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• W4306753414 abstract "The design of cloud robotics systems must carefully consider the requirements of network and cloud performance to maintain suitable levels of QoS for a given application. When offloading parts of a robot’s processing to the cloud, system performance and safety become highly dependent on the capacity of network and cloud technologies to fulfill a given set of requirements. This is further complicated when the robot must interact with a person, and HRI may be compromised by poor QoS. Although research in the field of cloud-enabled and human-in-the-loop CPS has gained traction in the last years, there is still a need for systematically setting the requirements posed by the interplay of these factors. This results in a lack of understanding of how infrastructure-related QoS issues inherent to cloud robotics affect user-perceived QoE during HRI. In this chapter, we use the eHealth field to highlight the importance of understanding a system’s requirements during cloud integration. By the end of the chapter, we present a case study considering cloud-enabled robots used for assisting human locomotion. This kind of system relies on close physical HRI and imposes multiple challenges on the adoption of cloud robotics. We finalize by discussing the impacts of overall QoS in the perceived QoE when a user interacts with a robot." @default.
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• W4306753414 date "2022-10-20" @default.
• W4306753414 modified "2023-09-26" @default.
• W4306753414 title "Offloading Robots’ Processing to the Cloud" @default.
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• W4306753414 doi "https://doi.org/10.1007/978-3-031-16908-3_2" @default.
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