Workspace Scaling and Rate Mode Control for Virtual Reality based Robot Teleoperation
We explored rate mode control for virtual reality (VR) based robot teleoperation with constant and variable mapping of the human-operator's joystick position to the speed (rate) of the robot's end-effector. The variable mapping depended on the visual scale of the virtual reconstruction of...
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Published in: | 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) pp. 607 - 612 |
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Format: | Conference Proceeding |
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17-10-2021
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Abstract | We explored rate mode control for virtual reality (VR) based robot teleoperation with constant and variable mapping of the human-operator's joystick position to the speed (rate) of the robot's end-effector. The variable mapping depended on the visual scale of the virtual reconstruction of the remote environment to the scale of the real remote environment. We demonstrated how the rate mode control and variable scaling based on the VR reconstruction scale can be efficiently used for seated VR based robot teleoperation when the operator's arms are supported to reduce tiredness. The experimental study with five human participants demonstrated that variable mapping allowed participants to teleoperate the robot more effectively, by adjusting the VR visual scale albeit at a cost of increased perceived workload. |
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AbstractList | We explored rate mode control for virtual reality (VR) based robot teleoperation with constant and variable mapping of the human-operator's joystick position to the speed (rate) of the robot's end-effector. The variable mapping depended on the visual scale of the virtual reconstruction of the remote environment to the scale of the real remote environment. We demonstrated how the rate mode control and variable scaling based on the VR reconstruction scale can be efficiently used for seated VR based robot teleoperation when the operator's arms are supported to reduce tiredness. The experimental study with five human participants demonstrated that variable mapping allowed participants to teleoperate the robot more effectively, by adjusting the VR visual scale albeit at a cost of increased perceived workload. |
Author | Althoefer, Kaspar Valle, Maurizio Omarali, Bukeikhan Farkhatdinov, Ildar Mastrogiovanni, Fulvio |
Author_xml | – sequence: 1 givenname: Bukeikhan surname: Omarali fullname: Omarali, Bukeikhan email: b.omarali@qmul.ac.uk organization: Queen Mary University of London,School of Electronic Engineering and Computer Science,UK – sequence: 2 givenname: Kaspar surname: Althoefer fullname: Althoefer, Kaspar organization: Queen Mary University of London,School of Electronic Engineering and Computer Science,UK – sequence: 3 givenname: Fulvio surname: Mastrogiovanni fullname: Mastrogiovanni, Fulvio organization: University of Genoa – sequence: 4 givenname: Maurizio surname: Valle fullname: Valle, Maurizio organization: University of Genoa,Cosmic Lab,Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture,Italy – sequence: 5 givenname: Ildar surname: Farkhatdinov fullname: Farkhatdinov, Ildar email: i.farkhatdinov@qmul.ac.uk organization: Queen Mary University of London,School of Electronic Engineering and Computer Science,UK |
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Snippet | We explored rate mode control for virtual reality (VR) based robot teleoperation with constant and variable mapping of the human-operator's joystick position... |
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StartPage | 607 |
SubjectTerms | Conferences Costs Cybernetics End effectors Virtual reality Visualization |
Title | Workspace Scaling and Rate Mode Control for Virtual Reality based Robot Teleoperation |
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