In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
— This paper describes the prey-predator multiagent hich can be considered as an abstraction of more complex real-world models. Both the prey and the predators are considered as ...
Abstract— The latest technological progress in sensors, actuators and energy storage devices enables the developments of miniature VTOL1 systems. In this paper we present the res...
This paper is about the design of an artificial neural network to control an autonomous robot that is required to iteratively solve a discrimination task based on time-dependent s...
After having designed control systems for real autonomous cars in an urban environment using straight lines as reference [2], we are now trying to build a fuzzy control system base...