DocumentCode :
664078
Title :
Uncalibrated vision-based deformation control of compliant objects with online estimation of the Jacobian matrix
Author :
Navarro-Alarcon, David ; Yun-Hui Liu
Author_Institution :
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
fYear :
2013
fDate :
3-7 Nov. 2013
Firstpage :
4977
Lastpage :
4982
Abstract :
In this paper, we propose a new vision-based controller to actively deform an unknown elastic object. Note that most deformation controllers in the literature require a-priori knowledge of the object´s deformation properties. In contrast to this trend, we present a new Lyapunov-based method that online estimates the unknown deformation Jacobian matrix, avoiding any model identification or calibration steps. To achieve the desired object´s deformation, we derive an innovative dynamic-state feedback velocity control law using the passivity-based framework. We present a detailed experimental study to validate the feasibility of our deformation controller.
Keywords :
Jacobian matrices; Lyapunov methods; computer vision; controllers; state feedback; velocity control; Lyapunov-based method; compliant objects; innovative dynamic-state feedback velocity control law; object deformation properties; online unknown deformation Jacobian matrix estimation; passivity-based framework; uncalibrated vision-based deformation controller; vision-based controller; Deformable models; Jacobian matrices; Manipulators; Vectors; Velocity control; Visualization;
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.2013.6697075
Filename :
6697075
Link To Document :
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