期刊文献+

非平坦地形下移动机器人航迹推测方法研究 被引量:6

Study on Dead Reckoning for a Mobile Robot on Uneven Terrain
下载PDF
导出
摘要 精确可靠的航迹推测是实现移动机器人自主导航的一个极为关键的环节.针对一个3 摇杆6驱动轮的移动机器人实验平台,本文提出了其在非平坦地形下的航迹推测方法.通过运动机构的分析,获得了移动机器人自身的位姿及运动参数.基于非平坦地形下运动机构间的刚体约束,建立了机器人的运动学模型.采用编码器、光纤陀螺仪和倾角传感器等测量机器人的动态参数信息,依据其运动学模型实现非平坦地形下的航迹推测、仿真,并分析验证了航迹推测方法的有效性,从而提高了移动机器人自主导航的定位精度. It is a very important link for autonomous navigation of mobile robot to have an ability in accurate and reliable dead reckoning. Hence, this paper presents a dead reckoning method for an experimental platform of mobile robot with three rocker-bogie suspensions and six drive wheels on uneven terrain. The pose and motion parameters of mobile robot are obtained by the analysis of locomotion architecture, and its kinematic model is built based on the rigid constrains. Sensors such as odometry, fiber optic gyros and tilt are used to measure the dynamic parameters information, then dead reckoning of mobile robot is realized on uneven terrain according to its kinematic model. Simulation result using this robot platform demonstrates the effectiveness of the dead reckoning method which enhances the localization precision of autonomous navigation of mobile robot.
出处 《河南理工大学学报(自然科学版)》 CAS 2005年第3期210-216,共7页 Journal of Henan Polytechnic University(Natural Science)
基金 国家自然科学基金项目(60234030)
关键词 移动机器人 航迹推测 运动学模型 非平坦地形 mobile robot dead reckoning kinematic model uneven terrain
  • 相关文献

参考文献14

  • 1蔡自兴,贺汉根,陈虹.未知环境中移动机器人导航控制研究的若干问题[J].控制与决策,2002,17(4):385-390. 被引量:119
  • 2Kleinberg J M.The Localization Problem for Mobile Robots[A].Proc.35th IEEE Symp.on Foundations of Computer Science (FOCS)[C].Los Alamitos,CA,1994:521-531.
  • 3Borenstein J,Everett H R,Feng L et al.Mobile Robot Positioning-Sensors and Techniques[J].Journal of Robotic Systems,1997,14(4):231-249.
  • 4Gutmann J S,Burgard W,Fox D et al.An Experimental Comparison of Localization methods[A].Proc.Of the IEEE/RSJ Int.Conf.on Intelligent Robots and Systems(IROS'98)[C].Victoria,Canada,1998:736-743.
  • 5Kuroda Y,Kurosawa T,Tsuchiya A et al,Accurate Localization in Combination with Planet Observation and Dead Reckoning for Lunar Rover[A].Proc.of 2004 IEEE Int.Conf.on Robotics and Automation(ICRA'04)[C].Barcelona,Spain,2004:2092-2097.
  • 6Nebot E M.Sensors Used for Autonomous Navigation.Advances in Intelligent Autonomous Systems(Chapter 7)[M].Dordrecht:Kluwer Academic Publishers,1999.
  • 7Ridao P,Forest J,Pacheco L et al.Sensorial and Navigation Systems for a Mobile Robot (ROGER)[A].Proc.3rd IFAC Symp.on Intelligent Autonomous Vehicles[C].Madrid,Spain,1998:450-455.
  • 8Borenstein J,Feng L.Measurement and Correction of Systematic Odometry Errors in Mobile Robts[J].IEEE Journal of Robotics and Automation,1996,12(6):869-880.
  • 9Bennett S M,Dyott R,Allen D et al.Fiber Optic Rate Gyros as Replacements for Mechanical Gyros[J].American Institute of Aeronautics & Astronautics,1998,1315-1321.
  • 10Borenstein J.Experimental Evaluation of a Fiber Optics Gyroscope for Improving Dead-reckoning Accuracy in Mobile Robots[A].Proc.1998 IEEE Int.Conf.on Robotics and Automation[C].Leuven,Belgium,1998:3456-3461.

二级参考文献8

共引文献118

同被引文献46

引证文献6

二级引证文献10

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