Real-Time Remote Control via VR over Limited Wireless Connectivity
Madushanka, H. P.; Scaciota, Rafaela; Samarakoon, Sumudu; Bennis, Mehdi (2024-10-31)
IEEE
31.10.2024
H. P. Madushanka, R. Scaciota, S. Samarakoon and M. Bennis, "Real-Time Remote Control via VR over Limited Wireless Connectivity," 2024 IEEE Symposium on Computers and Communications (ISCC), Paris, France, 2024, pp. 1-3, doi: 10.1109/ISCC61673.2024.10733587
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists,or reuse of any copyrighted component of this work in other works.
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists,or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202412097107
https://urn.fi/URN:NBN:fi:oulu-202412097107
Tiivistelmä
Abstract
This work introduces a solution to enhance human-robot interaction over limited wireless connectivity. The goal is to enable remote control of a robot through a virtual reality (VR) interface, ensuring a smooth transition to autonomous mode in the event of connectivity loss. The VR interface provides access to a dynamic 3D virtual map that undergoes continuous updates using real-time sensor data collected and transmitted by the robot. Furthermore, the robot monitors wireless connectivity and automatically switches to a autonomous mode in scenarios with limited connectivity. By integrating four key functionalities: real-time mapping, remote control through glasses VR, continuous monitoring of wireless connectivity, and autonomous navigation during limited connectivity, we achieve seamless end-to-end operation.
This work introduces a solution to enhance human-robot interaction over limited wireless connectivity. The goal is to enable remote control of a robot through a virtual reality (VR) interface, ensuring a smooth transition to autonomous mode in the event of connectivity loss. The VR interface provides access to a dynamic 3D virtual map that undergoes continuous updates using real-time sensor data collected and transmitted by the robot. Furthermore, the robot monitors wireless connectivity and automatically switches to a autonomous mode in scenarios with limited connectivity. By integrating four key functionalities: real-time mapping, remote control through glasses VR, continuous monitoring of wireless connectivity, and autonomous navigation during limited connectivity, we achieve seamless end-to-end operation.
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