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Collision prediction based genetic network programming-reinforcement learning for mobile robot navigation in unknown dynamic environments

The problem of determining a smooth and collision-free path with maximum possible speed for a Mobile Robot (MR) which is chasing a moving target in a dynamic environment is addressed in this paper. Genetic Network Programming with Reinforcement Learning (GNP-RL) has several important features over o...

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Bibliographic Details
Main Authors: Findi, Ahmed H. M., Marhaban, Mohammad Hamiruce, Raja Ahmad, Raja Mohd Kamil, Hassan, Mohd Khair
Format: Article
Language:English
Published: Korean Institute of Electrical Engineers 2017
Online Access:http://psasir.upm.edu.my/id/eprint/61141/1/Collision%20prediction%20based%20genetic%20network%20programming-reinforcement%20learning%20for%20mobile%20robot%20navigation%20in%20unknown%20dynamic%20environments.pdf
http://psasir.upm.edu.my/id/eprint/61141/
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http://psasir.upm.edu.my/id/eprint/61141/1/Collision%20prediction%20based%20genetic%20network%20programming-reinforcement%20learning%20for%20mobile%20robot%20navigation%20in%20unknown%20dynamic%20environments.pdf
http://psasir.upm.edu.my/id/eprint/61141/

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