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.
We are developing a remote visitor robot which is shown in Fig.1. We can visit an aged care center or an office from a remote place through Internet as if we ride in the robot. Our faces are shown in PC display. We communicate through Skype (TV phone system). The robot is constructed of a mobile wagon, PC for wagon control, and PC for TV phone. The controller software is a multi-agent system which...
A new algorithm based on modified particle swarm optimization (MPSO) which follows a local gradient of the chemical concentration within a plume and follow direction of the wind velocity is investigated. Moreover, the niche or parallel search characteristic is adopted on MPSO to solve the multi-peak and multi-source problem. When using parallel MPSO, subgroup of robot is introduced then each subgroup...
This paper deals with a self-deployment of the mobile sensor network in an unknown environment. A mobile sensor network is composed of distributed collection of nodes, each of which has sensing, computation, communication and locomotion capabilities. Such a network is capable of self-reconfiguration of the network topology in order to gather distributed information on the dynamic environment. We propose...
This paper provides a combination of chemotaxic and anemotaxic modeling, known as odor-gated rheotaxis (OGR), to solve real-world odor source localization problems. Throughout the history of trying to mathematically localize an odor source, two common biometric approaches have been used. The first approach, chemotaxis, describes how particles flow according to local concentration gradients within...
This paper presents a problem of odor source localization in a dynamic environment, which means the odor distribution is changing over time. Odor source localization is an interesting application in dynamic problems. Modified particle swarm optimization is a well-known algorithm, which can continuously track a changing optimum over time. PSO can be improved or adapted by incorporating the change detection...
The odor distribution advection-diffusion environments in obstacle environment have been developed. In real world the odor distribution are changing over time and multi peaks especially in obstacle environments. The purpose of developing this environment is to bridge the gap between the very complex hard to understand real-world problem (odor dispersion model) and all too simple toy problems (dynamic...
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.