Deep reinforcement learning (DRL) has been successfully applied to end-to-end
autonomous driving, especially in simulation environments. However, common DRL …

Reinforcement learning schemes perform direct on-line search in control space. This makes
them appropriate for modifying control rules to obtain improvements in the performance of a …

As the complexity of the missions to planetary surfaces increases, so too does the need for
autonomous rover systems. This need is complicated by the power, mass and computer …

During the last decade the human behaviour and human imitating processing methods have
become of central interest through the scienti c community. The development of methods …

As the complexity of the missions to planetary surfaces increases, so too does the need for
autonomous operation of the rover systems. This is coupled with the power, weight and …

This dissertation presents a two level architecture for goal-directed robot control. The low
level actions are learned on-line as the robot performs its tasks, thereby reducing the need …

In this article, visual data obtained by a binocular active vision system is integrated, together
with ultrasonic range measurements, in the development of a obstacle detection and …

In this article, visual data obtained by a binocular active vision system is integrated, together
with ultrasonic range measurements, in the development of an obstacle detection and …

The avoidance of static obstacles is relatively easy to implement as an animat behaviour,
even where the animat receives realisticsensory'input from the environment (eg, simulated …

Many two layer robot architectures have been proposed and implemented. While
justification for the design can be well argued, how does one know it is really a good idea …