| |
Abstract:
In order to grasp an object, we need to solve the inverse
kinematics problem, i.e., the coordinate transformation from the
visual coordinates to the joint angle vector coordinates. In human
motion control, the learning function of the hand position error
feedback controller in human inverse kinematics solver is
important. This paper proposes a novel model of the coordinate
transformation learning of the human visual feedback controller,
which uses the change of the joint angle vector and the
corresponding change of the square of the hand position error
norm.
|
