Decision Making

In 2005 we started to work on the application of Reinforcement Learning to real robots. About a decade later we extended that research to the decision making process in general (not necessarily involving learning). All in all, we have studied RL in diverse contexts within robotics: robot task planning, onboard computer efficiency, robot reflex learning, robot control architectures, networked telerobots and engineering education, among others.

We have the following publications on this matter:

Journals (9)

2026

A. Bañuls-Arias, C. Galindo, A. Cruz-Martín, M. Castellano Quero, J.M. Gandarias-Palacios, J.A. Fernández-Madrigal, V. Arevalo-Espejo

Modeling Time-Aware Mobile Robot Navigation by Learning Subjective Time Maps (STM)

Computer Modeling in Engineering & Sciences, vol. 148, no. 1, pp. 33, 2026. Q1 · T1

2022

D.A. Constantinescu, Á. González-Navarro, R. Asenjo-Plaza, J.A. Fernández-Madrigal, A. Cruz-Martín

Enabling Easier Programming of Machine Learning Algorithms on Robots with oneAPI Toolkits

IEEE FeedForward Magazine, vol. 1, no. 1, pp. 2-7, 2022.

2021

J.L. Matez-Bandera, J. Monroy, J. Gonzalez-Jimenez

Efficient semantic place categorization by a robot through active line-of-sight selection

Knowledge-Based Systems, vol. 240, 2021, ISSN: 0950-7051. Q1 · T1

D.A. Constantinescu, Á. González-Navarro, F. Corbera, J.A. Fernández-Madrigal, R. Asenjo-Plaza

Efficiency and Productivity for Decision Making on Low-Power Heterogeneous CPU+GPU SoCs

Journal of Supercomputing, vol. 77, pp. 44-65, 2021. Q2 · T2

2020

D.A. Constantinescu, Á. González-Navarro, J.A. Fernández-Madrigal, R. Asenjo-Plaza

Performance Evaluation of Decision Making under Uncertainty for Low Power Heterogeneous Platforms

Journal of Parallel and Distributed Computing, vol. 137, pp. 119-133, 2020. Q1 · T1

2019

Á. Martínez-Tenor, A. Cruz-Martín, J.A. Fernández-Madrigal

Teaching Machine Learning In Robotics Interactively: The Case Of Reinforcement Learning With Lego® Mindstorms

Interactive Learning Environments, vol. 37, no. 3, pp. 293-306, 2019. Q2 · T2

2018

Á. Martínez-Tenor, J.A. Fernández-Madrigal, A. Cruz-Martín, J. Gonzalez-Jimenez

Towards a Common Implementation of Reinforcement Learning for Multiple Robotic Tasks

Expert Systems With Applications, vol. 100, pp. 246-259, 2018. Q1 · T1

2017

Á. Martínez-Tenor, J.A. Fernández-Madrigal, A. Cruz-Martín, J. Gonzalez-Jimenez

Towards a Common Implementation of Reinforcement Learning for Multiple Robotic Tasks

arXiv.org, 2017, (preliminary version).

2006

C. Galindo, A. Cruz-Martín, J.L. Blanco, J.A. Fernández-Madrigal, J. Gonzalez-Jimenez

A Multi-Agent Control Architecture for a Robotic Wheelchair

Applied Bionics & Biomecanics, vol. 3, no. 3, pp. 179–189, 2006, ISSN: 0921-8890. Q4 · T3

Conferences (5)

2019

D.A. Constantinescu, Á. González-Navarro, F. Corbera, J.A. Fernández-Madrigal, R. Asenjo-Plaza

Solving Large-Scale Markov Decision Processes on Low-Power Heterogeneous Platforms

19th International Conference on Computational and Mathematical Methods in Science and Engineering, Universidad de Cádiz Costa Ballena, Cádiz (España), 2019.

2014

Á. Martínez-Tenor, J.A. Fernández-Madrigal, A. Cruz-Martín

Lego Mindstorms NXT and Q-learning: a teaching approach for robotics and engineering

7th International Conference of Education, Research and Innovation (ICERI, 2014), Seville (Spain), 2014.

2007

J.A. Fernández-Madrigal, C. Galindo, E. Cruz-Martín, A. Cruz-Martín, J. Gonzalez-Jimenez

Automatic Regulation of the Information Flow in the Control Loops of a Web Teleoperated Robot

IEEE International Conference on Robotics and Automation (ICRA'07), Rome (Italy), 2007.

C. Galindo, J.A. Fernández-Madrigal, J. Gonzalez-Jimenez

Towards the Automatic Learning of Reflex Modulation for Mobile Robot Navigation

pp. 347–356, Springer-Verlag, 2007, ISBN: 978-3-540-73055-2.

2005

C. Galindo, J. Gonzalez-Jimenez, J.A. Fernández-Madrigal

An Architecture for Close Human-Robot Interaction. Application to Rehabilitation Robotics

IEEE International Conference on Mechatronics and Automation (ICMA'2005), Ontario (Canada), 2005.

National conferences (2)

2021

D.A. Constantinescu, Á. González-Navarro, R. Asenjo-Plaza, J.A. Fernández-Madrigal, A. Cruz-Martín

Enhancing On-Line Planning Under Uncertainty via Bloom Filter Based Memory

Actas de las jornadas SARTECO 2021, Málaga (Spain), 2021.

2017

D.A. Constantinescu, Á. González-Navarro, J.A. Fernández-Madrigal, R. Asenjo-Plaza

Optimization of a decision-making algorithm for heterogeneous platforms

XXVIII Jornadas de Paralelismo (JP2017), Málaga (Spain), 2017.

PhD Theses (1)

2022

D.A. Constantinescu

Towards Energy Efficiency and Productivity for Decision Making in Mobile Robot Navigation

E.T.S.I. Industriales, 2022.

Master Theses (4)

2022

A.J. Pérez Bazuelo

Aprendizaje por refuerzo en remoto para la navegación de robots móviles

E.T.S.I. Industriales (Univ. de Málaga, Spain), 2022.

P. Pardo López

Aprendizaje por refuerzo para posicionamiento de objetos mediante un brazo manipulador

E.T.S.I. Industriales (Univ. de Málaga, Spain), 2022.

2021

R. de Santiago Fernández

Implementación en ROS del aprendizaje automático de la navegación reactiva de un robot móvil con retrasos en el proceso

E.T.S.I. Industriales, 2021.

2020

F.J. Naranjo Campos

Mejoras del aprendizaje por refuerzo tabular en el contexto de la navegación de robots móviles

E.T.S.I. Industriales, 2020.

Technical Reports (2)

2021

J.A. Fernández-Madrigal

Tabular True On-Line SARSA(lambda)

University of Malaga 2021.

2013

J.A. Fernández-Madrigal, A. Cruz-Martín

Some experiments on the integration of symbolic and sub-symbolic learning based on imagery and abstraction

Centre for Robotic and Neural and Systems, CRNS, University of Plymouth (UK) Systems // Engineering and Automation Dpt., University of Málaga (Spain) 2013.

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