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Evolution of Plastic Control Networks

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Robust Distributed Coverage using a Swarm of Miniature Robots

Alcherio Martinoli, Nicolaus Correll

For the multi-robot coverage problem deterministic deliberative as well as probabilistic approaches have been proposed. Whereas deterministic approaches usually provide provable completeness and promise good performance under perfect conditions, probabilis ...

2007

Human-Robot Teaming for Search and Rescue

This work establishes an architecture for Urban Search and Rescue and a methodology for mixing real-world and simulation-based testing. A sensor suite and sensor fusion algorithm for robust victim detection permits aggregation of sensor readings from vario ...

2005

Evolution of Embodied Intelligence

Dario Floreano, Francesco Mondada, Andres Perez-Uribe, Daniel Roggen

We provide an overview of the evolutionary approach to the emergence of artificial intelligence in embodied behavioral agents. This approach, also known as Evolutionary Robotics, builds and capitalizes upon the interactions between the embodied agent and i ...

Springer Verlag2004

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 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 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 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