  Edge computing is becoming more and more popular among researchers who seek
to take advantage of the edge resources and the minimal time delays, in order
to run their robotic applications more efficiently. Recently, many edge
architectures have been proposed, each of them having their advantages and
disadvantages, depending on each application. In this work, we present two
different edge architectures for controlling the trajectory of an Unmanned
Aerial Vehicle (UAV). The first architecture is based on docker containers and
the second one is based on kubernetes, while the main framework for operating
the robot is the Robotic Operating System (ROS). The efficiency of the overall
proposed scheme is being evaluated through extended simulations for comparing
the two architectures and the overall results obtained.
