DocumentCode :
251078
Title :
Prioritized inverse kinematics using QR and cholesky decompositions
Author :
Sang-ik An ; Dongheui Lee
Author_Institution :
Inst. of Autom. Control Eng., Tech. Univ. Munchen, Munich, Germany
fYear :
2014
fDate :
May 31 2014-June 7 2014
Firstpage :
5062
Lastpage :
5069
Abstract :
This paper proposes new methods for the prioritized inverse kinematics (PIK) by using the QR decomposition (QRD) and the Cholesky decomposition (CLD) on the purpose of separation between orthogonalization and inversion processes that are essential parts of the PIK. The distinctive approach eliminates the interference between two processes which usually induces inaccuracy and sometimes instability on the prioritized inverse solutions. Two degenerate properties of using the QRD are explained and the remedies are provided as the modified damped least-squares pseudoinverse and the numerical reconditioning. The effectiveness are examined by the kinematic simulations with the n-link manipulators in the two-dimensional case and the KUKA LWR in the three-dimensional case.
Keywords :
inverse problems; least squares approximations; manipulator kinematics; matrix decomposition; CLD; Cholesky decomposition; KUKA LWR; PIK; QR decomposition; QRD; inversion process; kinematic simulation; modified damped least-squares pseudoinverse; n-link manipulators; numerical reconditioning; orthogonalization process; prioritized inverse kinematics; Damping; Jacobian matrices; Joints; Kinematics; Manipulators; Matrix decomposition; Redundancy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/ICRA.2014.6907601
Filename :
6907601
Link To Document :
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