An iterative Lie-algebra optimization framework for hand-eye calibration uses a relative uncertainty metric to dynamically refine solutions and claims at least 67% better accuracy than prior methods under high uncertainty.
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Optimal Uncertainty-Aware Calibration for the AX=YB Problem
An iterative Lie-algebra optimization framework for hand-eye calibration uses a relative uncertainty metric to dynamically refine solutions and claims at least 67% better accuracy than prior methods under high uncertainty.