期刊文献+

非360°探测范围四轮导航车辆的平滑路径避障算法 被引量:7

Smooth Obstacle-avoidance by 4-wheel Navigational Vehicle Using Non-360 Range Sensors
原文传递
导出
摘要 提出一种基于bug算法、适用于具有最小转弯半径的非360探测范围车辆的避障导航算法,使四轮车辆能够以连续而平滑的路径绕行障碍物边缘,最终完成定目标导航.算法使用"虚拟触角"直观表示前方的通行状态;参考"触须法"分析车辆转弯状态,根据周围环境不断改变车辆的最小转弯半径,实时修正转弯路线.轮式机器人Pioneer3-AT上的试验结果对比显示,机器人可以利用该算法顺利完成未知环境下定目标无碰撞导航,生成的路径连续而平滑.本算法解决了这类车辆不能应用bug类算法的问题. An obstacle-avoidance navigation algorithm based on bug algorithm is proposed for the vehicle using non-360°range sensors and having minimum turning radius. Then the vehicle can bypass obstacle edge along a continuous and smooth path and complete the fixed-goal navigation task. This algorithm uses "virtual antenna" to intuitively represent passable state in the front. The "tentacle algorithm" is used to analyze turning state, and the minimum turning radius of the vehicle is changed according to the surrounding environment to correct the turning route in real time. The test result on a Pioneer 3-AT wheeled robot show that the robot using the proposed algorithm can reach the fixed goal in an unknown environment without collision, and the trajectory is continuous and smooth. The algorithm solve the problem that bug algorithm cannot be used in this kind of vehicles.
出处 《机器人》 EI CSCD 北大核心 2013年第5期527-534,共8页 Robot
基金 国家自然科学基金资助项目(61175081) 高等学校博士学科点专项科研基金资助项目(20114404110003) 农业部948计划资助项目(2011-G32)
关键词 平滑路径 非360°探测范围 避障 虚拟触角 触须法 smooth trajectory non-360° range obstacle avoidance virtual antenna tentacle
  • 相关文献

参考文献7

二级参考文献66

共引文献66

同被引文献68

  • 1康亮,赵春霞,郭剑辉.未知环境下基于三次螺线Bug算法的移动机器人路径规划[J].工程图学学报,2010,31(1):30-38. 被引量:6
  • 2李一波,张庆涛.室内未知环境遍历路径规划算法综述[J].计算机科学,2012,39(S3):334-338. 被引量:7
  • 3王荣本,张友坤,王志中.世界自动引导车辆系统(AGVS)的发展[J].农业工程学报,1994,10(2):18-22. 被引量:14
  • 4刘华军,杨静宇,陆建峰,唐振民,赵春霞,成伟明.移动机器人运动规划研究综述[J].中国工程科学,2006,8(1):85-94. 被引量:76
  • 5宗光华,邓鲁华,王巍.一种鲁棒的室外移动机器人定位方法[J].北京航空航天大学学报,2007,33(4):454-458. 被引量:7
  • 6Bauer S, Bauer-Gogonea S, Graz I, et al. 25 th anni versary article: a soft future: from robots and sensor skin to energy harvesters [J]. Advanced Materials, 2014, 26(1).. 149 -162.
  • 7Sariff N, Buniyamin N. An overview of autonomous mobile robot path planning algorithms [C]// 4th Student Conference on Research and Development,2006. Selangor, IEEE, 2006.. 183-188.
  • 8Zohaib M, Pasha S M, Javaid N, et al. IBA: intelligent bug algorithm a novel strategy to navigate mobile robots autonomously [M]//Zohaib M. Communication Tech- nologies, Information Security and Sustainable Develop- ment. Switzerland, Springer International Publishing, 2014: 291-299.
  • 9Hachour O. Path planning of autonomous mobile robot [J]. International Journal of Systems Applications, En- gineering Development, 2008, 2(4): 178-190.
  • 10Terzimehic T, Silajdzic S, Vajnberger V, et al. Path finding simulator for mobile robot navigation [C]// 2011 XXIII International Symposium on Information, Communication and Automation Technologies. Saraje- vo, IEEE, 2011:1- 6.

引证文献7

二级引证文献38

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