期刊文献+

移动机器人构建地图的研究与发展 被引量:12

Overview of Research on Environment Exploration and Map-Building with Mobile Robots
下载PDF
导出
摘要 系统地综述了移动机器人探测环境构建地图的研究现状,总结了探测环境研究中机器人的自定位、传感技术及其不确定性的补偿和不同性质数据的融合算法,在此基础上分析了该研究领域中存在的问题,并对该研究方向未来的发展趋势进行了展望。 In this paper, research on environment exploration and map-building with mobile robots is systematically overviewed; the main research contents are summarized to be three parts: self-positioning of robots, sensor techniques and their uncertainty decreasing, and fusion algorithms of different kinds of data; existing problems are analyzed based on the overview and the future developing tendanciesare predicted.
作者 苏丽颖 谭民
出处 《中国科学院研究生院学报》 CAS CSCD 2002年第2期157-162,共6页 Journal of the Graduate School of the Chinese Academy of Sciences
基金 国家自然科学基金(69975 0 2 2 ) 863 "智能机器人主题(993 5 0 2 )资助
关键词 移动机器人 环境探测 地图构建 自定位 传感器 数据融合 mobile robots, environment exploration, map-building
  • 相关文献

参考文献24

  • 1[1]Y Uny Cao, Alex S, Fukunaga, et al. Cooperative Mobile Robotics: Antecedents and Directions Autonomous Robots. 1997, (4): 7~27
  • 2[2]Clark F, Olson. Probabilistic Self-Localization for Mobile Robots. IEEE Transactions on Robotics and Automation, 2000, 16(1): 55~66
  • 3[3]Brian Yamauchi. Frontier-Based Exploration Using Multiple Robots. In: Proceedings of the Second International Conference on Autonomous Agents(Agents'98), Minneapolis, MN, 1998. 47~53
  • 4[4]S. Thrun, M Beetz, et al. Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva. The International Journal of Robotics Research, 2000, 19(11): 972~999
  • 5[5]Masahiro Tomono, Shin' ichi Yuta. A Framework for Indoor Navagation based on a Partially Quantitative Map. In: Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems, Japan, 2000, 1: 626~632
  • 6[6]J Borenstein, H R Everett, L Feng, et al. Mobile Robot Positioning: Sensors and Techniques. Journal of Robotic Systems, 1997, 14: 231~249
  • 7[7]Louis Drolet, Francois Michaud, Jean Cté. A daptable Sensor Fusion Using Multiple Kalman Filters. In: Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems, Japan, 2000, 1: 1434~1439
  • 8[8]J J Leonard, H F Durrant-Whyte. Mobile Robot Localization by Tracking Geometric Beacons. IEEE transactions on Robotics and Automation, 1991, 7: 376~382
  • 9[9]M Betke, L Gurvits. Mobile Robot Localization Using Landmarks. IEEE Transactions on Robotics and Automation, 1997, 13: 251~163
  • 10[10]Gordon Kao, Penny Probert. Feature Extraction from a Broadband Sonar Sensor for Mapping Structured Environments Efficiently. The International Journal of Robotics and Research. 2000, 10: 895~913

二级参考文献7

  • 1刘开第,不确定性信息数学处理及应用,1999年
  • 2张文修,不确定性推理原理,1996年
  • 3李洪志,信息融合技术,1996年
  • 4Ren Cluo,Industrial Electronics 1994 Symposium Proceedings ISIE'94,1994年,7页
  • 5Greg Hager,Int J Robotics Research,1991年,10卷,4期,285页
  • 6Ren C,IEEE Transaction Systems Man Cybernetics,1989年,19卷,5期,901页
  • 7Wen W,Proc the 1992 IEEE Int Conference on Robotics and Automation

共引文献35

同被引文献94

引证文献12

二级引证文献66

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部