This paper presents an iterative learning scheme for vision-guided robot trajectory tracking. First, a stability criterion for designing iterative learning controller is proposed. It can be used for a system with initial resetting error. By using the criterion, one can convert the design problem into finding a positive definite discrete matrix kernel and a more general form of learning control can be obtained. Then, a three-dimensional (3D) trajectory tracking system with a single static camera to realize robot movement imitation is presented based on this criterion.
Published in:
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
(Volume:32
,
Issue:
2
)
Date of Publication: Mar 2002