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Force Sensing Using Kalman Filtering Techniques for Robot Compliant Motion Control

โœ Scribed by Shih-Tin Lin


Book ID
110256588
Publisher
Springer Netherlands
Year
1997
Tongue
English
Weight
253 KB
Volume
18
Category
Article
ISSN
0921-0296

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โœ Gerasimos G. Rigatos ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 658 KB

Motion control of mobile robots and efficient trajectory tracking is usually based on prior estimation of the robots' state vector. To this end Gaussian and nonparametric filters (state estimators from position measurements) have been developed. In this paper the Extended Kalman Filter which assumes