Carlos Cajal

Papers

Total Citations

100

H-Index

About

Carlos Cajal is a leading figure in precision metrology, specializing in the calibration and integration of laser triangulation sensors for advanced manufacturing and robotic systems. His primary research focuses on enhancing the accuracy of articulated arm coordinate measuring machines (AACMMs) and robot arms through innovative sensor modeling and kinematic identification techniques. Cajal’s major contributions include developing novel calibration methods that address both intrinsic and extrinsic sensor parameters, enabling seamless integration of laser triangulation sensors into complex measurement systems. His most cited work, “Modelling and Calibration Technique of Laser Triangulation Sensors for Integration in Robot Arms and Articulated Arm Coordinate Measuring Machines” (2009, 55 citations), introduced a groundbreaking approach to AACMM kinematic parameter identification using a single calibration artifact. Building on this, his 2010 paper on a crenellated-target-based method (45 citations) further refined sensor integration, improving measurement reliability in industrial environments. With over 100 combined citations, Cajal’s work has significantly impacted the fields of dimensional metrology and robotics, providing practical solutions for high-precision 3D measurement. His achievements are recognized for bridging theoretical modeling with real-world applications, making him a key contributor to the advancement of automated inspection systems.