2024
DOI: 10.1007/s00138-024-01572-w
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Continual learning approaches to hand–eye calibration in robots

Ozan Bahadir,
Jan Paul Siebert,
Gerardo Aragon-Camarasa

Abstract: This study addresses the problem of hand–eye calibration in robotic systems by developing Continual Learning (CL)-based approaches. Traditionally, robots require explicit models to transfer knowledge from camera observations to their hands or base. However, this poses limitations, as the hand–eye calibration parameters are typically valid only for the current camera configuration. We, therefore, propose a flexible and autonomous hand–eye calibration system that can adapt to changes in camera pose over time. Th… Show more

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