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Active Vision and Receptive Field Development in Evolutionary Robots

Publications associées (67)

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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

On the Origin of Environments by Means of Natural Selection

The field of adaptive robotics involves simulations and real-world implementations of robots that adapt to their environments. In this article, I introduce adaptive environmentics -- the flip side of adaptive robotics -- in which the environment adapts to ...

2002

Active Vision and Feature Selection in Evolutionary Behavioral Systems

Dario Floreano

We describe an evolutionary approach to active vision systems for dynamic feature selection. After summarizing recent work on evolution of a simulated active retina for complex shape discrimination, we describe in detail experiments that extend this approa ...

2002

Neural Synthesis of Artificial Organisms through Evolution

Dario Floreano

Evolutionary robotics is the attempt to develop robots through a self-organized process based on artificial evolution. This approach stresses the importance of the study of systems that have a body and that are situated in a physical environment, and which ...

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

Neural Morphogenesis, Synaptic Plasticity, and Evolution

Dario Floreano, Joseba Urzelai

Morphology plays an important role in the computational properties of neural systems, affecting both their functionality and the way in which this functionality is developed during life. In computer-based models of neural networks, artificial evolution is ...

2001

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