论文标题
解密的接触互动和探索策略的触觉感知材料柔软度
Deciphering Contact Interactions and Exploration Strategies Underlying Tactile Perception of Material Softness
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
Our sense of touch is essential and permeates in interactions involving natural explorations and affective communications. For instance, we routinely judge the ripeness of fruit at the grocery store, caress the arm of a spouse to offer comfort, and stroke textiles to gauge their softness. Meanwhile, interactive displays that provide tactile feedback are becoming normal and ubiquitous in our daily lives, and are extending rich and immersive interactions into augmented and virtual reality. To replicate touch sensation and make virtual objects feel tangible, such feedback will need to relay a sense of compliance, or softness, one of the key dimensions underlying haptic perception. As our understanding of softness perception remains incomplete, this study seeks to understand exploratory strategies and perceptual cues that may optimally encode material softness. Specifically, we employ methods of computational finite element modeling, biomechanical experimentation, psychophysical evaluation, and data-driven analysis. Overall, this work may aid in engineering the next-generation wearable haptic displays, which must be more tangible, compatible, and perceptually naturalistic.
