DocumentCode :
3017204
Title :
Accurate modeling of low-cost piezoresistive force sensors for haptic interfaces
Author :
Paredes-Madrid, L. ; Torruella, P. ; Solaeche, P. ; Galiana, I. ; De Santos, P. Gonzalez
Author_Institution :
Center of Autom. & Robot. UPM- CSIC, Madrid, Spain
fYear :
2010
fDate :
3-7 May 2010
Firstpage :
1828
Lastpage :
1833
Abstract :
In this paper we present a new method for measuring forces using piezoresistive sensors. This method dramatically increases the accuracy and repeatability of the readings compared with traditional methods. These improvements will allow the common use of piezoresistive sensors in robotic applications, where only expensive and sophisticated force sensors such as load cells are currently used. We also present a sketch of a haptic interface under development, consisting of a data glove in which these force sensors are integrated. This interface is intended to control an Intelligent Assist Device by measuring operator-applied forces to the load. The new method proposed for measuring forces in piezoresistive sensors consists of reading conductance and capacitance by applying DC and sinusoidal waveforms to the sensors, thereby allow us to determine a multivariable estimation of force, instead of using the traditional, purely resistive model that has been used up to now.
Keywords :
force measurement; force sensors; haptic interfaces; piezoresistive devices; robots; capacitance; conductance; data glove; haptic interfaces; intelligent assist device control; load cells; multivariable force estimation; operator-applied forces measurement; piezoresistive force sensors modeling; robotic applications; sinusoidal waveforms; Capacitive sensors; Data gloves; Force control; Force measurement; Force sensors; Haptic interfaces; Intelligent control; Intelligent sensors; Piezoresistance; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2010 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1050-4729
Print_ISBN :
978-1-4244-5038-1
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2010.5509436
Filename :
5509436
Link To Document :
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