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Constraints on Body Movement during Visual Development Affect Behavior of Evolutionary Robots

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Evolving Vision-based Flying Robots

Dario Floreano, Jean-Christophe Zufferey

We describe a new experimental approach whereby an indoor flying robot evolves the ability to navigate in a textured room using only visual information and neuromorphic control. The architecture of a spiking neural circuit, which is connected to the vision ...

2002

Evolutionary Robotics. The Biology, Intelligence, and Technology of Self-organizing Machines

Dario Floreano

Evolutionary robotics is a new technique for the automatic creation of autonomous robots. Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as autonomous artificial organisms that develop their own skills in clos ...

MIT Press2001

Evolutionary Robots with Fast Adaptive Behavior in New Environments

Dario Floreano, Joseba Urzelai

This paper is concerned with adaptation capabilities of evolved neural controllers. A method consisting of encoding a set of local adaptation rules that synapses obey while the robot freely moves in the environment [6] is compared to a standard fixed-weigh ...

2000

Evolutionary Robots with on-line self-organization and behavioral fitness

Dario Floreano, Joseba Urzelai

We address two issues in Evolutionary Robotics, namely the genetic encoding and the performance criterion, also known as fitness function. For the first aspect, we suggest to encode mechanisms for parameter self-organization, instead of the parameters them ...

2000

Artificial Evolution of Adaptive Software: An Application to Autonomous Robots

Dario Floreano, Joseba Urzelai

Artificial evolution of computer software (evolutionary neural networks, genetic programming, evolutionary fuzzy systems, etc.) has been shown to generate software that in many cases is more performant than that designed by engineers. Evolved software perf ...

2000

Evolutionary Robotics: The Next Generation

Dario Floreano, Joseba Urzelai

After reviewing current approaches in Evolutionary Robotics, we point to directions of research that re likely to bring interesting results in the future. e then address two crucial aspects for future developments of Evolutionary Robotics: choice of fitnes ...

AAI Books2000

Evolutionary Neurocontrollers for Autonomous Mobile Robots

Dario Floreano, Francesco Mondada

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 ...

1998

Hardware Solutions for Evolutionary Robotics

Dario Floreano, Francesco Mondada

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 ...

Springer1998

Evolutionary Re-Adaptation of Neurocontrollers in Changing Environments

Dario Floreano

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 ...

1996

How to Evolve Autonomous Robots: Different Approaches in Evolutionary Robotics

Dario Floreano, Francesco Mondada

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 ...

MA: MIT Press1994