Abstract
Digital twins tend to be on the way of becoming the future of robots, artificial intelligence, and IoT devices, especially in industrial applications. Creating a digital twin solution will help to solve challenges faced in managing the tasks in their operating environment since it enables an integrated solution for the framework that seamlessly connects to their physical counterparts with the latest internet technologies. In this study, we aim to develop a synchronous, situational-aware, bi-directional/multi-directional digital twin platform that allows us to perceive real-time/simultaneous flow of sensory environmental data and remotely operate robots through digital twins for continuous inspection. To achieve this aim, we will investigate the interoperability issues in robot teleoperation with 3D mapping of a remote unknown environment case scenario.
Original language | English |
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Title of host publication | 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks |
Subtitle of host publication | WoWMoM 2022 |
Editors | Liming Luke Chen, Tommaso Melodia, Eirini Eleni Tsiropoulou, Carla Fabiana Chiasserini, Raffaele Bruno, Shameek Bhattacharjee, Pantelis Frangoudis, Venkata Sriram Siddhardh Nadendla |
Place of Publication | Piscataway, US |
Publisher | IEEE |
Pages | 596-600 |
Number of pages | 5 |
Volume | 1 |
ISBN (Electronic) | 9781665408769 |
ISBN (Print) | 9781665408776 |
DOIs | |
Publication status | Published - Jun 2022 |
Externally published | Yes |
Event | 23rd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2022 - Belfast, United Kingdom Duration: 14 Jun 2022 → 17 Jun 2022 |
Conference
Conference | 23rd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2022 |
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Country/Territory | United Kingdom |
City | Belfast |
Period | 14/06/22 → 17/06/22 |
Keywords
- cloud robotics
- cyber-physical systems
- environmental digital twins
- inspection
- maintenance
- network requirements
- repair robots