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
Link To Document :
بازگشت