用彩色光传感实现微型无摄像头触觉感知,精度高成本低。
SpectraTac: A Compact Camera-Free Optical Tactile Sensor with Distributed Color Sensing

- 通过分布式彩色传感器捕捉弹性体形变引起的光色变化
- 3D力预测误差小于0.43牛,接触区域识别准确率达99.9%
- 适合机器人、可穿戴设备等对体积和成本敏感的场景
触觉感知在机器人与人机系统中至关重要。然而,如何在硬件紧凑、成本低廉且计算开销小的前提下获取丰富触觉信息仍具挑战。本文提出SpectraTac,一种无摄像头的紧凑型光学触觉传感器,结合主动RGB照明与空间分布的彩色感知。接触使柔性透明弹性体变形,调制其内部光场,产生空间差异化的颜色与强度变化。三个分布式的彩色传感器捕捉这些响应,以低维时空谱特征代替相机与图像处理。该装置直径19.2毫米,高4毫米,材料成本低于5美元。基于数据驱动的解码框架可同时估计三维(3D)力与接触区域。3D力预测的平均绝对误差(MAEs)分别为:x轴0.161牛,y轴0.164牛,z轴0.429牛。九区域接触分类准确率达99.9%。进一步实测验证了实时3D力追踪及基于接触区域的人机交互控制任务。结果表明,分布式彩色光感为机器人、可穿戴传感与交互系统提供了一种紧凑、低成本的替代方案。
原文摘要 · Abstract (English)
Tactile sensing is essential for physical interaction in robotics and human--machine systems. However, combining rich tactile information with compact hardware, low cost, and low computational overhead remains challenging. This work presents SpectraTac, a compact, camera-free optical tactile sensor that combines active red--green--blue (RGB) illumination with spatially distributed color sensing. Contact deforms a compliant transparent elastomer and modulates its internal light field, producing spatially differentiated changes in color and intensity. Three distributed color sensors capture these responses as low-dimensional spatio-spectral features, avoiding cameras, imaging optics, and high-dimensional image processing. The device measures 19.2 mm in diameter and 4 mm in height, with a material cost below USD~5. A data-driven decoding framework simultaneously estimates three-dimensional (3D) force and the contact region from the optical measurements. For 3D force prediction, the sensor achieved mean absolute errors (MAEs) of 0.161, 0.164, and 0.429 N along the x-, y-, and z-axes, respectively. The nine-region contact-classification accuracy was 99.9%. We further evaluated real-time 3D force tracking and contact-region-based human--machine interaction through an interactive control task. These results indicate that distributed color-resolved optical sensing offers a compact, low-cost alternative to camera-based tactile sensing for robotics, wearable sensing, and interactive systems.
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