Evolution of collective behavior in a team of physically linked robots

Authors:
Gianluca Baldassarre;Stefano Nolfi;Domenico Parisi
Affiliations:
Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy;Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy;Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy
Venue:
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Year:
2003

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Abstract

In this paper we address the problem of how a group of four assembled simulated robots forming a linear structure can co-ordinate and move as straight and as fast as possible. This problem is solved in a rather simple and effective way by providing the robots with a sensor that detects the direction and intensity of the traction that the turret exerts on the chassis of each robot and by evolving their neural controllers. We also show how the evolved robots are able to generalize their ability in rather different circumstance by: (a) producing co-ordinated movements in teams with varying size, topology, and type of links; (b) displaying individual or collective obstacle avoidance behaviors when placed in an environment with obstacles; (c) displaying object pushing/pulling behavior when connected to or around a given object.