One of the long-term goals in evolutionary robotics is to be able to automatically synthesize
controllers for real autonomous robots based only on a task specification. While a number of …

The study investigates the impact of weblog use on individual learning in a university
environment. Weblogs are a relatively new knowledge sharing technology, which enables …

Neuromodulation is a biologically-inspired technique that can adapt the per-connection
learning rates of synaptic plasticity. Neuromodulation has been used to facilitate …

In this work, we present a collision avoidance technique for a crowd robust navigation of
individuals in evacuation which is a good example of a complex system. The proposed …

Online evolution of controllers on real robots typically requires a prohibitively long evolution
time. One potential solution is to distribute the evolutionary algorithm across a group of …

Online evolution of controllers on real robots typically requires a prohibitively long time to
synthesise effective solutions. In this paper, we introduce two novel approaches to …

This paper presents a novel evolutionary multiobjective neurocontroller with unsupervised
learning and Lamarckian inheritance for robot navigation. Multiobjective evolution of …

Autonomous vehicles in the pursuit-evasion game, subject to the effects of mass and drag,
are controlled using an evolutionary multiobjective neuromodulated controller with …

Often in multi-objective problems, several elemental objectives are combined into
compound objectives by using auxiliary equations to reduce these problems to just one or …

In this paper, we introduce online hyper-evolution (OHE) to accelerate and increase the
performance of online evolution of robotic controllers. Robots executing OHE use the …