Editors
Jonas Buchli
Document Type
Chapter
Publication Date
12-2006
Publication Title
Mobile Robots, Moving Intelligence
Publisher
Advanced Robotic Systems International; pro literatur Verlag
First page number:
175
Last page number:
200
Abstract
Autonomous vehicles have potential applications in many fields, such as replacing humans in hazardous environments, conducting military missions, and performing routine tasks for industry. Driving ground vehicles is an area where human performance has proven to be reliable. Drivers typically respond quickly to sudden changes in their environment. While other control techniques may be used to control a vehicle, fuzzy logic has certain advantages in this area; one of them is its ability to incorporate human knowledge and experience, via language, into relationships among the given quantities. Fuzzy logic controllers for autonomous vehicles have been successfully applied to address various (and sometimes simultaneous) navigational issues.
Keywords
Fuzzy logic; Mobile robotics; Mobile robots; Vehicles – Automatic control
Disciplines
Artificial Intelligence and Robotics | Computer-Aided Engineering and Design | Computer Engineering | Computer Sciences | Controls and Control Theory | Mechanical Engineering | Robotics
Language
English
Permissions
Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.
Repository Citation
Trabia, M.,
Shi, L. Z.,
Hodge, N. E.
(2006).
A Fuzzy Logic Controller for Autonomous Wheeled Vehicles. In Jonas Buchli,
Mobile Robots, Moving Intelligence
175-200.
Advanced Robotic Systems International; pro literatur Verlag.
https://digitalscholarship.unlv.edu/me_fac_articles/36
Included in
Artificial Intelligence and Robotics Commons, Computer-Aided Engineering and Design Commons, Controls and Control Theory Commons, Robotics Commons
Comments
Copyright 2006 Advanced Robotic Systems International. Reprinted with permission.