低成本仿生触觉传感器,可同时感知力与温度。
Bio-Skin: A Cost-Effective Thermostatic Tactile Sensor with Multi-Modal Force and Temperature Detection
- 用霍尔传感器测法向力,压阻条测剪切力,热敏电阻+加热丝实现温感与控温。
- 成本仅为商用产品十分之一,性能指标相当,采样率与量程达标。
- 适合机器人手部触觉升级,尤其关注成本与多模态感知的团队。
触觉传感器能显著提升人形机器人对接触信息的感知能力,促进类人交互。然而,现有商用传感器多聚焦于单一模态的高分辨率与高灵敏度,依赖高成本元件与密集集成设计,导致制造复杂且价格昂贵。本文提出 Bio-Skin,一种低成本多模态触觉传感器:采用单轴霍尔效应传感器实现平面法向力测量,利用棒状压阻器实现二维剪切力测量;在硅胶体中集成热敏电阻与加热丝,实现温度感知与恒温功能,模拟人体皮肤特性。我们还提出交叉参考框架,验证两种力信号的一致性,提升复杂电磁环境下的传感保真度。传感器采用分层结构,逐层制造并集成,具备快速生产潜力。校准后,其信噪比、采样率和测量范围等性能指标与现有商用产品相当,成本降低至十分之一。在 Allegro 手上进行物体抓取任务测试其实际表现,材料检测任务验证了温控功能。
原文摘要 · Abstract (English)
Tactile sensors can significantly enhance the perception of humanoid robotics systems by providing contact information that facilitates human-like interactions. However, existing commercial tactile sensors focus on improving the resolution and sensitivity of single-modal detection with high-cost components and densely integrated design, incurring complex manufacturing processes and unaffordable prices. In this work, we present Bio-Skin, a cost-effective multi-modal tactile sensor that utilizes single-axis Hall-effect sensors for planar normal force measurement and bar-shape piezo resistors for 2D shear force measurement. A thermistor coupling with a heating wire is integrated into a silicone body to achieve temperature sensation and thermostatic function analogous to human skin. We also present a cross-reference framework to validate the two modalities of the force sensing signal, improving the sensing fidelity in a complex electromagnetic environment. Bio-Skin has a multi-layer design, and each layer is manufactured sequentially and subsequently integrated, thereby offering a fast production pathway. After calibration, Bio-Skin demonstrates performance metrics-including signal-to-range ratio, sampling rate, and measurement range-comparable to current commercial products, with one-tenth of the cost. The sensor's real-world performance is evaluated using an Allegro hand in object grasping tasks, while its temperature regulation functionality was assessed in a material detection task.
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