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MagServo: Uncertainty-Resilient Hierarchical Magnetic Servoing via Learned Latent Representations
Magnetic navigation provides contact-free and line-of-sight-independent feedback for robotic systems, yet existing approaches typically rely on explicit pose estimation or direct use of raw magnetic measurements, making accurate control susceptible to modeling errors, measurement noise, and disturba
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