Computer Science – Robotics
Scientific paper
2009-06-26
Computer Science
Robotics
This paper was published in Proceedings of Pak-US International Symposium on High Optical Networks and Enabling Technologies (
Scientific paper
The basic idea behind evolutionary robotics is to evolve a set of neural controllers for a particular task at hand. It involves use of various input parameters such as infrared sensors, light sensors and vision based methods. This paper aims to explore the evolution of vision based navigation in a mobile robot. It discusses in detail the effect of different field of views for a mobile robot. The individuals have been evolved using different FOV values and the results have been recorded and analyzed.The optimum values for FOV have been proposed after evaluating more than 100 different values. It has been observed that the optimum FOV value requires lesser number of generations for evolution and the mobile robot trained with that particular value is able to navigate well in the environment.
Khan Rizwan A.
Qureshi Muhammad Aasim
Saeed Saqib
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