DocumentCode
663624
Title
Deformation-tracking impedance control in interaction with uncertain environments
Author
Roveda, Loris ; Vicentini, Federico ; Tosatti, Lorenzo Molinari
Author_Institution
Inst. of Ind. Technol. & Autom. (ITIA), Milan, Italy
fYear
2013
fDate
3-7 Nov. 2013
Firstpage
1992
Lastpage
1997
Abstract
A deformation-tracking impedance control strategy is discussed for applications where a manipulator interacts with environments of unknown geometrical and mechanical properties, especially with stiffness comparable to a controlled robot stiffness. Based on force-tracking impedance controls, the deformation-tracking strategy allows the control of a desired deformation of the target environment, requiring the on-line estimation of the environment stiffness. An Extended Kalman Filter is used for the estimation of the environment because of measurement uncertainties and errors in compound interaction model. The tasks presented involve full body spatial interactions with a time-varying environment stiffness. The Extended Kalman Filter and the deformation-tracking impedance control are validated in simulation and with experiments. In particular, a cooperative assembly task is also performed with a human operator acting as varying environment, i.e. unpredictably changing the handling arm stiffness.
Keywords
Kalman filters; deformation; dexterous manipulators; elastic constants; force control; nonlinear filters; uncertain systems; arm stiffness handling; compound interaction model; controlled robot stiffness; cooperative assembly task; deformation-tracking impedance control; extended Kalman filter; force-tracking impedance control; full-body spatial interactions; human operator; measurement errors; measurement uncertainties; online estimation; target environment; time-varying environment stiffness; uncertain environments; unknown geometrical properties; unknown mechanical properties; Assembly; Dynamics; Estimation; Force; Force measurement; Impedance; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
Conference_Location
Tokyo
ISSN
2153-0858
Type
conf
DOI
10.1109/IROS.2013.6696621
Filename
6696621
Link To Document