Abstract
At present, the control loops of moving platforms are designed on the base of fuzzy control theory. Especially path searching in a 2D changing environment has received considerable attention as a part of the general problem of robot motion planning. A particularly interesting problem in this context is path planning with respect to a moving object. The design of such intelligent guided vehicles needs capabilities for environment recognition and motion planning. 1, 2, 3 Nowadays, fuzzy control is a promising technique for intelligent system design. 4, 5, 6 The most important feature of this method is that it eliminates the difference between goals and constraints and makes it possible to relate them in the decision-making process. 7 This paper presents a fuzzy control method for autonomous guided vehicle, which tracks an object in 3D space.
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 callMore From: Information & Security: An International Journal
Disclaimer: 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.
