Ítem
| Petrovic, Tamara | |
| Alamdar, Khawaja Ghulam | |
| juny 2024 | |
|
Connectivity maintenance is an important problem in multi-robot systems, which requires
designing control algorithms to maintain network connectivity at a desired level. This work
implements connectivity control algorithms in the context of a specific multi-robot scenario.
Additionally, this controller is modified to be ’battery aware’ (BA) and minimizes the risk
of connectivity loss in case of agent failures. The proposed BA controller shows superior
performance compared to classic control, especially during transitional phases. Multiple ex periments are conducted with different topologies to generalize the performance of the pro posed controller. This work also introduces Graph Neural Networks (GNNs) for imitation
and reinforcement learning of the proposed controllers.
The applicability of the proposed algorithms is demonstrated using Crazyflie UAVs in
both simulated and real environments. 9 |
|
| application/pdf | |
| http://hdl.handle.net/10256/28349 | |
| eng | |
| Universitat de Girona. Institut de Recerca en Visió per Computador i Robòtica | |
| Attribution-NonCommercial-NoDerivatives 4.0 International | |
| http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
|
Multi-robot systems
Connectivity Maintenance Connectivity Control Graph neural networks Multi-Robots, Sistemes de Autonomous aerial vehicles Vehicles aeris autònoms Xarxes neuronals de grafs Connectivitat de xarxa |
|
| Connectivity maintenance in ad-hoc UAV networks for multi-robot missions | |
| info:eu-repo/semantics/masterThesis | |
| DUGiDocs |
