用金属超声波导实现多点触觉感知，可同时定位、测力、判材。
Metallic Ultrasound Waveguides as a Distributed Tactile Sensing Platform for Contact Localization, Force Estimation, and Material Class Discrimination
- 仅用一个近端换能器，通过波导中反射与透射系数比值估力。
- 单点压实时力与反射/透射比呈线性关系（R²≥0.95），九种材料均有效。
- 反射能量占比不随力变化，可用于材料分类，适合机器人触觉系统。
触觉感知是机器人与现实世界交互的核心，但现有方案在感知面积与系统复杂度间存在权衡。本文研究以金属超声波导作为分布式触觉传感器，仅需单一近端换能器即可全范围探测。采用圆柱形压头，对单点与多点接触、不同力和接触材料的声学响应进行了表征。单点压痕时，施加力与反射系数与透射系数之比（F = a * R/T）呈良好线性关系，覆盖全部九种材料（R² ≥ 0.95）。校准斜率a与材料等效接触模量呈强相关性（对数-对数皮尔逊相关系数r = -0.98）。反射能量分配被发现为负载无关参数，与材料特性相关，从而实现无需依赖力的材料分类。双压头实验中，两处接触力均从波导信号中准确恢复，与参考负载细胞测量高度一致（接触1：R²=0.97；接触2：R²=0.95）。该方法扩展至二维金属板后，证实了接触定位与材料依赖效应。总体结果验证了金属波导作为分布式触觉传感平台的鲁棒性，可实现接触定位、力估计与接触体材料判别。
原文摘要 · Abstract (English)
Tactile sensing is central to how robotic systems interact with the real world, yet current solutions face a tradeoff between sensing area and system complexity. This work investigates metallic ultrasound waveguides as distributed tactile sensors fully interrogated from a single proximal transducer. Using cylindrical indenters, we characterized the acoustic response to single and multi-point contacts with varying forces and contact materials. For single point indentation, the applied force was well captured by a linear relationship with the ratio of the reflection to transmission coefficients (F = a * R/T) across all nine tested materials (R2 >= 0.95). The calibration slope, a, correlated strongly with the material's effective contact modulus (log--log Pearson r=-0.98). The reflected energy partition was found to be a load-independent parameter related to the contacting material's properties, enabling material classification independent of force. For the two-indenter experiment, both contact forces were recovered from the waveguide signal and were in close agreement with reference load cell measurements (contact 1, R2 = 0.97; contact 2, R2=0.95). The approach was extended to two-dimensional metallic sheets, confirming both contact localization and material-dependent effects. Overall, these results validate metallic waveguides as a robust platform for distributed tactile sensing, providing contact localization, force estimation, and material-class discrimination for the contacting body.
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