Title :
Autonomous mobile robot navigation using a dual artificial neural network
Author_Institution :
Dept. of Electr. Eng., Univ. of Indonesia, Depok, Indonesia
Abstract :
This paper deals with an intelligent control of an autonomous mobile robot which should move safely in an environment to find a target. We describe our approach to solve the motion-planning problem in mobile robot control using artificial neural networks technique. The algorithm constructs a collision-free path for moving robot among obstacles based on two neural networks. The first neural network is used to determine the free space needed to avoid obstacles. The second neural network is used to navigate robot into target. Simulation examples is presented at the end of the paper.
Keywords :
collision avoidance; mobile robots; neurocontrollers; collision-free path planning; dual artificial neural network; intelligent control; mobile robot navigation; motion-planning problem; obstacle avoidance; Artificial neural networks; Intelligent robots; Mobile robots; Navigation; Neural networks; Orbital robotics; Position measurement; Robot control; Robot sensing systems; Velocity measurement; algorithm; autonomous; dual ann; mobile robot; navigation; obstacle avoidance; simulation;
Conference_Titel :
TENCON 2009 - 2009 IEEE Region 10 Conference
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-4546-2
Electronic_ISBN :
978-1-4244-4547-9
DOI :
10.1109/TENCON.2009.5395892