期刊文献+

VFF^+:改进的虚拟力场移动机器人避障算法 被引量:6

VFF^+:Improved Virtual Force Field Obstacle Avoidance Algorithm for Mobile Robot
下载PDF
导出
摘要 分析了虚拟力场法采用全局栅格表示环境信息具有累积误差大、信息存储量大的缺点,设计了动态栅格法表示环境信息,使用跟随机器人移动的扇形栅格表示环境信息,使用栅格中心坐标投影的方法存储多次超声测量数据信息,与势场法相结合对机器人进行导航控制。经仿真和实验验证,改进后的虚拟力场法取得了良好的应用效果。 The virtual force field obstacle avoidance algorithm is analyzed,it is indicated that the certainty value algorithm for environment description has the disadvantages of big error accumulation and needs more data memory.The dynamic grids algorithm is proposed,sector grids which move together with robot are used to describe environment information,environment information are saved by the means of mapping of grid center coordinate,it is integrated with potential field methods for robot navigation control.By the simulation and experiment validation,this obstacle avoidance algorithm achieves good effect.
出处 《工业控制计算机》 2007年第5期26-27,29,共3页 Industrial Control Computer
基金 面向21世纪教育振兴行动计划资助项目(204023) 国家863基金资助项目(2001AA422110)
关键词 虚拟力场法 动态栅格法 移动机器人 避障 virtual force field algorithm,dynamic grids algorithm,mobile robot,obstacle avoidance
  • 相关文献

参考文献6

  • 1Borenstein J,Koren Y.Real-time obstacle avoidance for fast mobile robots[A].IEEE International Conference on Systems,Man and Cybernetics.1989:1179-1187.
  • 2Koren Y,Borenstein J.Potential field methods and their inherent limitations for mobile robot navigation[A].IEEE International Conference on Robotics and Automation.1991:1398-1404.
  • 3Thongchai S,Kawamura K.Application of fuzzy control to a sonar-based obstacle avoidance mobile robot[A].IEEE International Conference on Control Applications.2000:425-430.
  • 4Borenstein J,Koren Y.The vector field histogram-fast obstacle avoidance for mobile robots[A].IEEE International Conference on Robotics and Automation.1991:278-288.
  • 5Mbede J B,Huang X,Wang M.Robust fuzzy and recurrent neural network motion control among dynamic obstacles for robot manipulators[A].IEEE International Conference on Robotics and Automation.2000:2136-2145.
  • 6Kwang-Young Im,Se-Young Oh.An extended virtual force field based behavioral fusion with neural networks and evolutionary programming for mobile robot navigation[A].IEEE International Conference on Evolutionary Computation.2000:1238-1244.

同被引文献70

引证文献6

二级引证文献44

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