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A Robotic Vision System for Object Identification and Manipulation Using Synergetic Pattern Recognition
Fei-Yue Wang; Paul J. A. Lever; Bing Pu; -
1993
发表期刊International Journal of Robotics and Computer-Integrated Manufacturing
卷号10期号:6页码:445-459
摘要-  ;
This paper discusses the application of the synergetic pattern recognition method to a robotic vision system for workpiece identification and manipulation in automated flexible manufacturing environments. The original synergetic algorithm is extended to allow its pattern attention parameters to have different values. Stability analysis of the extended recognition model indicates that the prototype patterns are the only stable patterns and undesired spurious patterns cannot exist. A simple scheme for tuning attention parameters is developed. Simulation results show that the number of object misclassification is reduced significantly with this extension. In addition, an image preprocessing procedure enables synergetic recognition to he simultaneously invariant to spatial pattern translation, rotation, and scaling; while an approach for recovering position, orientation, and size information is also proposed. Simple and efficient task-directed and object-specific strategies for robotic workpiece manipulation are now easy to implement based on these results and procedures.
关键词Synergetic Pattern Recognition Robotic
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/14196
专题09年以前成果
通讯作者-
推荐引用方式
GB/T 7714
Fei-Yue Wang,Paul J. A. Lever,Bing Pu,et al. A Robotic Vision System for Object Identification and Manipulation Using Synergetic Pattern Recognition[J]. International Journal of Robotics and Computer-Integrated Manufacturing,1993,10(6):445-459.
APA Fei-Yue Wang,Paul J. A. Lever,Bing Pu,&-.(1993).A Robotic Vision System for Object Identification and Manipulation Using Synergetic Pattern Recognition.International Journal of Robotics and Computer-Integrated Manufacturing,10(6),445-459.
MLA Fei-Yue Wang,et al."A Robotic Vision System for Object Identification and Manipulation Using Synergetic Pattern Recognition".International Journal of Robotics and Computer-Integrated Manufacturing 10.6(1993):445-459.
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