— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
When visualising datasets that are too large to be displayed in their entirity, interactive navigation is a common solution. However, instantaneous updates of the visualisation wh...
—The purpose of this paper is to present an initial delineation of the inherent components required for unmanned vehicles to possess situation awareness. A broadly adapted human ...
The paper describes the design of FAME (Flexible Access Middleware Extension) architecture aimed at providing multi-level user authentication service for Shibboleth, which is endo...
Aleksandra Nenadic, Ning Zhang, Jay Chin, Carole A...
Abstract— This paper presents a learning system that uses Qlearning with a resource allocating network (RAN) for behavior learning in mobile robotics. The RAN is used as a functi...