Vicente Ruiz de Angulo

About

Vicente Ruiz de Angulo is a leading researcher in robot kinematics and machine learning, whose work has fundamentally advanced how robots learn and adapt their own body schemas. His primary research areas include inverse kinematics learning, self-calibration, and kinematic decomposition for high-degree-of-freedom manipulators. Ruiz de Angulo's most impactful contributions center on developing efficient, neural-network-based methods that allow robots to automatically recalibrate after wear or damage—a critical capability for space and industrial robotics. His pioneering work on "Kinematic Bézier Maps" introduced a parameterizable model that dramatically reduces the number of training samples needed to learn complex robot kinematics, while his decomposition techniques break down high-dimensional problems into simpler virtual robots, accelerating learning without architectural constraints. With over 130 citations across his top papers, his research has been widely recognized for bridging neuroscience-inspired approaches with practical robotics applications. Notably, his 1997 paper on self-calibration of space robots demonstrated how neural networks can work atop existing controllers, a concept that remains influential in modern adaptive robotics. Ruiz de Angulo's work continues to shape how robots achieve precise, autonomous movement in unstructured environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Rapid learning of humanoid body schemas with Kinematic Bézier Maps

   25 citations · 2009
2. 2
   Learning Inverse Kinematics: Reduced Sampling Through Decomposition Into Virtual Robots

   25 citations · 2008
3. 3
   Self-calibration of a space robot

   23 citations · 1997
4. 4
   General Robot Kinematics Decomposition Without Intermediate Markers

   15 citations · 2012
5. 5
   Kinematic Bézier Maps

   12 citations · 2012
6. 6
   Using PSOMs to Learn Inverse Kinematics Through Virtual Decomposition of the Robot

   9 citations · 2005
7. 7
   Learning Inverse Kinematics via Cross-Point Function Decomposition

   8 citations · 2002
8. 8
   Reactive gait generation for varying speed and direction

   6 citations · 1998
9. 9
   Geometric methods in robotics

   6 citations · 2004
10. 10
    Automatic recalibration of a space robot: An industrial prototype

    3 citations · 1996

Key Collaborators

Contact & Links