Raquel Fuentetaja
Associate professor
About Me
I am an Assistant Professor at Universidad Carlos III de Madrid, Spain. My main research interests are Automated Planning, Machine Learning, Decision Support Intelligent Systems and Robotics.
Short bio
I got my PhD in Computer Science from the Universidad Carlos III de Madrid in June 2010 and my BS in Computer Science from the Universidad Politécnica de Madrid in 2000. From 1998 to 2004, I worked in the Intelligent Systems Research Group (ISYS) at the Universidad Politénica de Madrid and in the Artificial Intelligence Group (GIA) at the Universidad Rey Juan Carlos. I belong the Planning and Learning research Group (PLG) at Universidad Carlos III de Madrid since 2004. She has participated in 26 research projects, 3 of them funded by the European Union, 16 funded by the Spanish Research Council, and 7 private projects. Some of the application areas of these projects include traffic management, tourism, recommendation systems, decision support in emergencies, sensor planning in the context of the ESA SSA programme and deliberative robotics.
Publications
2025
Mauricio Salerno, Raquel Fuentetaja, David Speck and Jendrik Seipp.
Merging Cartesian Abstractions for Classical Planning.
In Proceedings of the 28th European Conference on Artificial Intelligence (ECAI 2025). 2025.
paper code citationMauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
Finding Minimal Plan Reductions Using Classical Planning.
Journal of Artificial Intelligence Research . 2025.
paper code citationEnrique Mateos-Melero, Miguel Iglesias Alcázar, Raquel Fuentetaja and Fernando Fernández.
Dataset Reduction for Offline Reinforcement Learning using Genetic Algorithms with Image-Based Heuristics.
In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 416–424. 2025.
paper citationMauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
Finding Minimal Plan Reductions Using Classical Planning.
Journal of Artificial Intelligence Research 84. 2025.
citationAlba Gragera, Raquel Fuentetaja, Angel García-Olaya and Fernando Fernández.
On the Gains from Using Action Observations in Domain Repair.
In Proceedings of the Thirty-Fifth International Conference on Automated Planning and Scheduling (ICAPS 2025), pp. 343 – 347. 2025.
citation
2024
Enrique Mateos-Melero, Miguel Iglesias Alcázar, Raquel Fuentetaja, Peter Stone and Fernando Fernández.
Image-based Dataset Representations for Predicting Learning Performance in Offline RL.
In . 2024.
paper citationJose Carlos Pulido, Raquel Fuentetaja, Enrique García, Melania García, Vanesa Abuín, Jose Carlos González, Ana Iglesias and Fernando Fernández.
A gamified social robotics platform for intensive therapies in neurorehabilitation.
Intelligent Service Robotics 17, pp. 419 – 443. 2024.
paper citation
2023
Mauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
Eliminating Redundant Actions from Plans using Classical Planning.
In Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), pp. 774–778. 2023.
paper code citationMauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
Spock: Fast Downward Stone Soup with Redundant Action Elimination.
In Tenth International Planning Competition (IPC-10): Planner Abstracts. 2023.
paper citationMauricio Salerno, Raquel Fuentetaja and Jendrik Seipp.
Eliminating Redundant Actions from Plans Using Classical Planning.
In Proceedings of the Twentieth International Conference on Principles of Knowledge Representation and Reasoning, pp. 774–778. 2023.
paper citationAlba Gragera, Raquel Fuentetaja, Angel García-Olaya and Fernando Fernández.
A Planning Approach to Repair Domains with Incomplete Action Effects.
In Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling (ICAPS 2023), pp. 153 – 161. 2023.
citationLuis Santiago Martín, Mónica Alonso, Hortensia Amarís, Raquel Fuentetaja, Beatriz Lopez, David Martin and Jose Antonio Iglesias.
Electric Ambulance Routing Based on Heuristic Cost-Based Planners in Pandemic Situations.
Smart Innovation, Systems and Technologies 351, pp. 395 – 406. 2023.
citation
2022
Mauricio Salerno and Raquel Fuentetaja.
Elimination of Unnecessary Actions from Plans Using Automated Planning.
, pp. 8. 2022.
citationMauricio Salerno, Miguel Tabernero, Raquel Fuentetaja and Alberto Pozanco.
Filtering Top-k Relevant Plans.
, pp. 17. 2022.
citation
2021
Mauricio Salerno, Yolanda E-Martín, Raquel Fuentetaja, Alba Gragera, Alberto Pozanco and Daniel Borrajo.
Train Route Planning as a Multi-Agent Path Finding Problem.
In Conference of the Spanish Association for Artificial Intelligence, pp. 237–246. 2021.
paper citationAna Iglesias, Javier García, Angel García-Olaya, Raquel Fuentetaja, Fernando Fernández, Adrian Romero-Garces, Rebeca Marfil, Antonio Bandera, Karine Lan Hing Ting, Dimitri Voilmy, Alvaro Duenas and Cristina Suarez-Mejias.
Extending the Evaluation of Social Assistive Robots with Accessibility Indicators: The AUSUS Evaluation Framework.
IEEE Transactions on Human-Machine Systems 51, pp. 601 – 612. 2021.
citation
2020
Raquel Fuentetaja, Angel García-Olaya, Javier García, Jose Carlos González and Fernando Fernández.
An automated planning model for hri: Use cases on social assistive robotics.
Sensors 20, pp. 1 – 19. 2020.
citationGrace Bang, Guy Barash, Ryan Bea, Jacques Cali, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Michel Galley, Christopher Geib, José Hernández-Orallo, Xiaowei Huang, Sarah Keren, Seokhwan Kim, Kokil Jaidka, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó. Héigeartaigh, Deepak Ramachandran, Javier Segovia-Aguas, Arash Shaban-Nejad, Onn Shehory, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Dell Zhang and Jian Zhang.
The association for the advancement of artificial intelligence 2020 workshop program.
AI Magazine 41, pp. 100 – 114. 2020.
citation
2019
Angel García-Olaya, Raquel Fuentetaja, Javier García, Jose Carlos González and Fernando Fernández.
Challenges on the Application of Automated Planning for Comprehensive Geriatric Assessment Using an Autonomous Social Robot.
Advances in Intelligent Systems and Computing 855, pp. 179 – 194. 2019.
citationBlai Bonet, Raquel Fuentetaja, Yolanda E-Martín and Daniel Borrajo.
Guarantees for sound abstractions for generalized planning.
In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp. 1566 – 1573. 2019.
paper citation
2018
Dimitri Voilmy, Cristina Suárez, Adrian Romero-Garcés, Cristian Reuther, Jose Carlos Pulido, Rebeca Marfil, Luis J. Manso, Karine Lan Hing Ting, Ana Iglesias, Jose Carlos González, Javier García, Angel García-Olaya, Raquel Fuentetaja, Fernando Fernández, Alvaro Dueñas, Luis Vicente Calderita, Pablo Bustos, T. Barile, Juan Pedro Bandera and Antonio Bandera.
CLARC: A cognitive robot for helping geriatric doctors in real scenarios.
Advances in Intelligent Systems and Computing 693, pp. 403 – 414. 2018.
citationEnrique García Estévez, Irene Díaz Portales, Jose Carlos Pulido, Raquel Fuentetaja and Fernando Fernández.
Enhancing a robotic rehabilitation model for hand-arm bimanual intensive therapy.
Advances in Intelligent Systems and Computing 693, pp. 379 – 390. 2018.
citationRaquel Fuentetaja, Michael Barley, Daniel Borrajo, Jordan Douglas, Santiago Franco and Patricia Riddle.
Meta-search through the space of representations and heuristics on a problem by problem basis.
In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), pp. 6169 – 6176. 2018.
citationRaquel Fuentetaja, Daniel Borrajo and Tomás De La Rosa.
Anticipation of goals in automated planning.
AI Communications 31, pp. 117 – 135. 2018.
citation
2017
Tomas De La Rosa, Raquel Fuentetaja, Daniel Borrajo and Carlos Linares Lopez.
Sensor planning system for the space situational awareness (SSA) project.
In Proceedings - 6th IEEE International Conference on Space Mission Challenges for Information Technology, SMC-IT 2017, pp. 107 – 113. 2017.
citationTomás de la Rosa and Raquel Fuentetaja.
Bagging strategies for learning planning policies.
Annals of Mathematics and Artificial Intelligence 79, pp. 291 – 305. 2017.
citation
2016
Raquel Fuentetaja and Tomas De La Rosa.
Compiling irrelevant objects to counters. Special case of creation planning.
AI Communications 29, pp. 435 – 467. 2016.
citation
2015
Raquel Fuentetaja, Lukáš Chrpa, Thomas L McCluskey and Mauro Vallati.
Exploring the synergy between two modular learning techniques for automated planning.
In Proceedings of the 8th Annual Symposium on Combinatorial Search, SoCS 2015, pp. 35 – 43. 2015.
citation
2014
Alberto Garbajosa, Tomás De La Rosa and Raquel Fuentetaja.
Planning with ensembles of classifiers.
Frontiers in Artificial Intelligence and Applications 263, pp. 1007 – 1008. 2014.
citation
2013
Vidal Alcázar, Daniel Borrajo, Susana Fernández and Raquel Fuentetaja.
Revisiting regression in planning.
In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 2254 – 2260. 2013.
citationRaquel Fuentetaja, Daniel Borrajo, Carlos Linares López and Jorge Ocón.
Multi-step Generation of Bayesian Networks Models for Software Projects Estimations.
International Journal of Computational Intelligence Systems 6, pp. 796 – 821. 2013.
paper citation
2012
Raquel Fuentetaja and Tomás De La Rosa.
A planning-based approach for generating planning problems.
In Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2012), pp. 30 – 36. 2012.
citation
2011
Tomas De La Rosa and Raquel Fuentetaja.
On the importance of breaking ties in the relaxed plan heuristic.
Journal of Experimental and Theoretical Artificial Intelligence 23, pp. 233 – 254. 2011.
citationTomás De La Rosa, Sergio Jiménez, Raquel Fuentetaja and Daniel Borrajo.
Scaling up heuristic planning with relational decision trees.
Journal of Artificial Intelligence Research 40, pp. 767 – 813. 2011.
citation
2010
Raquel Fuentetaja, Daniel Borrajo and Carlos Linares López.
A look-ahead B&B search for cost-based planning.
Lecture Notes in Computer Science 5988 LNAI, pp. 201 – 211. 2010.
citation
2008
Raquel Fuentetaja, Daniel Borrajo and Carlos Linares López.
A new approach to heuristic estimations for cost-based planning.
In Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21, pp. 543 – 548. 2008.
citation
2007
Susana Fernández, Daniel Borrajo, Raquel Fuentetaja, Juan D. Arias and Manuela Veloso.
PLTOOL: A knowledge engineering tool for planning and learning.
The Knowledge Engineering Review 22, pp. 153 – 184. 2007.
citation
2006
Raquel Fuentetaja, Daniel Borrajo and Carlos Linares López.
Improving relaxed planning graph heuristics for metric optimization.
In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 2006), pp. 79 – 86. 2006.
citationTomás De La Rosa and Raquel Fuentetaja.
Integrating actions preconditions difficulty within the relaxed plan heuristic measure.
In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 2006), pp. 87 – 90. 2006.
citationRaquel Fuentetaja and Daniel Borrajo.
Some active learning schemes to acquire control knowledge for planning.
In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 2006), pp. 93 – 100. 2006.
citation
2005
Martin Molina, Raquel Fuentetaja and Luis Garrote.
Hydrologic models for emergency decision support using Bayesian networks.
Lecture Notes in Computer Science 3571 LNAI, pp. 88 – 99. 2005.
citation