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家庭服务机器人智能空间技术研究与进展

田国会,李晓磊, 赵守鹏, 路飞

  

  1. 山东大学控制科学与工程学院,山东济南250061
  • 收稿日期:2007-08-16 修回日期:1900-01-01 出版日期:2007-10-24 发布日期:2007-10-24
  • 通讯作者: 田国会

Research and development of intelligent space technology for a home service robot

TIAN Guo-hui,LI Xiao-lei,ZHAO Shou-peng,LU Fei

  

  1. School of Control Science and Engineering,Shandong University,Jinan 250061,China
  • Received:2007-08-16 Revised:1900-01-01 Online:2007-10-24 Published:2007-10-24
  • Contact: TIAN Guo-hui

摘要: 智能空间技术是一个刚刚兴起的前沿课题.应用于家庭服务机器人的智能空间技术,就是把感知器件、执行器件分布地安装在空间中相应的位置,实现对空间内部人和物的全面感知,从而通过执行器实现相应的服务任务;同时能够为机器人提供更加完备的环境信息,使得机器人本身可以降低对于本体携带感知器件的要求,能够“轻装上阵”,在未知或半未知的动态环境中实现更加快捷、准确、稳定的家庭服务工作.系统总结了智能空间技术的发展现状,并详细介绍了应用于家庭服务机器人的智能空间的构成、特点及其主要研究内容,对其所涉及的相关技术进行了介绍,最后给出了家庭服务机器人智能空间技术研究的新方向.

关键词: 家庭服务机器人, 智能空间, 自主定位与导航, 地图构建

Abstract: Intelligent space technology is a new research field. The intelligent space technology for a home service robot can perceive men and objects in space more completely and realize the relevant service task by setting sensors and actuators distributely in the specified positions of space. Simultaneously the service robot can obtain more comprehensive environmental information through the intelligent space, instead of being equipped with too many sensors itself, and the service robot can work more rapidly, accurately and stably with light packs in an unknown or semiunknown dynamic environment. First, the research situation of intelligent space technology was summarized, then the structure, characteristics and key research topic for the intelligent space for a home service robot were introduced, and the relevant technologies were also proposed. Finally, the new research direction of the intelligent space for a home service robot was discussed.

Key words: home service robot, intelligent space, autonomous localization and navigation, map building

中图分类号: 

  • TP242
[1] 李国栋,赵威,田国会*,薛英花. 一种基于旋转矩阵分解的视觉伺服控制算法[J]. 山东大学学报(工学版), 2012, 42(1): 45-50.
[2] 田国会,宋保业. 一种面向物品定位的射频标签定位方法[J]. 山东大学学报(工学版), 2011, 41(5): 26-31 .
[3] 宋保业,田国会,周风余. 基于CC2431的智能空间定位系统[J]. 山东大学学报(工学版), 2011, 41(1): 40-44.
[4] 田国会 吉艳青 黄彬. 基于多特征融合的人体动作识别[J]. 山东大学学报(工学版), 2009, 39(5): 43-47.
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