随着计算机、通信和信息家电市场的融合,各种便携式信息处理机器应运而生,产品款式型号形形色色,不胜枚举。仅就大的类别随便就可列出几种,诸如笔记本式和亚笔记本式电脑、个人数字助理PDA、数字化移动电话和第二代无绳电话CT2(Cordless...随着计算机、通信和信息家电市场的融合,各种便携式信息处理机器应运而生,产品款式型号形形色色,不胜枚举。仅就大的类别随便就可列出几种,诸如笔记本式和亚笔记本式电脑、个人数字助理PDA、数字化移动电话和第二代无绳电话CT2(Cordless Telephone Second Generation)。展开更多
Configuration information acquisition and matching are two important steps in the self-reconfiguring process of self-reconfigurable robots. The process of configuration information acquisition was introduced, and a se...Configuration information acquisition and matching are two important steps in the self-reconfiguring process of self-reconfigurable robots. The process of configuration information acquisition was introduced, and a self-reconfiguring configuration matching strategy based on graded optimization mechanism was proposed. The first-grade optimization was to search common connection between matching scheme and goal configuration. The second-grade optimization, whose object function was constructed in terms of configuration connectivity, was to search connnon topology according to the results of the first-grade optimization. The entire process of configuration information acquisition and matching was verified by an experiment and genetic algorithm （GA）. The result shows the accuracy of the configuration information acquisition and the effectiveness of the configuration matching method.展开更多
基金the National High Technology Research and Development Programme of China(No.2006AA04Z220)National Natural Science Foundation of China(No.60705027)Program for Changjiang Scholars and Innovative Research Team in University(PCSIRT)(No.IRT0423)
文摘Configuration information acquisition and matching are two important steps in the self-reconfiguring process of self-reconfigurable robots. The process of configuration information acquisition was introduced, and a self-reconfiguring configuration matching strategy based on graded optimization mechanism was proposed. The first-grade optimization was to search common connection between matching scheme and goal configuration. The second-grade optimization, whose object function was constructed in terms of configuration connectivity, was to search connnon topology according to the results of the first-grade optimization. The entire process of configuration information acquisition and matching was verified by an experiment and genetic algorithm （GA）. The result shows the accuracy of the configuration information acquisition and the effectiveness of the configuration matching method.
