Vicente Ruiz de Angulo

According to our database1, Vicente Ruiz de Angulo authored at least 24 papers between 1991 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2015
Variable symmetry breaking in numerical constraint problems.
Artif. Intell., 2015

2012
Kinematic Bézier Maps.
IEEE Trans. Syst. Man Cybern. Part B, 2012

General Robot Kinematics Decomposition Without Intermediate Markers.
IEEE Trans. Neural Networks Learn. Syst., 2012

Rigid-CLL: Avoiding constant-distance computations in cell linked-lists algorithms.
J. Comput. Chem., 2012

2011
Symmetry Breaking in Numeric Constraint Problems.
Proceedings of the Principles and Practice of Constraint Programming - CP 2011, 2011

2009
Exploiting Single-Cycle Symmetries in Continuous Constraint Problems.
J. Artif. Intell. Res., 2009

Rapid learning of humanoid body schemas with Kinematic Bézier Maps.
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

2008
Learning Inverse Kinematics: Reduced Sampling Through Decomposition Into Virtual Robots.
IEEE Trans. Syst. Man Cybern. Part B, 2008

2007
Exploiting Single-Cycle Symmetries in Branch-and-Prune algorithms.
Proceedings of the Principles and Practice of Constraint Programming, 2007

2005
Speeding up the learning of robot kinematics through function decomposition.
IEEE Trans. Neural Networks, 2005

BioCD : An Efficient Algorithm for Self-collision and Distance Computation between Highly Articulated Molecular Models.
Proceedings of the Robotics: Science and Systems I, 2005

Using PSOMs to Learn Inverse Kinematics Through Virtual Decomposition of the Robot.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

A path planning approach for computing large-amplitude motions of flexible molecules.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

2004
Neural learning methods yielding functional invariance.
Theor. Comput. Sci., 2004

2002
A deterministic algorithm that emulates learning with random weights.
Neurocomputing, 2002

Sequential Learning in Feedforward Networks: Proactive and Retroactive Interference Minimization.
Proceedings of the Artificial Neural Networks, 2002

Learning Inverse Kinematics via Cross-Point Function Decomposition.
Proceedings of the Artificial Neural Networks, 2002

2001
Architecture-Independent Approximation of Functions.
Neural Comput., 2001

Neural Learning Invariant to Network Size Changes.
Proceedings of the Artificial Neural Networks, 2001

2000
A Framework to Deal with Interference in Connectionist Systems.
AI Commun., 2000

1997
Self-calibration of a space robot.
IEEE Trans. Neural Networks, 1997

1996
Automatic Recalibration of a Space Robot: An Industrial Prototype.
Proceedings of the Artificial Neural Networks, 1996

1995
On-line learning with minimal degradation in feedforward networks.
IEEE Trans. Neural Networks, 1995

1991
Minimally Disturbing Learning.
Proceedings of the Artificial Neural Networks, 1991


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