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In robotics we depend on software tools during design, modeling, programming and testing. These tools are essentials, often indispensable aids for developing and operating sophisticated robotic systems. At the same time, these tools are complex and usually ...
Evolutionary robotics - as other adaptive methods, such as reinforcement learning and learning classifier systems - can take considerable time and resources which require a careful evaluation of the hardware tools and methodologies employed. We outline a s ...
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 on the physical robot without human intervention. We show that the ...
Evolutionary robotics is an interesting novel approach to shape the control system of autonomous robots. This explores issues related to re-adaptation in changed environments of a population of evolved individuals. Experimental studies are reported for gen ...
A methodology for evolving the control systems of autonomous robots has not yet been well established. In this paper we will show different examples of applications of evolutionary robotics to real robots by describing three different approaches to develop ...
In this article we describe a methodology for evolving neurocontrollers of autonomous mobile robots without human intervention. The presentation, which spans from technological and methodological issues to several experimental results on evolution of physi ...
A method for combining image synthesis and modeling based on a finite element method (FEM) to get realistic intelligent images is presented. FEM is used for modeling both elastically and plastically, deformations of objects and impacts with or without pene ...
