Active Learning of Fractional-Order Viscoelastic Model Parameters for Realistic Haptic Rendering
Researchers developed a systematic method using active learning and human-in-the-loop optimization to find parameters for fractional-order viscoelastic models that maximize perceived realism in haptic rendering. They optimized parameters for individuals first, then aggregated these results into a population map to select broadly realistic settings. This approach improves the sim-to-real transition of medical training simulators.