JOURNAL ARTICLE

The perceptually-inspired model of tactile texture sensor based on the inverse-magnetostrictive effect

Lili WanBowen WangXiaodong WangWenmei HuangLing Weng

Year: 2018 Journal:   Industrial Robot the international journal of robotics research and application Vol: 46 (3)Pages: 345-350   Publisher: Emerald Publishing Limited

Abstract

Purpose The purpose of this study is to develop an output model to extract surface microstructure characteristics of different objects, so as to predict the response of the output voltage obtained from tactile texture sensor. Design/methodology/approach The model is based on the consideration of the inverse-magnetostrictive effect, the flexure mode, the linear constitutive equations and the strain principle. Findings This research predicts and investigates the effect of the texture properties on the tactile texture sensor output characteristics. Originality/value The surface texture characteristic is regarded to be important information to evaluate and recognize the object.

Keywords:
Texture (cosmology) Magnetostriction Inverse Tactile sensor Computer science Artificial intelligence Computer vision Acoustics Mathematics Image (mathematics) Physics Geometry Magnetic field

Metrics

2
Cited By
0.12
FWCI (Field Weighted Citation Impact)
16
Refs
0.45
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Surface Roughness and Optical Measurements
Physical Sciences →  Engineering →  Computational Mechanics
© 2026 ScienceGate Book Chapters — All rights reserved.