DocumentCode :
3025243
Title :
Magnetic field-based sensing method for spherical joint
Author :
Foong, Shaohui ; Lee, Kok-Meng ; Bai, Kun
Author_Institution :
Woodruff Sch. of Mech. Eng.y, Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2010
fDate :
3-7 May 2010
Firstpage :
5447
Lastpage :
5452
Abstract :
This paper presents a sensing method that harnesses the capacity of modern sensors to measure vector fields. This approach directly maps distributed independent field measurements to the instantaneous orientation of a spherical joint embedded with low-cost permanent magnets. Unlike existing methods which require a priori and precise field models, this direct method engages an artificial neural network to associate a collection of measurements to joint orientation. The operation of both bipolar and unipolar single and multi-axis sensors were considered and evaluated experimentally.
Keywords :
magnetic field measurement; magnetic sensors; manipulators; neural nets; permanent magnets; sensor fusion; artificial neural network; distributed independent field measurement; low cost permanent magnet; magnetic field based sensing method; multiaxis sensor; spherical joint orientation; vector field measurement; Artificial neural networks; Capacitive sensors; Magnetic field measurement; Magnetic fields; Magnetic sensors; Optical sensors; Permanent magnets; Position measurement; Robotics and automation; Sensor 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.2010.5509790
Filename :
5509790
Link To Document :
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