This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse informat...
Deductive, mode-estimation has become an essential component of robotic space systems, like NASA's deep space probes. Future robots will serve as components of large robotic ...
In this paper, we propose a peer-to-peer approach to derive and obtain additional context data from lowlevel context data that may be spread over multiple domains in pervasive com...
Our fundamental objective is to tackle the problem faced in the field of information retrieval and classification in the current era of information overflow by proposing better an...
Recently, active networks have been highlighted as a key enabling technology to obtain immense flexibility in terms of network deployment, configurability, and packet processing. E...
Long Le, Henning Sanneck, Georg Carle, Tohru Hoshi