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AnchorHEC: Targetless Hand-Eye Calibration of Wrist and Fixed Cameras

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Event synthesis

This paper introduces AnchorHEC, a targetless hand-eye calibration framework for wrist and fixed cameras that uses RGB images, forward kinematics, and a shared 3D foundation model. The method initializes both camera types using FK and a shared 3D reconstruction, applies FK-constrained bundle adjustment to reduce pose and scale errors, and relaxes constraints if refinement fails or inliers are insufficient. It then triangulates metric points to estimate fixed-camera poses. Across three backbones, simulation calibration errors decrease by 86.4% in translation and 71.6% in rotation relative to reconstruction-based baselines, with validation performed on a physical robot.

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11/3
  1. arXiv Robotics — research abstractsSignal
    AnchorHEC: Targetless Hand-Eye Calibration of Wrist and Fixed Cameras

    This paper introduces AnchorHEC, a targetless hand-eye calibration framework for wrist and fixed cameras that uses RGB images, forward kinematics, and a shared 3D foundation model. The method initializes both camera types using FK and a shared 3D reconstruction, applies FK-constrained bundle adjustment to reduce pose and scale errors, and relaxes constraints if refinement fails or inliers are insufficient. It then triangulates metric points to estimate fixed-camera poses. Across three backbones, simulation calibration errors decrease by 86.4% in translation and 71.6% in rotation relative to reconstruction-based baselines, with validation performed on a physical robot.

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