CAM-Brain is the model to create neural networks based on cellular automata, and ®nally aims at developing an arti®cial brain. In particular, this model can rapidly evolve the neural networks composed of several thousand modules with special purpose computers such as CAM-8 at MIT and CBM at ATR. This paper attempts to evolve a module of CAM-Brain for the problem to control a mobile robot, espec...

the in-situ method of synthesis has been used to isolate oxovanadium(iv) complexes with ligands derived by reaction of benzil with amino acids such as glycine, alanine, serine, cysteine and valine, where template effect of vo +2 cation appears to play an important role. the complexes are characterised by elemental analysis, magnetic moment measurements and spectral (infrared, electronic and ele...

It is considered a difficult task to design a controller from scratch for a robot in a dynamic environment. Evolutionary and genetic algorithms are frequently used to find a solution with desired properties. The evolution is supposed to run on one robot or agent processor. In this article we explore the possibility of dividing the genome among several robots. Robots exchange among each other su...

Computation of a collision-free path for a movable object among obstacles is an important problem in the fields of robotics. The simplest version of motion planning consists in generating a collisionfree path for a movable object among known and static obstacles. In this paper, we introduce a two stages evolutionary algorithm. The first stage is designed to compute a collission-free path in a k...

The pitfalls of naive robot simulations have been recognised for areas such as evolutionary robotics. It has been suggested that carefully validated ispell slides.tex simulations with a proper treatment of noise may overcome these problems. This paper reports the results of experiments intended to test some of these claims. A simulation was constructed of a two-wheeled Khepera robot with IR and...

In this article we present two algorithms, for reducing the effects of control-space quantisation errors on a Khepera mobile robot. Specifically, we consider that control-space quantisation is present, when there is only a finite set of available robot wheels velocities. Thus the velocities of the robot wheels can not be chosen from any point in a continuous set. The first algorithm can be used...

Evolution-in-materio is a method that uses artificial evolution to exploit properties of materials to solve computational problems without requiring a detailed understanding of such properties. In this paper, we show that using a purpose-built hardware platform called Mecobo, it is possible to evolve voltages and signals applied to physical materials to solve two computational problems: classif...

Tangible agent (TA) is a new medium that communicates the senses of sight, hearing, touch, smell, and taste of human to computer. Intelligent behavior is a key property to realize the agent because it must interact with human to grasp all the information. We have adopted behavior-based approach for high-level hehaviors such as navigation of office, conversation with human, and cleaning of room....

In this paper we present the development of a method that combines the evolutionary robotics approach with action selection. A collection task is set in an arena where a Khepera robot has to collect cylinders that simulate food. Furthermore, two basic motivations, labeled as ‘fear’ and ‘hunger’, both affect the selection of the behavioral repertoire. In this paper we propose an initial evolutio...