A New Path Following Algorithm With Uncertainty Information Of Robot's Initial Position and Its Implementation
文献类型：会议论文
| 作者 | Jinke Li; Ruiqing Fu; Xinyu Wu; Jianquan Sun; Huiwen Guo; Shaomin Zhang |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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