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Author

Zaid Alhgam

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Conference Jul 2026

Implementing AI models to correct static positioning and setup errors in an accurate industrial robot

This study presents a data-driven approach to improve the absolute positional accuracy of a MABI MAX-100-2.25-P industrial robot. To quantify positioning errors, the robot was programmed to move through a dense grid of points with spacing of 25 mm in two planes above and across a working table. A training dataset was a...

Zaid Alhgam, Flavin Lee John, Christopher Burkinshaw et al. · 0 citations

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