Legged robots show promise for complex mobility tasks, such as navigating rough terrain,
but the design of their control software is both challenging and laborious. Traditional …

This paper investigates how an evolutionary algorithm with an indirect encoding exploits the
property of phenotypic regularity, an important design principle found in natural organisms …

A completely stepwise online pedipulation planning method is proposed. It is an analytical
approach based on the general solution of the equation of motion of an approximate …

HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the
unique and powerful ability to exploit the geometry of a problem (eg, symmetries) by …

In this text we look to the past to two distinct strands of research into autonomous robots,
evolutionary robotics and humanoid robot research, and how these strands are now …

Генетические алгоритмы являются одним из бурно развивающихся и перспективных
направлений в искусственном интеллекте и программировании. С их помощью могут …

In this dissertation I investigate the difference between generative encodings and direct
encodings for evolutionary algorithms. Generative encodings are inspired by developmental …

As a contribution toward the objective of developing useful walking machines, this
dissertation considers solutions to some of the problems involved with bipedal robot …

The animation of virtual characters is a process that although supported by various software
and hardware can be tedious and costly especially when the character to animate is very …

The use of artificial evolution to synthesize controllers for physical robots is still in its infancy.
Most applications are on very simple robots in artificial environments, and even these …