Renato Alquézar Mancho

Profesor Titular de Universidad


Subline:

Mobile Robotics and Intelligent Systems


E-mail ralqueza (at) iri.upc.edu

Phone 93 4010775

  • Current
  • Archive

Publications

  • D. Escudero and R. Alquézar Mancho. Study of the anchoring problem in generalist robots based on ROSPlan, 19th Catalan Conference on Artificial Intelligence, 2016, Barcelona, in Artificial Intelligence Research and Development, Vol 288 of Frontiers in Artificial Intelligence and Applications, pp. 45-50, 2016, IOS Press.

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  • A. Goldhoorn, A. Garrell Zulueta, R. Alquézar Mancho and A. Sanfeliu. Un nuevo método cooperativo para encontrar personas en un entorno urbano con robots móviles, XXXVII Jornadas de Automática, 2016, Madrid, pp. 206-213.

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  • G. Sanromà, A. Penate-Sanchez, R. Alquézar Mancho, F. Serratosa, F. Moreno-Noguer, J. Andrade-Cetto and M.A. González. MSClique: Multiple structure discovery through the maximum weighted clique problem. PLOS One, 11(1): e0145846, 2016.

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  • C. König, M.I. Cárdenas, J. Giraldo, R. Alquézar Mancho and A. Vellido. Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors. BMC Bioinformatics, 16(314): 1-14, 2015.

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  • D. Escudero and R. Alquézar Mancho. Distance-based kernels for dynamical movement primitives, 18th Catalan Conference on Artificial Intelligence, 2015, Valencia, in Artificial Intelligence Research and Development, Vol 277 of Frontiers in Artificial Intelligence and Applications, pp. 133-142, 2015, IOS Press.

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  • P. Omedas, A. Betella, R. Zucca, Xerxes D. Arsiwalla, D. Pacheco, J. Wagner, F. Lingenfelser, E. Andre, D. Mazzei, A. Lanatá, D. de Rossi, A. Grau, A. Goldhoorn, E. Guerra, R. Alquézar Mancho, A. Sanfeliu and Paul F.M.J. Verschure. XIM-Engine: a software framework to support the development of interactive applications that uses conscious and unconscious reactions in immersive mix, 2014 Virtual Reality International Conference, 2014, Laval, France, pp. 26:1-4, ACM New York, NY, USA.

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  • A. Goldhoorn, A. Garrell Zulueta, R. Alquézar Mancho and A. Sanfeliu. Continuous real time POMCP to find-and-follow people by a humanoid service robot, 2014 IEEE-RAS International Conference on Humanoid Robots, 2014, Madrid, Spain, pp. 741-747, IEEE Press.

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  • A. Goldhoorn, A. Sanfeliu and R. Alquézar Mancho. Analysis of methods for playing human robot hide-and-seek in a simple real world urban environment, 1st Iberian Robotics Conference, 2013, Madrid, in Robot 2013: First Iberian Robotics Conference, Vol 252-3 of Advances in Intelligent Systems and Computing, pp. 505-520, 2014, Springer.

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  • A. Goldhoorn, A. Sanfeliu and R. Alquézar Mancho. Comparison of MOMDP and heuristic methods to play hide-and-seek, 16th Catalan Conference on Artificial Intelligence, 2013, Vic, Spain, in Artificial Intelligence Research and Development, Vol 256 of Frontiers in Artificial Intelligence and Applications, pp. 31-40, 2013, IOS Press.

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  • J. Petchamé, M.A. Nebot and R. Alquézar Mancho. Quantitative and qualitative approaches for stock movement prediction, 15th Catalan Conference on Artificial Intelligence, 2012, Alacant, in Artificial Intelligence Research and Development, Vol 248 of Frontiers in Artificial Intelligence and Applications, pp. 233-242, 2012, IOS Press.

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PhD Theses as supervisor