TY  - EJOU
AU  - Farkh, Rihem 
AU  - jaloud, Khaled Al 
AU  - Alhuwaimel, Saad 
AU  - Quasim, Mohammad Tabrez 
AU  - Ksouri, Moufida 

TI  - A Deep Learning Approach for the Mobile-Robot Motion Control System
T2  - Intelligent Automation \& Soft Computing

PY  - 2021
VL  - 29
IS  - 2
SN  - 2326-005X

AB  - A line follower robot is an autonomous intelligent system that can detect and follow a line drawn on floor. Line follower robots need to adapt accurately, quickly, efficiently, and inexpensively to changing operating conditions. This study proposes a deep learning controller for line follower mobile robots using complex decision-making strategies. An Arduino embedded platform is used to implement the controller. A multilayered feedforward network with a backpropagation training algorithm is employed. The network is trained offline using Keras and implemented on a ATmega32 microcontroller. The experimental results show that it has a good control effect and can extend its application.
KW  - Neural control system; real-time implementation; navigation environment; and mobile robots

DO  - 10.32604/iasc.2021.016219