The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The design of obstacle avoidance system for automated guided vehicles (AGVs) is widely known as a challenging task. This paper addresses this issue by exploiting a novel approach to combine the fuzzy logic control and conventional PID control into the controller design. Such dual-mode design can significantly promote the real-time performance of the obstacle avoidance system and effectively eliminate...
The primary focus of this work is exploitation of an intelligent control scheme to carry out deviation-correcting control for automated guided vehicles (AGVs). The proposed solution aims to be less sensitive to the parameter uncertainty, load and parameter variations, as well as meet the real-time requirement. This paper describes the deviation-correcting (position deviation and orientation deviation)...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.