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Abstract: The basic idea behind evolutionary robotics is to evolve a set of neuralcontrollers for a particular task at hand. It involves use of various inputparameters such as infrared sensors, light sensors and vision based methods.This paper aims to explore the evolution of vision based navigation in a mobilerobot. It discusses in detail the effect of different field of views for amobile robot. The individuals have been evolved using different FOV values andthe results have been recorded and analyzed.The optimum values for FOV havebeen proposed after evaluating more than 100 different values. It has beenobserved that the optimum FOV value requires lesser number of generations forevolution and the mobile robot trained with that particular value is able tonavigate well in the environment.



Autor: Rizwan A. Khan, M. Aasim Qureshi, Saqib Saeed

Fuente: https://arxiv.org/







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