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