Genetic network programming-reinforcement learning based safe and smooth mobile robot navigation in unknown dynamic environments
Aims: The aims of this study were to identify the Fusarium isolates based on translation elongation factor (tef) 1α sequence, to determine the genetic diversity among isolates and species using selected microsatellite markers and to examine the pathogenicity of Fusarium isolates causing fruit rot di...
Saved in:
Main Authors: | Findi, Ahmed H. M., Marhaban, Mohammad Hamiruce, Raja Ahmad, Raja Mohd Kamil, Hassan, Mohd Khair |
---|---|
Format: | Article |
Language: | English |
Published: |
Asian Research Publication Network
2017
|
Online Access: | http://psasir.upm.edu.my/id/eprint/61954/1/Genetic%20network%20programming-reinforcement%20learning%20based%20safe%20and%20smooth%20mobile%20robot%20navigation%20in%20unknown%20dynamic%20environments.pdf http://psasir.upm.edu.my/id/eprint/61954/ http://www.jatit.org/volumes/ninetyfive11.php |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Collision prediction based genetic network programming-reinforcement learning for mobile robot navigation in unknown dynamic environments
by: Findi, Ahmed H. M., et al.
Published: (2017) -
Mobile robot safe navigation in unknown environment
by: Shayestegan, Mohsen, et al.
Published: (2012) -
Collision prediction based q-learning for mobile robot navigation in unknown dynamic environments
by: Findi, Ahmed H. M., et al.
Published: (2017) -
Automatic navigation of mobile robots in unknown environments
by: Motlagh, Omid Reza Esmaeili, et al.
Published: (2014) -
Automatic Navigation of Mobile Robots in Unknown Environments
by: motlagh, o, et al.
Published: (2013)