DocumentCode
1628333
Title
Design of collision avoidance system for a chicken robot based on fuzzy relation equations
Author
Gribovskiy, Alexey ; Mondada, Francesco
Author_Institution
Lab. de Syst. Robotiques (LSRO), Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
fYear
2009
Firstpage
1851
Lastpage
1856
Abstract
Design and study of mixed animal-robot societies are the fields of scientific exploration that can bring new opportunities for research into the group behavior of social animals. Our goal is to develop a chicken robot - an autonomous mobile robot, socially acceptable by a group of chicks and able to interact with them using appropriate communication channels. One of the basic requirements to such a robot is the safety of its motion with respect to the chicks, so it has to be endowed with an efficient real-time collision avoidance system. In this paper we present a fuzzy obstacle avoidance system that was designed for the chicken robot using the theory of fuzzy relation equations. This approach allows to easily check a consistency of a used rule base and provides a more systematic approach to design of fuzzy control systems comparing with the classical techniques. The experimental results demonstrate that a mobile robot equipped with the presented system is able to successfully avoid obstacles and safely navigate on an experimental arena.
Keywords
biomimetics; collision avoidance; control system synthesis; fuzzy control; human-robot interaction; mobile robots; safety; animal-robot interaction; autonomous mobile robot; chicken robot safety; communication channel; consistency checking; fuzzy control system design; fuzzy obstacle avoidance system design; fuzzy relation equation theory; mixed animal-robot society; real-time collision avoidance system design; rule base; scientific exploration; social animal group behavior; systematic approach; Animals; Collision avoidance; Communication channels; Equations; Fuzzy control; Fuzzy systems; Mobile robots; Navigation; Real time systems; Safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location
Jeju Island
ISSN
1098-7584
Print_ISBN
978-1-4244-3596-8
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2009.5277298
Filename
5277298
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