Publications

• P. Mestres and V. Ruiz de Angulo. Constraint symmetries. Technical Report IRI-TR-17-05, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, 2017.

  Abstract Info PDF

• G. Alexandre, J. Cristophe, V. Ruiz de Angulo and C. Torras. Variable symmetry breaking in numerical constraint problems. Artificial Intelligence, 229: 105-125, 2015.

  Abstract Info PDF

• S. Ulbrich, V. Ruiz de Angulo, C. Torras, T. Asfour and R. Dillman. Kinematic Bézier maps. IEEE Transactions on Systems, Man and Cybernetics: Part B, 42(4): 1215-1230, 2012.

  Abstract Info PDF

• S. Ulbrich, V. Ruiz de Angulo, T. Asfour, C. Torras and R. Dillman. General robot kinematics decomposition without intermediate markers. IEEE Transactions on Neural Networks, 23(4): 620-630, 2012.

  Abstract Info PDF

• V. Ruiz de Angulo, J. Cortés and J.M. Porta. Rigid-CLL: Avoiding constant-distance computations in cell linked-lists algorithms. Journal of Computational Chemistry, 33(3): 294-300, 2012.

  Abstract Info PDF

• V. Ruiz de Angulo. Monte Carlo simulations with few DOF’s in large molecules. Technical Report IRI-TR-11-03, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, 2011.

  Abstract Info PDF

• A. Goldsztejn, C. Jermann, V. Ruiz de Angulo and C. Torras. Symmetry breaking in numeric constraint problems, 17th International Conference on Principles and Practice of Constraint Programming, 2011, Perugia, Italy, in Principles and Practice of Constraint Programming, Vol 6876 of Lecture Notes in Computer Science, pp. 317-324, 2011, Springer.

  Abstract Info PDF

• S. Ulbrich, V. Ruiz de Angulo, T. Asfour, C. Torras and R. Dillman. Rapid learning of humanoid body schemas with kinematic Bezier maps, 9th IEEE-RAS International Conference on Humanoid Robots, 2009, Paris, pp. 431-438, Unknown.

  Abstract Info PDF

• V. Ruiz de Angulo and C. Torras. Exploiting single-cycle symmetries in continuous constraint problems. Journal of Artificial Intelligence Research, 34: 499-520, 2009.

  Abstract Info PDF

• V. Ruiz de Angulo and C. Torras. Learning inverse kinematics: Reduced sampling through decomposition into virtual robots. IEEE Transactions on Systems, Man and Cybernetics: Part B, 38(6): 1571-1577, 2008.

  Abstract Info PDF