Multi-Robot Hybrid Hierarchical Architecture Based on the Learning Classifier System

SHAO Jie; YANG Jing-yu

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Multi-Robot Hybrid Hierarchical Architecture Based on the Learning Classifier System

更新时间：2026-09-04

- Multi-Robot Hybrid Hierarchical Architecture Based on the Learning Classifier System
- Vol. 27, Issue 11, Pages: 128-131(2010)
- 作者机构：
  
  1. 南京理工大学计算机学院,江苏,南京,210094
  2. 商丘科技职业学院计算机系,河南,商丘,476000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
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邵杰, 杨静宇. 基于LCS的多机器人路径规划控制体系结构[J]. 微电子学与计算机, 2010, 27(11): 128-131.

SHAO Jie, YANG Jing-yu. Multi-Robot Hybrid Hierarchical Architecture Based on the Learning Classifier System[J]. 2010, 27(11): 128-131.
邵杰, 杨静宇. 基于LCS的多机器人路径规划控制体系结构[J]. 微电子学与计算机, 2010, 27(11): 128-131. DOI：

SHAO Jie, YANG Jing-yu. Multi-Robot Hybrid Hierarchical Architecture Based on the Learning Classifier System[J]. 2010, 27(11): 128-131. DOI：

摘要

提出了一种基于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.

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 coordination-planning layer and mobile control platform in multiple robot system of behavior-control layer

easy to realize the multiple robot signal communication and systems expansion

enhanced the entire multi-robot assembly systems practicality

real-time and reliability.

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