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VETO: An Immersive Virtual Environment for Tele-Operation

Brandon Wilson, Matthew Bounds, David W. McFadden, Jace Regenbrecht, Loveth Ohenhen, Alireza Tavakkoli, Donald A. Loffredo

Year
2018
Citations
5
Access
Open access

Abstract

This work investigates an over-arching question: how can an immersive virtual environment be connected with its intelligent physical counterpart to allow for a more efficient man-machine collaboration. To this end, an immersive user interface for the purpose of robot tele-operation is designed. A large amount of sensory data is utilized to build models of the world and its inhabitants in a way that is intuitive to the operator and accurately represents the robot’s real-world state and environment. The game client is capable of handling multiple users, much like a traditional multiplayer game, while visualizing multiple robotic agents operating within the real world. The proposed Virtual Environment for Tele-Operation (VETO) architecture is a tele-operation system that provides a feature-rich framework to implement robotic agents into an immersive end-user game interface. Game levels are generated dynamically on a Graphic Processing Unit or GPU-accelerated server based on real-world sensor data from the robotic agents. A set of user studies are conducted to validate the performance of the proposed architecture compared to traditional tele-robotic applications. The experimental results show significant improvements in both task completion time and task completion rate over traditional tools.

Keywords

Computer scienceHuman–computer interactionTask (project management)Virtual machineRobotArchitectureInterface (matter)Virtual realityArtificial intelligenceOperating system

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