In the previous years the industry has pushed for infrastructure management on the cloud, this meaning centralized computational resources which are then leased on demand. Within this paradigm there’s another option which has become a trend: Edge computing. In edge computing the “cloud” resources are carried geographically closer to the end user, which presents the same benefits as cloud computing with the addition of lower latency. Robotics applications have historically handled the computational burden locally (onboard computers) which comes with its own weight and power restrictions. Edge computing comes forward as a tool to be leveraged given its ability to perform graphically and memory dependent tasks within the critical parameter of latency allowing almost real-time results.