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

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

The autonomous navigation of a Mobile Robot (MR) in unknown environments populated by abundance of static and dynamic obstacles with a moving target have tremendous importance in real time applications. The ability of an MR to navigate safely, smoothly, and quickly in such environment is cruci...

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Bibliographic Details
Main Author:	Mohammed, Ahmed Hassan
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Robots - Control Mobile robots
Online Access:	http://psasir.upm.edu.my/id/eprint/68583/ http://psasir.upm.edu.my/id/eprint/68583/1/FK%202018%2040.pdf

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