Self-organizing feature maps for modeling and control of robotic manipulators

被引:43
作者
Barreto, Guilherme De A. [1 ]
Araújo, Aluizio F. R. [1 ]
Ritter, Helge J. [2 ]
机构
[1] Department of Electrical Engineering, University of São Paulo, 13566-590 Sao Carlos, Sao Paulo, Brazil
[2] Neuroinformatics Group, University of Bielefeld, 33501 Bielefeld, Germany
来源
Journal of Intelligent and Robotic Systems: Theory and Applications | 2003年 / 36卷 / 04期
关键词
The authors would like to thank FAPESP for its financial support under the grants #98/12699-7 and #00/12517-8;
D O I
10.1023/A:1023641801514
中图分类号
学科分类号
摘要
94
引用
收藏
页码:407 / 450
页数:43
相关论文
共 136 条
[1]  
Alhoniemi E.(1999)Process monitoring and modeling using the self-organizing map Integrated Comput. Aided Engrg. 6 3-14
[2]  
Hollmén J.(2002)Context in temporal sequence processing: A selforganizing approach and its application to robotics IEEE Trans. Neural Networks 13 45-57
[3]  
Simula O.(1996)Neurocontrol: A literature survey Math. Comput. Modelling 23 101-107
[4]  
Vesanto J.(2001)Time in self-organizing maps: An overview of models Internat. J. Comput. Res. 10 139-179
[5]  
AraÚjo A. F. R.(2001)A self-organizing NARX network and its application to prediction of chaotic time series Proc. of the IEEE-INNS Internat. Joint Conf. on Neural Networks (IJCNN'01) 3 2144-2149
[6]  
Barreto G. A.(1998)Visually guided movements: Learning with modular neural maps in robotics Neural Networks 11 1395-1415
[7]  
Balakrishnan S. N.(1999)Multiple self-organizing maps to facilitate the learning of visuo-motor correlations Proc. of the IEEE Internat. Conf. on Systems, Man, and Cybernetics III 470-475
[8]  
Weil R. D.(1988)Neural dynamics of planned arm movements: Emergent invariants and speed-accuracy properties during trajectory formation Psycholog. Review 95 49-90
[9]  
Barreto G. A.(1993)A self-organizing neural model of motor equivalent reaching and tool use by a multijoint arm J. Cognitive Neurosci. 5 408-435
[10]  
AraÚjo A. F. R.(1991)Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system Neural Networks 4 759-771