首页> 外文会议>2014 IEEE International Conference on System Science ang Engineering >Robot path planning and smoothing based on fuzzy inference
【24h】

Robot path planning and smoothing based on fuzzy inference

机译:基于模糊推理的机器人路径规划与平滑

获取原文
获取原文并翻译 | 示例

摘要

To guide an autonomous robot in the space of obstacles, an enhanced path planning system including image processing, cluster reduction, path planning and smoothing based on fuzzy inference is proposed in this paper. To shorten the path planning time, the obstacles in the captured image are clustered into smaller groups firstly. Being a roadmap method for path generation, the fuzzy inference mechanism is employed consecutively. To smooth the planned path, a novel algorithm based on second fuzzy inference mechanism is proposed to move the rough waypoints. To verify the effectiveness of the proposed system, some simulations are carried out. From the simulations, the autonomous robot possesses good path planning and smoothing performance to reach its goal safely under various obstacle layouts.
机译:为了引导自主机器人在障碍物的空间中,提出了一种基于模糊推理的增强型路径规划系统,包括图像处理,聚类约简,路径规划和平滑。为了缩短路径规划时间,首先将捕获图像中的障碍物聚集成较小的组。作为路径生成的路线图方法,连续采用模糊推理机制。为了平滑规划路径,提出了一种基于第二模糊推理机制的粗略路径移动算法。为了验证所提出系统的有效性,进行了一些仿真。通过仿真,自主机器人具有良好的路径规划和平滑性能,可以在各种障碍物布局下安全地达到其目标。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号