TY - GEN
T1 - Implementations of robot visual servo by learning
AU - Qingjie, Zhao
AU - Hongbin, Deng
AU - Xingguang, Duan
AU - Haidong, Hu
PY - 2008
Y1 - 2008
N2 - This paper uses learning methods to acquire image features from eigen subspace transform and acquire the nonlinear relation between image features and robot control commands through a wavelet function neural network. The stages include data-sampling, model-learning, and robot visual servo. The servo stage consists of acquiring an image, transforming it into image features, computing robot joints by the trained neural network, communicating and controlling the robot to move, until the desired image features are achieved. Implementations of related algorithms are given. Experiments are carried out successfully on a real robot-vision system.
AB - This paper uses learning methods to acquire image features from eigen subspace transform and acquire the nonlinear relation between image features and robot control commands through a wavelet function neural network. The stages include data-sampling, model-learning, and robot visual servo. The servo stage consists of acquiring an image, transforming it into image features, computing robot joints by the trained neural network, communicating and controlling the robot to move, until the desired image features are achieved. Implementations of related algorithms are given. Experiments are carried out successfully on a real robot-vision system.
UR - http://www.scopus.com/inward/record.url?scp=52449111577&partnerID=8YFLogxK
U2 - 10.1109/ICICIC.2008.314
DO - 10.1109/ICICIC.2008.314
M3 - Conference contribution
AN - SCOPUS:52449111577
SN - 9780769531618
T3 - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
BT - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
T2 - 3rd International Conference on Innovative Computing Information and Control, ICICIC'08
Y2 - 18 June 2008 through 20 June 2008
ER -