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Neural network-based calibration of electromagnetic tracking systems

โœ Scribed by Volodymyr V. Kindratenko; William R. Sherman


Book ID
106262364
Publisher
Springer-Verlag
Year
2005
Tongue
English
Weight
382 KB
Volume
9
Category
Article
ISSN
1359-4338

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In this paper, we describe a robot endeffector tracking system based on two neural networks. The designed networks are to recognize the current po~,;ition and to estimate the next position of the endeffector. This tracking system can be very useful in controlling a robot at a remote site. A multila