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.
This paper describes a method for Event handling on Robot Town platform and its application by using a wheelchair robot. To enable a sharable personal mobility robot system by using a motorized wheelchair on the market, vision sensors and RFID tags are distributed and are connected to a network. Sensor data are used by the robot for not only the event to perform self-localization but also the event...
We propose an object tracking system for a service robot working in an everyday environment. The system is composed of an intelligent cabinet, a floor sensing system and a data management system. The position of an object can be classified into three areas: 1) in/on furniture, 2) on the floor, 3) held by a human or a robot. Being equipped with a RFID reader and loadcells, the intelligent cabinet measures...
This paper describes a platform of ambient intelligence for robots working in an ordinary environment for daily human life. To enable autonomous robotic activities, vision sensors and RFID tags are distributed in the environment and are connected to a network. The data from distributed sensors are integrated, and are provided to robots to support their activities. Based on the analysis of sensor functions...
This paper proposes a method for the self-localization of a mobile robot using a passive radio frequency identification (RFID) system and support vector machines (SVMs). Using the SVM, we do not need to perform any complicated tasks for measuring the geometric position of each RFID tags to produce a look-up table as used by conventional self-localization methods. Moreover, the method works even when...
This paper describes a new approach to an intelligent robot working within an ordinary environment for daily human life. To enable autonomous robotic activities in such environment, vision sensors and RFID tags are distributed in the environment and are connected to a network. The real-time data from sensors and robots are integrated by a management system together with GIS and other database. Being...
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.