Abstract
Time optical trajectories for mobile robot Nomad 200 is produced with a differential evolution-fuzzy inference system algorithm (DE-FIS). Shortest path is found by visibility graph method. This path is redefined to form a multi-constrained non-linear global optimization problem. This problem is solved by DE-FIS. FIS is used to learn the kinematics of the MR. Experiments are successfully implemented on Nomad 200.
| Original language | English |
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| Pages | 764-769 |
| Number of pages | 6 |
| Publication status | Published - 2002 |
| Event | Proceedings of the 2002 IEEE International Symposium on Intelligent Control - Vancouver, Canada Duration: 27 Oct 2002 → 30 Oct 2002 |
Conference
| Conference | Proceedings of the 2002 IEEE International Symposium on Intelligent Control |
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| Country/Territory | Canada |
| City | Vancouver |
| Period | 27/10/02 → 30/10/02 |
Keywords
- Mobile robots
- Optimization
- Trajectory