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基于改进学习分类器的多机器人混合分层体系结构
引用本文:邵杰,杨静宇,杜丽娟. 基于改进学习分类器的多机器人混合分层体系结构[J]. 南阳理工学院学报, 2009, 1(3): 21-24
作者姓名:邵杰  杨静宇  杜丽娟
作者单位:南京理工大学计算机学院,江苏,南京,210094;商丘科技职业学院计算机系,河南,商丘,476000;南京理工大学计算机学院,江苏,南京,210094;商丘科技职业学院计算机系,河南,商丘,476000
摘    要:本文提出了一种基于改进学习分类器的多机器人混合分层体系结构。体系协作规划层中的人工势场栅格法、协调规划层的学习分类器广播操作及行为控制层的多机器人DSP控制系统,易于实现多机器人间的通信联络及系统的扩充,提高了整个多机器人系统的实用性、实时性和可靠性。

关 键 词:改进学习分类器  多机器人  混合分层体系结构

MULTI-ROBOTS HYBRID HIERARCHICAL ARCHITECTURE BASED ON THE IMPROVED LEARNING CLASSIFIER SYSTEM
SHAO Jie,YANG Jing-yu,DU Li-juan. MULTI-ROBOTS HYBRID HIERARCHICAL ARCHITECTURE BASED ON THE IMPROVED LEARNING CLASSIFIER SYSTEM[J]. Journal of Nanyang Institute of Technology, 2009, 1(3): 21-24
Authors:SHAO Jie  YANG Jing-yu  DU Li-juan
Affiliation:SHAO Jie , YANG Jing-yu,DU Li-juan ( 1. School of Computer Science, Nanjing University of Science and Technology , Nanjing 210094, China ; 2. Shangqiu Science and Technical Vocational College, Shangqiu 476000, China)
Abstract:The paper proposes a hybrid hierarchical architecture in multiple robot system based on improved learning classifier system. In the system cooperation-planning layer, Artificial Potential Field Grid Method,learning classifier broadcast operation of coordinationplanning layer and Mobile Control Platform in multiple robot system of behavior-control layer, easy to realize the multiple robot signal communication and system' s expansion, enhanced the entire multi-robot assembly system' s Practicality, Real-time and Reliability.
Keywords:Improved learning classifier system  Multi-robots  Hybrid hierarchical architecture
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