Paper Info
Title
The evolution of signal communication for the e-puck robot
Abstract
In this paper we report our experiments with the e-puck robots for developing a communication system using evolutionary robotics. In order to do the latter we follow the evolutionary approach by using Neural Networks and Genetic Algorithms. The robots develop a communication scheme for solving tasks like: locating food areas, avoiding obstacles, approaching light sources and locating sound-sources (other robots emitting sounds). Evorobot* and Webots simulators are used as tools for computing the evolutionary process and optimization of the weights of neural controllers. As a consequence, two different kinds of neural controllers emerge. On one hand, one controller is used for robot movement; on the other hand the second controller process sound signals.
Year
DOI
Venue
2011
10.1007/978-3-642-25324-9_40
MICAI
Keywords
Field
DocType
genetic algorithms,neural controller,signal communication,webots simulator,evolutionary process,neural networks,evolutionary robotics,controller process sound signal,e-puck robot,communication system,communication scheme,evolutionary approach,mobile robots
Robot control,Control theory,Evolutionary robotics,Computer science,Communications system,Artificial intelligence,Robot,Artificial neural network,Mobile robot,Genetic algorithm
Conference
Volume
ISSN
Citations 
7094
0302-9743
4
PageRank 
References 
Authors
0.55
6
2
Name
Order
Citations
PageRank
Fernando Montes-Gonzalez1123.89
Fernando Aldana-Franco240.55