Personal information

Verified email addresses

Verified email domains

Autonomous systems, Path planning
Paraguay

Biography

Federico Peralta obtained a degree in Mechatronics Engineering from the Faculty of Engineering of the National University of Asunción (2019). He finished his PhD Degree in Automatics, Electronics and Telecommunications at the University of Seville. He was always passionate about the environment and technology, a feature that led him to actively participate in resource monitoring projects using autonomous surface drones. He is also creative, very good at writing programs and loves to design and implement robot systems. He likes the challenge of working with smart colleagues in an accelerated environment. Currently, he is an assitant professor at Universidad Loyola Andalucía

Activities

Employment (2)

Universidad Loyola Andalucía: Seville, ES

2022-08 to present | Assistant Professor (Engineering)
Employment
Source: Self-asserted source
Federico Peralta

Universidad de Sevilla: Sevilla, Sevilla, ES

2020-09 to 2022-04-30 | Personal Docente e Investigador (Departamento de Ingeniería Electrónica)
Employment
Source: Self-asserted source
Federico Peralta

Education and qualifications (2)

Universidad de Sevilla: Sevilla, Andalucía, ES

2020-03 to 2022-07-25 | DOCTORADO EN INGENIERÍA AUTOMÁTICA, ELECTRÓNICA Y DE TELECOMUNICACIÓN (Departamento de Ingeniería Electrónica)
Education
Source: Self-asserted source
Federico Peralta

Universidad Nacional de Asuncion: San Lorenzo, Central, PY

2013-08-01 to 2019-12-27 | Ingeniería Mecatrónica
Education
Source: Self-asserted source
Federico Peralta

Works (7)

AquaFeL-PSO: An informative path planning for water resources monitoring using autonomous surface vehicles based on multi-modal PSO and federated learning

Ocean Engineering
2024-11 | Journal article | Author
Part of ISSN: 0029-8018
Contributors: Micaela Carolina Jara Ten Kathen; Federico Peralta; Princy Johnson; Isabel Jurado Flores; Daniel Gutiérrez Reina
Source: Self-asserted source
Federico Peralta

AquaHet-PSO: An Informative Path Planner for a Fleet of Autonomous Surface Vehicles With Heterogeneous Sensing Capabilities Based on Multi-Objective PSO

IEEE Access
2023 | Journal article
Part of ISSN: 2169-3536
Contributors: Micaela Carolina Jara Ten Kathen; Federico Peralta Samaniego; Isabel Jurado Flores; Daniel Gutiérrez
Source: Self-asserted source
Federico Peralta

Water quality online modeling using multi-objective and multi-agent Bayesian Optimization with region partitioning

Mechatronics
2023-05 | Journal article
Part of ISSN: 0957-4158
Contributors: Federico Peralta; Daniel Gutierrez Reina; Sergio Toral
Source: Self-asserted source
Federico Peralta

A Bayesian Optimization Approach for Water Resources Monitoring Through an Autonomous Surface Vehicle: The Ypacarai Lake Case Study

IEEE Access
2021 | Journal article
Source: Self-asserted source
Federico Peralta

A Bayesian Optimization Approach for Multi-Function Estimation for Environmental Monitoring Using an Autonomous Surface Vehicle: Ypacarai Lake Case Study

Electronics
2021-04 | Journal article | Author
Contributors: Federico Peralta; Daniel Gutiérrez; Sergio L Toral; Mario Arzamendia; Derlis Gregor
Source: check_circle
Multidisciplinary Digital Publishing Institute

A Comparison of Local Path Planning Techniques of Autonomous Surface Vehicles for Monitoring Applications: The Ypacarai Lake Case-study

Sensors
2020-03 | Journal article | Author
Contributors: Federico Peralta; Mario Arzamendia; Derlis Gregor; Daniel Gutiérrez; Sergio L Toral
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

Development of a Simulator for the Study of Path Planning of An Autonomous Surface Vehicle in Lake Environments

2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
2019-11-27 | Conference paper
Source: Self-asserted source
Federico Peralta