Pablo Fernández

Implementation of test cases for LBS (Location Based Services) products.

Title: Distributed Learning Algorithms for Multi-Agent Robotic Swarms. The goal of this Master Thesis is to investigate a cooperative, distributed, training strategy that utilizes two nonlinear parameter estimation algorithms – variational Bayesian Expectation-Maximization and variational Bayesian Space-Alternating Generalized Expectation-Maximization algorithms – in the context of attribute-distributed learning for multi-agent swarms.

- Design of a tracking system to gather environmental information from polar satellites as part of the final degree project. - Dissemination of the climate parameters received at the Satellite Tracking Station of the University of Oviedo with the goal of encouraging high-school students to begin their studies in telecommunications engineering. - Maintenance of the technical equipment of the Satellite Tracking Station of the University of Oviedo.

Telecommunicactions Systems