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Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Publications associées (34)

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Evolving Neural Controllers for Collective Robotic Inspection

Alcherio Martinoli

In this paper, an automatic synthesis methodology based on evolutionary computation is applied to evolve neural controllers for a homogeneous team of miniature autonomous mobile robots. Both feed-forward and recurrent neural networks can be evolved with fi ...

2006

Multi-cellular reconfigurable circuits

Daniel Roggen

Bio-inspired electronic circuits have the potential to address some of the shortcomings of conventional electronic circuits, such as lack of applicability to ill-defined problems, of robustness, or of adaptivity to unexpectedly changing environments. Bio-i ...

EPFL2005

Evolving a cooperative transport behavior for two simple robots

Roderich Gross

This paper addresses the problem of cooperative transport of an object by a group of two simple autonomous mobile robots called s-bots. S-bots are able to establish physical connections between each other and with an object called the prey. The environment ...

Springer Verlag2004

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

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

Learning and Evolution

Dario Floreano

In the last few years several researchers have resorted to artificial evolution (e.g. genetic algorithms) and learning techniques (e.g. neural networks) for studying the interaction between learning and evolution. These studies have been conducted for two ...

1999

Evolution of Adaptive-Synapse Controllers

Dario Floreano, Joseba Urzelai

This paper is concerned with artificial evolution of neuro-controllers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype a set of local modification rules that synapses obey while the robot freely moves in ...

1999

Incremental Evolution with Minimal Resources

Dario Floreano, Joseba Urzelai

This paper describes an evolutionary algorithm based on a statistical representation of populations of individuals. Experiments on robot navigation and on numerical fitness functions are presented in order to measure the performance of the algorithm compar ...

1999