Next Article in Journal
Use of Human Senses as Sensors
Next Article in Special Issue
Optical and Electronic NOx Sensors for Applications in Mechatronics
Previous Article in Journal
Measurement Uncertainty Estimation of a Robust Photometer Circuit
Previous Article in Special Issue
Overview of Electrochemical DNA Biosensors: New Approaches to Detect the Expression of Life
Article Menu

Export Article

Open AccessArticle
Sensors 2009, 9(5), 3161-3183; doi:10.3390/s90503161

Artificial Roughness Encoding with a Bio-inspired MEMS-based Tactile Sensor Array

1
1-ARTS Lab - Advanced Robotics Technology and Systems Laboratory, Scuola Superiore Sant’Anna, Polo Sant’Anna Valdera / Viale Rinaldo Piaggio 34, 56025 Pontedera, PI, Italy
2
2-Informatics - Robotics & Embedded Systems, Technical University of Munich / 85748 Garching b. Muenchen, Germany
*
Author to whom correspondence should be addressed.
Received: 3 March 2009 / Revised: 22 April 2009 / Accepted: 24 April 2009 / Published: 27 April 2009
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Italy)
View Full-Text   |   Download PDF [1484 KB, uploaded 21 June 2014]   |  

Abstract

A compliant 2x2 tactile sensor array was developed and investigated for roughness encoding. State of the art cross shape 3D MEMS sensors were integrated with polymeric packaging providing in total 16 sensitive elements to external mechanical stimuli in an area of about 20 mm2, similarly to the SA1 innervation density in humans. Experimental analysis of the bio-inspired tactile sensor array was performed by using ridged surfaces, with spatial periods from 2.6 mm to 4.1 mm, which were indented with regulated 1N normal force and stroked at constant sliding velocity from 15 mm/s to 48 mm/s. A repeatable and expected frequency shift of the sensor outputs depending on the applied stimulus and on its scanning velocity was observed between 3.66 Hz and 18.46 Hz with an overall maximum error of 1.7%. The tactile sensor could also perform contact imaging during static stimulus indentation. The experiments demonstrated the suitability of this approach for the design of a roughness encoding tactile sensor for an artificial fingerpad.
Keywords: MEMS tactile sensor array; bio-inspired sensor; roughness encoding; dynamic touch; static contact imaging MEMS tactile sensor array; bio-inspired sensor; roughness encoding; dynamic touch; static contact imaging
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Oddo, C.M.; Beccai, L.; Felder, M.; Giovacchini, F.; Carrozza, M.C. Artificial Roughness Encoding with a Bio-inspired MEMS-based Tactile Sensor Array. Sensors 2009, 9, 3161-3183.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top