We are currently conducting research activities related to communication issues of Unmanned Aerial Vehicles (i.e., Drones), such as Micro Aerial Vehicles (MAVs) and MAV swarms. Examples include MAV planification issues related to MAVs with navigation system without relying on GPS-like techniques and adversarial MAV activities. Research is conducted using numeric and network simulations, as well as testbed and lab facilities to explore the complexity and impact of each of those communication models in terms of swarm intelligence. Current results include the use of smart landmarks to provide quality amplification and error reduction, as well as the use of fuzzy systems and Generative Adversarial Networks. Our work explores the complexity and impact of novel solutions in terms of increasing swarm intelligence.
Source Code & Publications
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