DocumentCode
3227422
Title
A damped least-squares solution to redundancy resolution
Author
Egeland, Olav ; Sagli, J. Richard ; Spangelo, Inge ; Chiaverini, Stefano
Author_Institution
Div. of Eng. Cybern., Norwegian Inst. of Technol., Trondheim, Norway
fYear
1991
fDate
9-11 Apr 1991
Firstpage
945
Abstract
Singularity robust redundancy resolution with task priority can be implemented using the extended Jacobian technique with weighted damped least-squares. The resulting scheme is simple to implement and involves less computation than the task priority scheme. The minimum singular value of the Jacobian can be estimated reliably and accurately with little computation, and this estimate was used to calculate an appropriate damping factor. A constant damping factor was also used with good results. The scheme was successfully implemented in a simulation study with a seven-joint manipulator with a kinematic design derived from the PUMA geometry
Keywords
kinematics; least squares approximations; redundancy; robots; PUMA geometry; damped least-squares solution; extended Jacobian technique; minimum singular value; redundancy resolution; seven-joint manipulator; Computational modeling; Cybernetics; Damping; Geometry; Jacobian matrices; Kinematics; Redundancy; Robustness; Solid modeling; Transmission line matrix methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location
Sacramento, CA
Print_ISBN
0-8186-2163-X
Type
conf
DOI
10.1109/ROBOT.1991.131710
Filename
131710
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