If you have any problems related to the accessibility of any content (or if you want to request that a specific publication be accessible), please contact (scholarworks@unr.edu).
VETO: An Immersive Virtual Environment for Tele-Operation
Author
Wilson, BrandonBounds, Matthew
McFadden, David
Regenbrecht, Jace
Ohenhen, Loveth
Tavakkoli, Alireza
Loffredo, Donald
Date
2018Type
ArticleAbstract
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.
Permanent link
http://hdl.handle.net/11714/5230Additional Information
Journal Title | Robotics |
---|---|
Rights | Creative Commons Attribution 4.0 International |
Rights Holder | Authors |