Online robot tracking using genetic algorithms
This paper presents the applicability of using genetic algorithm (GA) for robot tracking inside a predefined environment in real time. GA is used to determine the position of a moving robot inside the soccer robot field. A proposed new crossover algorithm is presented. A video file and an image cont...
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| Main Authors: | , |
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| Format: | text |
| Published: |
Animo Repository
2002
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/3367 |
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| Institution: | De La Salle University |
| Summary: | This paper presents the applicability of using genetic algorithm (GA) for robot tracking inside a predefined environment in real time. GA is used to determine the position of a moving robot inside the soccer robot field. A proposed new crossover algorithm is presented. A video file and an image containing the robot's physical appearance (robot template) are inputs to the system. Experimental results show that GA is able to locate the robot. |
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