Title
Coordinate transformation learning of hand position feedback controller by using change of position error norm
Abstract
In order to grasp an object, we need to solve the inverse kinematicsproblem, i.e., the coordinate transformation from the visualcoordinates to the joint angle vector coordinates of the arm. Althoughseveral models of coordinate transformation learning havebeen proposed, they suffer from a number of drawbacks. In humanmotion control, the learning of the hand position error feedbackcontroller in the inverse kinematics solver is important. This paperproposes a novel model of the...
Year
Venue
Keywords
1998
Proceedings of the 1998 conference on Advances in neural information processing systems II
position error norm,hand position feedback controller,neural network,motor learning,coordinate transformation,inverse kinematics
Field
DocType
Volume
Coordinate system,Coordinate vector,GRASP,Feedback controller,Inverse kinematics,Computer science,Control theory,Change of position,Human motion,Solver
Conference
11
ISSN
ISBN
Citations 
1049-5258
0-262-11245-0
8
PageRank 
References 
Authors
1.97
1
2
Name
Order
Citations
PageRank
Eimei Oyama112020.45
Susumu Tachi21294221.20