@inproceedings{bbd759c2e7084c0f9c1eaf1a5e3f7558,
title = "A mobile robot obstacle avoidance using fuzzy logic and model predictive control",
abstract = "This paper presents a method of solving the problem of mobile robot Obstacle avoidance and path planning in an unknown dynamic environment. A linear model of the two-wheeled nonholonomic robot controlled using Model predictive control controller. For obstacle avoidance Fuzzy logic control is used. The ultrasonic sensors are used for positioning and identifying an obstacle. The proposed method is successfully tested in simulations. Obstacle avoiding technique is very useful in real life, this technique can also use as a vision belt of blind people by changing the IR sensor by a kinetic sensor,which is on type of microwave sensor whose sensing range is very high and the output of this sensor vary in according to the object position changes.",
keywords = "Fuzzy logic, Model predictive controller, Obstacle avoidance",
author = "Bayanjargal Baasandorj and Aamir Reyaz and Ho, \{Park Joung\} and Cheol, \{Cha Wang\} and Lee, \{Deok Jin\} and Chong, \{Kil To\}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.548-549.922",
language = "English",
isbn = "9783038350842",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications",
pages = "922--927",
booktitle = "Achievements in Engineering Sciences",
note = "3rd International Conference on Manufacturing Engineering and Process, ICMEP 2014 ; Conference date: 10-04-2014 Through 11-04-2014",
}