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: UNIVERSITY OF MÁLAGA
DEPARTMENT: SYSTEM ENGINEERING AND AUTOMATION
DATES: 15/11/19 to 15/11/21 - On March 2, 2021, it was EXTENDED TO 14/06/22
TEAM:

  • Dr. Juan-Antonio Fernández-Madrigal (PI)
  • Dr. Alfonso García-Cerezo
  • Dr. Ana Cruz-Martín
  • Dr. Vicente Arévalo-Espejo
  • Manuel Castellano Quero (PhD Student)

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.

Publications

Publications in the scope of this project: