Abstract— For mobile robots, as well as other learning systems, the ability to highlight unexpected features of their environment – novelty detection – is very useful. One pa...
Paul A. Crook, Stephen Marsland, Gillian Hayes, Ul...
This paper presents a description of an interactive satellite TV based mobile learning (STV-ML) framework, in which a satellite TV station is used as an integral part of a comprehe...
Mobile adaptive networks consist of a collection of nodes with learning and motion abilities that interact with each other locally in order to solve distributed processing and dis...
Abstract. This paper presents Webots: a realistic mobile robot simulator allowing a straightforward transfer to real robots. The simulator currently support the Khepera mobile robo...
Advances in Internet and network technology and the rapidly growing number of mobile personal devices result in the fast growth of Mobile E-Commerce, M-Commerce. In this paper we v...
Aphrodite Tsalgatidou, Jari Veijalainen, Jouni Mar...