A New Path Following Algorithm With Uncertainty Information Of Robot's Initial Position and Its Implementation | |
Jinke Li; Ruiqing Fu; Xinyu Wu; Jianquan Sun; Huiwen Guo; Shaomin Zhang | |
2015 | |
会议名称 | International Conference on Information Science and Technology |
会议地点 | Changsha |
英文摘要 | In recent years, researchers come up with lots of path following algorithms. One of their basic assumptions is that the robot’s initial position is a single certain point. Actually, as robots rely on sensor data to locate by Kalman filter or Partical filter, it outputs a probability distribution. In this paper, F* describes a new path following algorithm with the robot's initial position is uncertain. It depends on Monte Carlo method and A* algorithm. Some important concepts are introduced and pseudo code is given to show how it works. Experiment results show that it is more effective than general algorithm. |
收录类别 | EI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/6764] ![]() |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | 2015 |
推荐引用方式 GB/T 7714 | Jinke Li,Ruiqing Fu,Xinyu Wu,et al. A New Path Following Algorithm With Uncertainty Information Of Robot's Initial Position and Its Implementation[C]. 见:International Conference on Information Science and Technology. Changsha. |
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