GARTHIM. Remote Reinforcement Learning for Mobile Robots Connected to Internet

This project addresses the execution of the cognitive processes of learning and decision making in mobile robots with low on-board computational power, in particular by running the processes in remote stations.

The project officially begins in November the 15th, 2019, and lasts for 2 years.

REFERENCE: UMA18-FEDERJA-113
TITLE: GARTHIM. REMOTE REINFORCEMENT LEARNING FOR MOBILE ROBOTS CONNECTED TO INTERNET
PRINCIPAL RESEARCHER: JUAN-ANTONIO FERNÁNDEZ-MADRIGAL
INSTITUTION: JUNTA DE ANDALUCÍA (Regional Government) / UNIVERSITY OF MÁLAGA
DEPARTMENT: SYSTEM ENGINEERING AND AUTOMATION
DATES: 15/11/19 to 15/11/21
EXTENDED: On March 2, 2021, it was extended till 14/06/22

Team:

  • Dr. Juan-Antonio Fernández-Madrigal (PI)
  • Dr. Alfonso García-Cerezo (researcher)
  • Dr. Ana Cruz-Martín (researcher)
  • Dr. Vicente Arévalo-Espejo (researcher)
  • Dr. Manuel Castellano Quero (collaborator)
  • Mario Rueda Castro (sw/AI engineer)
  • Benjamín Vega Herrera (former sw/AI engineer)

Institutional information (in Spanish): Proyecto de Investigación en el marco del operativo FEDER Andalucía 2014-2020, convocatoria 2018, código UMA18-FEDERJA-113; evaluado con 80 sobre 100; concedido por Resolución definitiva de 10 de octubre de 2019 del Rector de la Universidad de Málaga; con dotación de 63.353,98 € a ejecutar en 2 años.

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