With the wide deployment of autonomous multi-agent robotic systems, control solutions
based on centralized algorithms have been developed. Even though these centralized …

Over the last years, Unmanned Aerial Vehicles (UAVs) have seen significant advancements
in sensor capabilities and computational abilities, allowing for efficient autonomous …

In recent years, the need for resources for handling processes with high computational
complexity for mobile robots is becoming increasingly urgent. More specifically, robots need …

Nonlinear model predictive control (NMPC) is a promising approach for controlling large-
scale complex systems (LSS) that exhibit nonlinearity and constraints. However, its …

The fifth generation (5G) cellular network technology is mature and increasingly utilized in
many industrial and robotics applications, while an important functionality is the advanced …

This paper presents a novel framework based on edge computing, implemented using
Kubernetes orchestration, to optimally offload the computational tasks required for …

This thesis introduces a novel framework for edge robotics, enabling the advancement of
edge-connected and controlled robots. Autonomous robots, such as Unmanned Aerial …