Sensor-Based Mobile Robot Navigation via Deep Reinforcement Learning

2018 ◽  
Author(s):  
Seung-Ho Han ◽  
Ho-Jin Choi ◽  
Philipp Benz ◽  
Jorge Loaiciga
Keyword(s):  
Reinforcement Learning ◽  
Mobile Robot ◽  
Robot Navigation ◽  
Mobile Robot Navigation

Genetic Q-Fuzzy Based Intelligent Control for Mobile Robot Navigation

2004 ◽  
Author(s):  
V. Ram Mohan Parimi ◽  
Devendra P. Garg
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Reinforcement Learning ◽  
Mobile Robot ◽  
Fuzzy Logic Controller ◽  
Learning Algorithm ◽  
Robot Navigation ◽  
Path Tracking ◽  
Mobile Robot Navigation ◽  
Reinforcement Learning Algorithm

This paper deals with the design and optimization of a Fuzzy Logic Controller that is used in the obstacle avoidance and path tracking problems of mobile robot navigation. The Fuzzy Logic controller is tuned using reinforcement learning controlled Genetic Algorithm. The operator probabilities of the Genetic Algorithm are adapted using reinforcement learning technique. The reinforcement learning algorithm used in this paper is Q-learning, a recently developed reinforcement learning algorithm. The performance of the Fuzzy-Logic Controller tuned with reinforcement controlled Genetic Algorithm is then compared with the one tuned with uncontrolled Genetic Algorithm. The theory is applied to a two-wheeled mobile robot’s path tracking problem. It is shown that the performance of the Fuzzy-Logic controller tuned by Genetic Algorithm controlled via reinforcement learning is better than the performance of the Fuzzy-Logic controller tuned via uncontrolled Genetic Algorithm.

scholarly journals Reinforcement learning-based mobile robot navigation

2016 ◽  
Vol 24 ◽  
pp. 1747-1767 ◽  
Author(s):  
Nihal ALTUNTAŞ ◽  
Erkan İMAL ◽  
Nahit EMANET ◽  
Ceyda Nur ÖZTÜRK
Keyword(s):  
Reinforcement Learning ◽  
Mobile Robot ◽  
Robot Navigation ◽  
Mobile Robot Navigation
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