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New method optimizes haptic rendering models using human feedback

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method for optimizing fractional-order viscoelastic models, which are crucial for realistic haptic rendering in medical simulators. The proposed approach uses active learning with human feedback to determine model parameters that enhance perceived realism. This technique allows for the creation of population-level optimal parameters that are broadly perceived as realistic, potentially improving the performance of medical training simulators. AI

RANK_REASON The cluster contains a research paper detailing a new method for optimizing viscoelastic models for haptic rendering. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New method optimizes haptic rendering models using human feedback

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The cluster contains a research paper detailing a new method for optimizing viscoelastic models for haptic rendering. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Harun Tolasa, Gorkem Gemalmaz, Volkan Patoglu ·

    Active Learning of Fractional-Order Viscoelastic Model Parameters for Realistic Haptic Rendering

    arXiv:2512.00667v2 Announce Type: cross Abstract: Effective medical simulators necessitate realistic haptic rendering of biological tissues that exhibit viscoelastic material properties, such as creep and stress relaxation. Fractional-order models provide an effective means of de…

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