A novel approach to compensate delay in communication by predicting teleoperator behaviour using deep learning and reinforcement learning to control telepresence robot
Robots with telepresence capabilities are typically employed for tasks where human presence is not feasible due to geography, safety risks like fire or radiation exposure, or other factors like any epidemic disease. Time delay is a significant consideration in controlling a telepresence robot. This...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
John Wiley and Sons Inc
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |