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Hydra method achieves marker-free hand-eye calibration with improved accuracy

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new marker-free hand-eye calibration method called Hydra, which utilizes RGB-D imaging and a novel iterative closest point (ICP) algorithm. This approach formulates a robust point-to-plane objective on a Lie algebra, achieving approximately 90% successful calibrations with significantly higher convergence rates and faster convergence times compared to existing methods. Hydra demonstrates improved accuracy, with an error of 5 mm in task space compared to 7 mm for classical approaches, and its associated code and dataset are open-sourced. AI

IMPACT This new calibration method could improve the precision and efficiency of robotic systems in various applications.

RANK_REASON The item is a research paper detailing a new algorithm and its experimental validation. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

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Hydra method achieves marker-free hand-eye calibration with improved accuracy

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The item is a research paper detailing a new algorithm and its experimental validation. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Martin Huber, Huanyu Tian, Christopher E. Mower, Lucas-Raphael M\"uller, S\'ebastien Ourselin, Christos Bergeles, Tom Vercauteren ·

    Hydra: Marker-Free RGB-D Hand-Eye Calibration

    arXiv:2504.20584v2 Announce Type: replace-cross Abstract: This work presents an RGB-D imaging-based approach to marker-free hand-eye calibration using a novel implementation of the iterative closest point (ICP) algorithm with a robust point-to-plane (PTP) objective formulated on …

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