Safety is an important consideration in human-robot interactions (HRI). Robots can perform
powerful movements that can cause hazards to humans surrounding them. To prevent …

This paper presents an investigation of odor localization by groups of autonomous mobile
robots. First, we describe a distributed algorithm by which groups of agents can solve the full …

Two major goals in machine learning are the discovery and improvement of solutions to
complex problems. In this paper, we argue that complexification, ie the incremental …

Mobile robots are valuable tools for education because of both the enthusiasm they raise
and the multidisciplinary nature of robotics technology. Mobile robots give access to a wide …

The problem of the validity of simulation is particularly relevant for methodologies that use
machine learning techniques to develop control systems for autonomous robots, as, for …

This article demonstrates the advantages of a cooperative, coevolutionary search in difficult
control problems. The symbiotic adaptive neuroevolution (SANE) system coevolves a …

In this paper we describe the evolution of a discrete-time recurrent neural network to control
a real mobile robot. In all our experiments the evolutionary procedure is carried out entirely …

The paper describes the results of the evolutionary development of a real, neural-network
driven mobile robot. The evolutionary approach to the development of neural controllers for …

In this book the use of ER techniques for the design of self-organising group behaviours, for
both simulated and real robots is introduced. This research has a twofold value. From an …

In this paper, we present a time-discrete, incremental methodology for modeling, at the
microscopic and macroscopic levels, the dynamics of distributed manipulation experiments …