Title :
Foodball: Emergent resource gathering in collective robotic environments
Author :
Cioarga, Razvan-Dorel ; Micea, Mihai V. ; Cretu, Vladimir ; Banc, Andrei ; Groza, Voicu
Author_Institution :
Comput. Sci. & Eng. Dept., Politeh. Univ. of Timisoara, Timisoara, Romania
Abstract :
Robotic collectives have been a very popular research topic in the last years. Also, applying emergent behavior patterns to such collectives has been similarly popular. This article introduces a mathematical model for resource gathering applications which is based on the study of ant colonies and validates it by simulating it inside Microsoft Robotics Studio simulator. The model is based on the implementation of a new emergent pattern, called “patrol”. During the course of the simulations, another emergent behavior pattern, called “Foodball”, is studied.
Keywords :
digital simulation; multi-robot systems; optimisation; Foodball; Microsoft Robotics Studio simulator; ant colonies; collective robotic environments; emergent behavior patterns; emergent resource gathering; Mathematical model; Mobile robots; Robot kinematics; Robot sensing systems; Wheels;
Conference_Titel :
Robotic and Sensors Environments (ROSE), 2011 IEEE International Symposium on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-0819-0
DOI :
10.1109/ROSE.2011.6058537