Abstract
Cooperative behavior realization is an important aspect of Multi-Agent Systems, and it has been widely addressed by the robotics community. However, the interaction among multiple robots and a human operator still requires a non-negligible effort to be effective. The availability of modern input devices can ease the behavior composition process, allowing a user to train Multi-Agent Systems by using alternative methods. In this paper, we introduce a novel approach to integrate Tangible User Interfaces within a reconfigurable software architecture, for cooperative Multi-Robot Systems. To address a real test case, we implemented a strategy training system for a humanoid RoboCup soccer team. Such a system allows a human coach to train several robotic players by using multiple input interfaces, directly onto the application field.
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Randelli, G., Marchetti, L., Marino, F.A., Iocchi, L. (2011). Multi-agent Behavior Composition through Adaptable Software Architectures and Tangible Interfaces. In: Ruiz-del-Solar, J., Chown, E., Plöger, P.G. (eds) RoboCup 2010: Robot Soccer World Cup XIV. RoboCup 2010. Lecture Notes in Computer Science(), vol 6556. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20217-9_24
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DOI: https://doi.org/10.1007/978-3-642-20217-9_24
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