarity, Co-Bot Interaction Virtual Training (CBIVT) was developed. CBIVT is used in wireless all-in-one VR devices thereby increasing user-friendliness. As a simulation scenario of the interaction between the Co-Bot and the user, the furniture assembly procedure was chosen. And, with the help of the path finding algorithm, the behavior of the Co-Bot AI to follow and approach the user is also created. To assess the importance and satisfaction of CBIVT, 32 participants were assigned to complete scenarios and then complete a questionnaire. Using the PIECES framework to assess the above parameters, we get results of 3.95 out of 5 for importance level and 3.99 out of 5 for satisfaction level.