Jorge Santolaria
Papers
22
Total Citations
866
H-Index
15
About
Jorge Santolaria is a leading figure in precision metrology and robot kinematics, whose work has fundamentally advanced the accuracy of industrial measurement systems. His research centers on the kinematic calibration and error modeling of articulated arm coordinate measuring machines (AACMMs) and industrial robots, with a particular focus on integrating non-contact sensors like laser triangulation for high-precision 3D inspection. His seminal 2007 paper on kinematic parameter estimation for AACMMs, with 148 citations, established a cornerstone technique for improving measurement repeatability. He has made major contributions to uncertainty estimation in robot calibration (100 citations) and developed novel methods for integrating laser sensors into robotic arms, enabling the inspection of complex geometry parts. His work on thermal error modeling (61 citations) and self-centering active probing (49 citations) further demonstrates his comprehensive approach to solving real-world measurement challenges. With over 700 total citations across his most influential works, Santolaria’s research has been instrumental in bridging the gap between theoretical kinematic models and practical, high-accuracy industrial metrology.
Research Focus
Key Achievements
Top Papers
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- 2Uncertainty estimation in robot kinematic calibration100 citations · 2012
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