Abstract
This paper presents a behavior fuzzy coordination scheme for a mobile robot platform. The control architecture is composed of three basic behaviors: obstacle avoidance, left wall following and left wall following. The mechanism of fusion behavior was performed on a weighting system that acquires information from the environment and calculates fuzzy dynamic weighting factors adjusted to the region in which the robot travels. These factors influence the output of each behavior giving strength to the most appropriate action according to the current situation of the environment. Subsequently, the weighted outputs of each behavior are normalized by the command fusion, achieving a cooperative solution to meeting the robot navigation target.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
