In this Master's thesis are applied distributed consensus and game theoretical algorithms to control a population of agents. The agents are embodies by Lego Mindstorm robots and controlled remotely with Bluetooth by the PC. Using a platform implemented in LabVIEW, which includes a camera and a pattern recognition tool, the robots are controlled to perform different tasks such as convergence to consensus position and formation

Distributed control based on evolutionary game theory: multi-agent experiment

Filippi, Sofia
2016/2017

Abstract

In this Master's thesis are applied distributed consensus and game theoretical algorithms to control a population of agents. The agents are embodies by Lego Mindstorm robots and controlled remotely with Bluetooth by the PC. Using a platform implemented in LabVIEW, which includes a camera and a pattern recognition tool, the robots are controlled to perform different tasks such as convergence to consensus position and formation
2016-04-11
game theory, population dynamics, Mindstorms
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/25546