Papers
25
Total Citations
1,333
H-Index
19
About
Ahmed Joubair is a prominent robotics researcher whose work centers on robot calibration, precision measurement, and accuracy enhancement for industrial robotic systems. Over the course of his career, he has made foundational contributions to both kinematic and elasto-geometrical calibration methodologies, developing sophisticated techniques that significantly improve the absolute accuracy of serial and parallel robots in real-world manufacturing environments. Joubair's most influential work, cited nearly 150 times, introduced a comprehensive 30-parameter calibration model combining full kinematic analysis with joint compliance parameters, benchmarking optical CMM and laser tracker approaches. His subsequent research expanded calibration frontiers by exploiting geometric constraints — distance, sphere, and planar — to enable more practical, flexible calibration procedures without requiring specialized metrology equipment at every step. His portfolio also reflects a strong commitment to real-time accuracy improvement: his dynamic path tracking and online pose correction frameworks leverage photogrammetry and optical coordinate systems as feedback mechanisms, bridging the gap between theoretical calibration and live industrial deployment. With over 850 cumulative citations across his top publications, Joubair's research has demonstrably shaped how engineers approach robot accuracy in precision manufacturing, aerospace, and automated assembly contexts, establishing him as a key figure in applied robotics metrology.
Research Focus
Key Achievements
Top Papers
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- 3Robot calibration using a portable photogrammetry system115 citations · 2017
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- 5Non-kinematic calibration of a six-axis serial robot using planar constraints105 citations · 2014
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