JOURNAL ARTICLE

Bioinspired active whisker sensor for robotic vibrissal tactile sensing

Feng JuShih‐Fu Ling

Year: 2014 Journal:   Smart Materials and Structures Vol: 23 (12)Pages: 125003-125003   Publisher: IOP Publishing

Abstract

A whisker transducer (WT) inspired by rat's vibrissal tactile perception is proposed based on a transduction matrix model characterizing the electro-mechanical transduction process in both forward and backward directions. It is capable of acting as an actuator to sweep the whisker and simultaneously as a sensor to sense the force, motion, and mechanical impedance at whisker tip. Its validity is confirmed by numerical simulation using a finite element model. A prototype is then fabricated and its transduction matrix is determined by parameter identification. The calibrated WT can accurately sense mechanical impedance which is directly related to stiffness, mass and damping. Subsequent vibrissal tactile sensing of sandpaper texture reveals that the real part of mechanical impedance sensed by WT is correlated with sandpaper roughness. Texture discrimination is successfully achieved by inputting the real part to a k-means clustering algorithm. The mechanical impedance sensing ability as well as other features of the WT such as simultaneous-actuation-and-sensing makes it a good solution to robotic tactile sensing.

Keywords:
Sandpaper Actuator Whisker Mechanical impedance Tactile sensor Stiffness Transduction (biophysics) Electrical impedance Transducer Acoustics Texture (cosmology) Materials science Finite element method Tactile perception Artificial intelligence Robot Computer science Engineering Perception Structural engineering Electrical engineering Composite material Physics

Metrics

28
Cited By
1.28
FWCI (Field Weighted Citation Impact)
28
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Neuroscience and Neural Engineering
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience

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