SWARM
Self-Alignment Approach Based on Cooperative Behaviors for the Docking Process of Modular Mobile Robots
Yadira Quiñonez, José Baca, Javier de Lope, Manuel Ferré, Rafaél Aracil
- Year
- 2010
- Citations
- 5
Abstract
In this paper, a self-alignment approach based on cooperative behaviors is proposed for the docking process of modular mobile robots. Each cooperative behavior is modeled by means of artificial neural networks (ANN) to achieve a common goal. Based on RobMAT a modular robot system in the mobile configuration, two strategies are presented. For this purpose a robotic device simulator (Player) and a multi-robot simulation in 2D (Stage) are used. Experimental results display differences between both strategies and benefits in time execution.
Keywords
Modular designSelf-reconfiguring modular robotComputer scienceMobile robotRobotProcess (computing)Docking (animal)Artificial neural networkArtificial intelligenceDistributed computing
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