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Abstract(s)
Cloud-based solutions are among the most widely proposed solutions to address the
challenges inherent in modern robotics. Cloud robotics is a field of robotics that
leverages cloud-based technologies and concepts such as cloud computing or storage
to enhance robotic solutions while also driving down the cost of each individual
robot. By employing containerization technology, robots can offload computationally
intensive tasks to the cloud while ensuring low-latency communication through edge
devices. This approach aims to enhance scalability, resource efficiency, and real-time
responsiveness in cloud-edge robotics applications. The use of such technologies
facilitates dynamic assignment of tasks to decentralized heterogeneous robotic fleets.
To enable this, an architecture is proposed where a container orchestration system
is configured across nodes in the cloud and edge, including robotic end nodes. This
architecture is also capable of addressing many of the challenges faced by resourceconstrained
robots and can facilitate communication avenues between robotic end
nodes that cannot be integrated with the cluster. Several tests are carried out and
metrics are collected and analysed that enable insights into master node resource
provisioning and the advantages of a cloud-edge based architecture. Other functional
tests are also conducted and elaborated upon, including a prototype integrating
multiple projects. The test results demonstrate that the architecture is valid and
can serve as a foundation for further work in the field.
Description
Keywords
Robótica Robótica em nuvem Armazenamento em nuven Tecnologia de virtualização Computação móvel