An Investigation of the Network Characteristics and Requirements of 3D Environmental Digital Twins for Inspection Robots

Kivrak, Hasan; Baniqued, Paul Dominick E.; Watson, Simon; Lennox, Barry

doi:10.1109/wowmom54355.2022.00093

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Still, it is currently an active area of research in the field. Our previous work investigating the factors affecting the real‐time network communication of environmental sensor data from robots suggests that it is feasible (Kivrak et al, 2022). Techniques such as compression, streaming, and asynchronous processing can be further employed in future work to minimize latency.…”

Section: Discussionmentioning

confidence: 99%

Multimodal immersive digital twin platform for cyber–physical robot fleets in nuclear environments

Baniqued,

Bremner,

Sandison

et al. 2024

Journal of Field Robotics

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The nuclear energy sector can benefit from mobile robots for remote inspection and handling, reducing human exposure to radiation. Advances in cyber–physical systems have improved robotic platforms in this sector through digital twin (DT) technology. DTs enhance situational awareness for robot operators, crucial for safety in the nuclear energy sector, and their value is anticipated to increase with the growing complexity of cyber–physical systems. The primary motivation of this work is to rapidly develop and evaluate a robot fleet interface that accounts for these benefits in the context of nuclear environments. Here, we introduce a multimodal immersive DT platform for cyber–physical robot fleets based on the ROS‐Unity 3D framework. The system design enables fleet monitoring and management by integrating building information models, mission parameters, robot sensor data, and multimodal user interaction through traditional and virtual reality interfaces. A modified heuristic evaluation approach, which accounts for the positive and negative aspects of the interface, was introduced to accelerate the iterative design process of our DT platform. Robot operators from leading nuclear research institutions (Sellafield Ltd. and the Japan Atomic Energy Agency) performed a simulated robot inspection mission while providing valuable insights into the design elements of the cyber–physical system. The three usability themes that emerged and inspired our design recommendations for future developers include increasing the interface's flexibility, considering each robot's individuality, and adapting the platform to expand sensor visualization capabilities.

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Section: Discussionmentioning

confidence: 99%

Multimodal immersive digital twin platform for cyber–physical robot fleets in nuclear environments

Baniqued,

Bremner,

Sandison

et al. 2024

Journal of Field Robotics

Self Cite

View full text Add to dashboard Cite

show abstract

“…The integration of ROS and Unity often involves the use of that it is feasible (Kivrak et al, 2022). Techniques such as compression, streaming, and asynchronous processing can be further employed in future work to minimize latency.…”

Section: Expanding Sensor Visualization Capabilitiesmentioning

confidence: 99%

Multimodal immersive digital twin platform for cyber-physical robot fleets in nuclear environments

Baniqued,

Bremner,

Sandisson

et al. 2024

Preprint

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The nuclear energy sector can benefit from mobile robots for remote inspection and handling, reducing human exposure to radiation. Advances in cyber-physical systems have improved robotic platforms in this sector through digital twin (DT) technology. DTs enhance situational awareness for robot operators, crucial for safety in the nuclear energy sector, and their value is anticipated to increase with the growing complexity of cyber-physical systems. The primary motivation of this work is to rapidly develop and evaluate a robot fleet interface that accounts for these benefits in the context of nuclear environments. Here, we introduce a multimodal immersive DT platform for cyber-physical robot fleets based on the ROS-Unity 3D framework. The system design enables fleet monitoring and management by integrating building information models, mission parameters, robot sensor data, and multimodal user interaction through traditional and virtual reality interfaces. A modified heuristic evaluation approach, which accounts for the positive and negative aspects of the interface, was introduced to accelerate the iterative design process of our DT platform. Robot operators from leading nuclear research institutions (Sellafield Ltd. and the Japan Atomic Energy Agency) performed a simulated robot inspection mission while providing valuable insights into the design elements of the cyber-physical system. The three usability themes that emerged and inspired our design recommendations for future developers include increasing the interface's flexibility, considering each robot's individuality, and adapting the platform to expand sensor visualization capabilities.

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Multi-sensory data transmission using 5G and B5G enabled network for healthcare: survey

Joshi

2024

Discov Internet Things

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The study investigates the feasibility of utilizing 5G and its future iterations (B5G) networks for the transmission of multi-sensory data, including audio, visual, haptic, olfactory, and gustatory data. The advent of 5G and B5G technologies has enabled the transmission of a wide range of sensory information in real-time or near real-time, thanks to their exceptional speed, low latency, and large capacity. The idea behind this review is to explore the technological developments that facilitate the transmission of data, such as layered protocols. This article aims to provide an overall survey and use cases for sensory data transmitted using 5G and B5G networks. The objective of this survey is to focus on challenges for multiple sensor data transmission using 5G and beyond network technologies, as well as how significant is to receive this information without losing them. Moreover, it tackles the inherent difficulties associated with guaranteeing adequate bandwidth, minimal latency, high quality of service, and robust security for the transmission of multi-sensory data via wireless networks. The goal is to provide an introductory overview for researchers, engineers, and practitioners who are interested in exploiting 5G and B5G networks to leverage the revolutionary capabilities of multi-sensory data transmission. The future scope at the end also highlights how to add enhancement in this field.

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An Investigation of the Network Characteristics and Requirements of 3D Environmental Digital Twins for Inspection Robots

Cited by 4 publications

References 8 publications

Multimodal immersive digital twin platform for cyber–physical robot fleets in nuclear environments

Multimodal immersive digital twin platform for cyber–physical robot fleets in nuclear environments

Multimodal immersive digital twin platform for cyber-physical robot fleets in nuclear environments

Multi-sensory data transmission using 5G and B5G enabled network for healthcare: survey

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