触觉传感器
校准
机器人
计算机科学
线性
带宽(计算)
声学
电子工程
工程类
人工智能
物理
计算机网络
量子力学
作者
Hongbo Wang,Gregory de Boer,Junwai Kow,Ali Alazmani,Mazdak Ghajari,Robert Hewson,Peter Culmer
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2016-08-24
卷期号:16 (9): 1356-1356
被引量:126
摘要
Tactile sensors are essential if robots are to safely interact with the external world and to dexterously manipulate objects. Current tactile sensors have limitations restricting their use, notably being too fragile or having limited performance. Magnetic field-based soft tactile sensors offer a potential improvement, being durable, low cost, accurate and high bandwidth, but they are relatively undeveloped because of the complexities involved in design and calibration. This paper presents a general design methodology for magnetic field-based three-axis soft tactile sensors, enabling researchers to easily develop specific tactile sensors for a variety of applications. All aspects (design, fabrication, calibration and evaluation) of the development of tri-axis soft tactile sensors are presented and discussed. A moving least square approach is used to decouple and convert the magnetic field signal to force output to eliminate non-linearity and cross-talk effects. A case study of a tactile sensor prototype, MagOne, was developed. This achieved a resolution of 1.42 mN in normal force measurement (0.71 mN in shear force), good output repeatability and has a maximum hysteresis error of 3.4%. These results outperform comparable sensors reported previously, highlighting the efficacy of our methodology for sensor design.
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