Digital Twins Below the Surface: Enhancing Underwater Teleoperation
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929240902991872 |
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| author | Adetunji, Favour O. Ellis, Niamh Koskinopoulou, Maria Carlucho, Ignacio Petillot, Yvan R. |
| author_facet | Adetunji, Favour O. Ellis, Niamh Koskinopoulou, Maria Carlucho, Ignacio Petillot, Yvan R. |
| contents | Subsea exploration, inspection, and intervention operations heavily rely on remotely operated vehicles (ROVs). However, the inherent complexity of the underwater environment presents significant challenges to the operators of these vehicles. This paper delves into the challenges associated with navigation and maneuvering tasks in the teleoperation of ROVs, such as reduced situational awareness and heightened teleoperator workload. To address these challenges, we introduce an underwater Digital Twin (DT) system designed to enhance underwater teleoperation, enable autonomous navigation, support system monitoring, and facilitate system testing through simulation. Our approach involves a dynamic representation of the underwater robot and its environment using desktop virtual reality, as well as the integration of mapping, localization, path planning and simulation capabilities within the DT system. Our research demonstrates the system's adaptability, versatility and feasibility, highlighting significant challenges and, in turn, improving the teleoperators' situational awareness and reducing their workload. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_07556 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Digital Twins Below the Surface: Enhancing Underwater Teleoperation Adetunji, Favour O. Ellis, Niamh Koskinopoulou, Maria Carlucho, Ignacio Petillot, Yvan R. Robotics Subsea exploration, inspection, and intervention operations heavily rely on remotely operated vehicles (ROVs). However, the inherent complexity of the underwater environment presents significant challenges to the operators of these vehicles. This paper delves into the challenges associated with navigation and maneuvering tasks in the teleoperation of ROVs, such as reduced situational awareness and heightened teleoperator workload. To address these challenges, we introduce an underwater Digital Twin (DT) system designed to enhance underwater teleoperation, enable autonomous navigation, support system monitoring, and facilitate system testing through simulation. Our approach involves a dynamic representation of the underwater robot and its environment using desktop virtual reality, as well as the integration of mapping, localization, path planning and simulation capabilities within the DT system. Our research demonstrates the system's adaptability, versatility and feasibility, highlighting significant challenges and, in turn, improving the teleoperators' situational awareness and reducing their workload. |
| title | Digital Twins Below the Surface: Enhancing Underwater Teleoperation |
| topic | Robotics |
| url | https://arxiv.org/abs/2402.07556 |