Abstract
A genetic-fuzzy approach is developed to solve the navigation problem of a mobile robot in dynamic environment. The improved genetic algorithms are used for tuning the scaling factors of the state variables and rule sets of a fuzzy logic controller are used to navigate among moving obstacles. The results of simulation experiment indicate the effectiveness of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 946-948 |
| Number of pages | 3 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 36 |
| Issue number | 7 |
| State | Published - Jul 2004 |
| Externally published | Yes |
Keywords
- Fuzzy logic controller
- GA
- Local path planning
- Mobile robot
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