English(EN) Active Learning of Fractional-Order Viscoelastic Model Parameters for Realistic Haptic Rendering

新方法利用人类反馈优化触觉渲染模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-16 04:00

研究人员开发了一种新的方法来优化分数阶粘弹性模型，这对于医疗模拟器中的真实触觉渲染至关重要。所提出的方法使用具有人类反馈的主动学习来确定增强感知真实感的模型参数。该技术允许创建被广泛认为逼真的人口水平最优参数，从而有可能提高医疗培训模拟器的性能。 AI

排序理由该集群包含一篇研究论文，详细介绍了用于触觉渲染的粘弹性模型优化新方法。[lever_c_demoted from research: ic=1 ai=0.4]

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Newsworthiness bucket: Tool; 该集群包含一篇研究论文，详细介绍了用于触觉渲染的粘弹性模型优化新方法。[lever_c_demoted from research: ic=1 ai=0.4]
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arXiv cs.AI TIER_1 English(EN) · Harun Tolasa, Gorkem Gemalmaz, Volkan Patoglu · 2026-10-16 04:00

用于真实触觉渲染的分数阶粘弹性模型参数的主动学习

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…