Abstract
Robots are expected to be more intelligent in consuming digital infrastructures during the process of continual learning. The future of connected Robotics should be skillful in maximizing Quality of Experience (QoE) for its vertical users rather than solely reacting to Quality of Service (QoS). The paper provides a detailed use case specification and a network softwarization paradigm for realizing the 6G vision of connected intelligence. It serves as a guidance for developing future network applications to ground the idea of the connected intelligence.
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Acknowledgement
The work in this paper is sponsored by the EU H2020 project “5G Enhance Robot Autonomy” under grant agreement number 101016681.
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Qiu, R., Li, D., Liu, E., Lessi, C.C., Agapiou, G., Gavrielides, A. (2023). Use Cases for Network Applications to Enable Connected Intelligence. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https://doi.org/10.1007/978-3-031-34171-7_13
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DOI: https://doi.org/10.1007/978-3-031-34171-7_13
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