z-logo
open-access-imgOpen Access
Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
Author(s) -
Tine Lefebvre,
Herman Bruyninckx,
Joris De Schutter
Publication year - 2005
Publication title -
springer tracts in advanced robotics
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.485
H-Index - 49
eISSN - 1610-742X
pISSN - 1610-7438
DOI - 10.1007/11533054
Subject(s) - kalman filter , nonlinear system , robot , computer science , extended kalman filter , control theory (sociology) , control engineering , artificial intelligence , engineering , physics , control (management) , quantum mechanics
.- Literature Survey: Autonomous Compliant Motion.- Literature Survey: Bayesian Probability Theory.- Kalman Filters for Nonlinear Systems.- The Non-Minimal State Kalman Filter.- Contact Modelling.- Geometrical Parameter Estimation and CF Recognition.- Experiment: A Cube-In-Corner Assembly.- Task Planning with Active Sensing.- General Conclusions.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom