检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:邹湘军[1] 罗锡文[1] 卢俊[1] 罗陆锋[1] 李宗樑[1] 莫雪生[1] 范蕾[1]
出 处:《系统仿真学报》2006年第z2期551-553,562,共4页Journal of System Simulation
基 金:广东省自然基金(05006661);国家自然基金(60574029);211工程资助
摘 要:由于农业移动机器人的作业环境与对象的复杂性和不确定性,使机器人在作业时不能有效地获取导航知识以便对其行为进行决策。利用人工智能和虚拟现实技术,研究了移动机器人的复杂行为,构建虚拟环境和基于规则和案例的知识库,对机器人复杂行为分类,把复杂行为分解为简单、特定和已知的行为。对于不确定的和没有前驱知识的行为,利用相似案例和不确定推理为行为进行导航。然后,建立了多Agent行为决策系统,定义了该结构的六元函数,建立了消息和事件驱动机制,实现了虚拟环境下移动式机器人对水果的采摘行为及其仿真建模。The agricultural mobile robots are unable to gain navigation knowledge effectively to make decision for their behaviors during the performance due to complexity and uncertainty of operating environment and object. Complex behaviors of the mobile robots were studied based on artificial intelligence and virtual reality technology. The virtual environment, rule-base and case-base knowledge were built, and the complex behavior of the mobile robots was classified into simple, specific and foregone behaviors. The robot was navigated using similar cases and uncertain reasoning for the behaviors which is uncertain and has no priori knowledge. Then a multi-agent behavior-decision system was built and sextuple function of the structure was defined. News and events-driven mechanism were set up to achieve robots behavior of fruit picking and simulation modeling in virtual environment.
关 键 词:农业移动机器人 复杂行为 不确定性 多AGENT决策 虚拟环境
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7